Man page - nvidia-smi(1)

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Manual

nvidia-smi

NAME

nvidia-smi - NVIDIA System Management Interface program

SYNOPSIS

nvidia-smi [OPTION1 [ARG1]] [OPTION2 [ARG2]] ...

DESCRIPTION

nvidia-smi (also NVSMI) provides monitoring and management capabilities for each of NVIDIA’s Tesla, Quadro, GRID and GeForce devices from Fermi and higher architecture families. GeForce Titan series devices are supported for most functions with very limited information provided for the remainder of the Geforce brand. NVSMI is a cross platform tool that supports all standard NVIDIA driver-supported Linux distros, as well as 64bit versions of Windows starting with Windows Server 2008 R2. Metrics can be consumed directly by users via stdout, or provided by file via CSV and XML formats for scripting purposes.

Note that much of the functionality of NVSMI is provided by the underlying NVML C-based library. See the NVIDIA developer website link below for more information about NVML. NVML-based python bindings are also available.

The output of NVSMI is not guaranteed to be backwards compatible. However, both NVML and the Python bindings are backwards compatible, and should be the first choice when writing any tools that must be maintained across NVIDIA driver releases.

NVML SDK: https://docs.nvidia.com/deploy/nvml-api/index.html

Python bindings: http://pypi.python.org/pypi/nvidia-ml-py/

OPTIONS

GENERAL OPTIONS

-h, --help

Print usage information and exit.

--version

Print version information and exit.

LIST OPTIONS

-L, --list-gpus

List each of the NVIDIA GPUs in the system, along with their UUIDs.

-B, --list-excluded-gpus

List each of the excluded NVIDIA GPUs in the system, along with their UUIDs.

SUMMARY OPTIONS

Show a summary of GPUs connected to the system.

-col, --columns

Show a summary of GPUs connected to the system in a multi-column format.

[any one of]

-i, --id=ID

Target a specific GPU.

-f FILE, --filename=FILE

Log to the specified file, rather than to stdout.

-l SEC, --loop=SEC

Probe until Ctrl+C at specified second interval.

QUERY OPTIONS

-q, --query

Display GPU or Unit info. Displayed info includes all data listed in the ( GPU ATTRIBUTES ) or ( UNIT ATTRIBUTES ) sections of this document. Some devices and/or environments don’t support all possible information. Any unsupported data is indicated by a "N/A" in the output. By default information for all available GPUs or Units is displayed. Use the -i option to restrict the output to a single GPU or Unit.

[plus optionally]

-u, --unit

Display Unit data instead of GPU data. Unit data is only available for NVIDIA S-class Tesla enclosures.

-i, --id=ID

Display data for a single specified GPU or Unit. The specified id may be the GPU/Unit’s 0-based index in the natural enumeration returned by the driver, the GPU’s board serial number, the GPU’s UUID, or the GPU’s PCI bus ID (as domain:bus:device.function in hex). It is recommended that users desiring consistency use either UUID or PCI bus ID, since device enumeration ordering is not guaranteed to be consistent between reboots and board serial number might be shared between multiple GPUs on the same board.

-f FILE, --filename=FILE

Redirect query output to the specified file in place of the default stdout. The specified file will be overwritten.

-x, --xml-format

Produce XML output in place of the default human-readable format. Both GPU and Unit query outputs conform to corresponding DTDs. These are available via the --dtd flag.

--dtd

Use with -x . Embed the DTD in the XML output.

--debug=FILE

Produces an encrypted debug log for use in submission of bugs back to NVIDIA.

-d TYPE, --display=TYPE

Display only selected information: MEMORY, UTILIZATION, ECC, TEMPERATURE, POWER, CLOCK, COMPUTE, PIDS, PERFORMANCE, SUPPORTED_CLOCKS, PAGE_RETIREMENT, ACCOUNTING, ENCODER_STATS, SUPPORTED_GPU_TARGET_TEMP, VOLTAGE, FBC_STATS, ROW_REMAPPER, GSP_FIRMWARE_VERSION, POWER_SMOOTHING, POWER_PROFILES Flags can be combined with comma e.g. "MEMORY,ECC". Sampling data with max, min and avg is also returned for POWER, UTILIZATION and CLOCK display types. Doesn’t work with -u/--unit or -x/--xml-format flags.

-l SEC, --loop=SEC

Continuously report query data at the specified interval, rather than the default of just once. The application will sleep in-between queries. Note that on Linux ECC error or Xid error events will print out during the sleep period if the -x flag was not specified. Pressing Ctrl+C at any time will abort the loop, which will otherwise run indefinitely. If no argument is specified for the -l form a default interval of 5 seconds is used.

-lms ms, --loop-ms=ms

Same as -l,--loop but in milliseconds.

SELECTIVE QUERY OPTIONS

Allows the caller to pass an explicit list of properties to query.

[one of]

--query-gpu=

Information about GPU. Pass comma separated list of properties you want to query. e.g. --query-gpu=pci.bus_id,persistence_mode. Call --help-query-gpu for more info.

--query-supported-clocks=

List of supported clocks. Call --help-query-supported-clocks for more info.

--query-compute-apps=

List of currently active compute processes. Call --help-query-compute-apps for more info.

--query-accounted-apps=

List of accounted compute processes. Call --help-query-accounted-apps for more info. This query is not supported on vGPU host.

--query-retired-pages=

List of GPU device memory pages that have been retired. Call --help-query-retired-pages for more info.

--query-remapped-rows=

Information about remapped rows. Call --help-query-remapped-rows for more info.

[mandatory]

--format=

Comma separated list of format options:

	•		csv - comma separated values (MANDATORY)
	•		noheader - skip first line with column headers
	•		nounits - don’t print units for numerical values

[plus any of]

-i, --id=ID

Display data for a single specified GPU. The specified id may be the GPU’s 0-based index in the natural enumeration returned by the driver, the GPU’s board serial number, the GPU’s UUID, or the GPU’s PCI bus ID (as domain:bus:device.function in hex). It is recommended that users desiring consistency use either UUID or PCI bus ID, since device enumeration ordering is not guaranteed to be consistent between reboots and board serial number might be shared between multiple GPUs on the same board.

-f FILE, --filename=FILE

Redirect query output to the specified file in place of the default stdout. The specified file will be overwritten.

-l SEC, --loop=SEC

-lms ms, --loop-ms=ms

Same as -l,--loop but in milliseconds.

DEVICE MODIFICATION OPTIONS

[any one of]

-pm, --persistence-mode=MODE

Set the persistence mode for the target GPUs. See the ( GPU ATTRIBUTES ) section for a description of persistence mode. Requires root. Will impact all GPUs unless a single GPU is specified using the -i argument. The effect of this operation is immediate. However, it does not persist across reboots. After each reboot persistence mode will default to "Disabled". Available on Linux only.

-e, --ecc-config=CONFIG

Set the ECC mode for the target GPUs. See the ( GPU ATTRIBUTES ) section for a description of ECC mode. Requires root. Will impact all GPUs unless a single GPU is specified using the -i argument. This setting takes effect after the next reboot and is persistent.

-p, --reset-ecc-errors=TYPE

Reset the ECC error counters for the target GPUs. See the ( GPU ATTRIBUTES ) section for a description of ECC error counter types. Available arguments are 0\|VOLATILE or 1\|AGGREGATE. Requires root. Will impact all GPUs unless a single GPU is specified using the -i argument. The effect of this operation is immediate. Clearing aggregate counts is not supported on Ampere+

-c, --compute-mode=MODE

Set the compute mode for the target GPUs. See the ( GPU ATTRIBUTES ) section for a description of compute mode. Requires root. Will impact all GPUs unless a single GPU is specified using the -i argument. The effect of this operation is immediate. However, it does not persist across reboots. After each reboot compute mode will reset to "DEFAULT".

-dm TYPE, --driver-model=TYPE

-fdm TYPE, --force-driver-model=TYPE

Modify the driver model. For Windows only. Requires administrator privileges. -dm will fail if a display is attached, but -fdm will force the driver model to change. Will impact all GPUs unless a single GPU is specified using the -i argument. A reboot is required for the change to take place. See Driver Model for more information on Windows driver models. An error message indicates that setting the field failed.

--gom=MODE

Set GPU Operation Mode: 0/ALL_ON, 1/COMPUTE, 2/LOW_DP Supported on GK110 M-class and X-class Tesla products from the Kepler family. Not supported on Quadro and Tesla C-class products. LOW_DP and ALL_ON are the only modes supported on GeForce Titan devices. Requires administrator privileges. See GPU Operation Mode for more information about GOM. GOM changes take effect after reboot. The reboot requirement might be removed in the future. Compute only GOMs don’t support WDDM (Windows Display Driver Model)

-r, --gpu-reset

Trigger a reset of one or more GPUs. Can be used to clear GPU HW and SW state in situations that would otherwise require a machine reboot. Typically useful if a double bit ECC error has occurred. Optional -i switch can be used to target one or more specific devices. Without this option, all GPUs are reset. Requires root. There can’t be any applications using these devices (e.g. CUDA application, graphics application like X server, monitoring application like other instance of nvidia-smi). There also can’t be any compute applications running on any other GPU in the system if individual GPU reset is not feasible.

Starting with the NVIDIA Ampere architecture, GPUs with NVLink connections can be individually reset. On Ampere NVSwitch systems, Fabric Manager is required to facilitate reset. On Hopper and later NVSwitch systems, the dependency on Fabric Manager to facilitate reset is removed.

If Fabric Manager is not running, or if any of the GPUs being reset are based on an architecture preceding the NVIDIA Ampere architecture, any GPUs with NVLink connections to a GPU being reset must also be reset in the same command. This can be done either by omitting the -i switch, or using the -i switch to specify the GPUs to be reset. If the -i option does not specify a complete set of NVLink GPUs to reset, this command will issue an error identifying the additional GPUs that must be included in the reset command.

Specific details are outlined in the tables below:

NVSwitch systems:

GPU Family | Fabric Manager running | Fabric Manager not running
------------|------------------------------|------------------------------
Pre-Ampere | All PEER connected GPUs must | All PEER connected GPUs must
| be reset in same command. | be reset in same command
Ampere+ | Each GPU can be reset | All PEER connected GPUs must
| individually | be reset in same command

Direct connected NVLink systems: (FM is not supported, as no NVSwitch HW is present)

GPU Family | Capabilities
------------|-------------------------------------------------------
Pre-Ampere | All PEER connected GPUs must be reset in same command
Ampere+ | Each GPU can be reset individually

GPU reset is not guaranteed to work in all cases. It is not recommended for production environments at this time. In some situations there may be HW components on the board that fail to revert back to an initial state following the reset request. This is more likely to be seen on Fermi-generation products vs. Kepler, and more likely to be seen if the reset is being performed on a hung GPU.

Following a reset, it is recommended that the health of each reset GPU be verified before further use. If any GPU is not healthy a complete reset should be instigated by power cycling the node.

Reset triggered without extra arguments, will be a default Function Level Reset (FLR). To issue a Bus Reset, use -r bus. For certain platforms only Function Level Reset is possible.

GPU reset operation will not be supported on MIG enabled vGPU guests.

Visit http://developer.nvidia.com/gpu-deployment-kit to download the GDK.

-vm, --virt-mode=MODE

Switch GPU Virtualization Mode. Sets GPU virtualization mode to 3/VGPU or 4/VSGA. Virtualization mode of a GPU can only be set when it is running on a hypervisor.

-lgc, --lock-gpu-clocks=MIN_GPU_CLOCK,MAX_GPU_CLOCK

Specifies <minGpuClock,maxGpuClock> clocks as a pair (e.g. 1500,1500) that defines closest desired locked GPU clock speed in MHz. Input can also use be a singular desired clock value (e.g. <GpuClockValue>). Optionally, --mode can be supplied to specify the clock locking modes. Supported on Volta+. Requires root.
--mode=0 (Default)

This mode is the default clock locking mode and provides the highest possible frequency accuracies supported by the hardware.

--mode=1

The clock locking algorithm leverages close loop controllers to achieve frequency accuracies with improved perf per watt for certain class of applications. Due to convergence latency of close loop controllers, the frequency accuracies may be slightly lower than default mode 0.

-lmc, --lock-memory-clocks=MIN_MEMORY_CLOCK,MAX_MEMORY_CLOCK

Specifies <minMemClock,maxMemClock> clocks as a pair (e.g. 5100,5100) that defines the range of desired locked Memory clock speed in MHz. Input can also be a singular desired clock value (e.g. <MemClockValue>). Requires root. Note: this option does not work on GPUs based on NVIDIA Hopper architectures; to lock memory clocks on those systems use --lock-memory-clocks-deferred instead.

-rgc, --reset-gpu-clocks

Resets the GPU clocks to the default value. Supported on Volta+. Requires root.

-rmc, --reset-memory-clocks

Resets the memory clocks to the default value. Supported on Volta+. Requires root.

-ac, --applications-clocks=MEM_CLOCK,GRAPHICS_CLOCK

This option is deprecated and will be removed in in a future CUDA release. Please use -lmc for locking memory clocks and -lgc for locking graphics clocks. Specifies maximum <memory,graphics> clocks as a pair (e.g. 2000,800) that defines GPU’s speed while running applications on a GPU. Supported on Maxwell-based GeForce and from the Kepler+ family in Tesla/Quadro/Titan devices. Requires root.

-rac, --reset-applications-clocks

This option is deprecated and will be removed in in a CUDA future release. Resets the applications clocks to the default value. Supported on Maxwell-based GeForce and from the Kepler+ family in Tesla/Quadro/Titan devices. Requires root.

-lmcd, --lock-memory-clocks-deferred

Specifies the memory clock that defines the closest desired Memory Clock in MHz. The memory clock takes effect the next time the GPU is initialized. This can be guaranteed by unloading and reloading the kernel module. Requires root.

-rmcd, --reset-memory-clocks-deferred

Resets the memory clock to default value. Driver unload and reload is required for this to take effect. This can be done by unloading and reloading the kernel module. Requires root.

-pl, --power-limit=POWER_LIMIT

Specifies maximum power limit in watts. Accepts integer and floating point numbers. it takes an optional argument --scope. Only on supported devices from Kepler family. Value needs to be between Min and Max Power Limit as reported by nvidia-smi. Requires root.

-sc, --scope=0/GPU, 1/TOTAL_MODULE

Specifies the scope of the power limit. Following are the options: 0/GPU: This only changes power limits for the GPU. 1/Module: This changes the power limits for the module containing multiple components. E.g. GPU and CPU.

-cc, --cuda-clocks=MODE

Overrides or restores default CUDA clocks. Available arguments are: 0\|RESTORE_DEFAULT or 1\|OVERRIDE. Requires root.

-am, --accounting-mode=MODE

Enables or disables GPU Accounting. With GPU Accounting one can keep track of usage of resources throughout lifespan of a single process. Only on supported devices from Kepler family. Requires administrator privileges. Available arguments are 0\|DISABLED or 1\|ENABLED.

-caa, --clear-accounted-apps

Clears all processes accounted so far. Only on supported devices from Kepler family. Requires administrator privileges.

--auto-boost-default=MODE

This option is deprecated and will be removed in a future CUDA release. Set the default auto boost policy to 0/DISABLED or 1/ENABLED, enforcing the change only after the last boost client has exited. Only on certain Tesla devices from the Kepler+ family and Maxwell-based GeForce devices. Requires root.

--auto-boost-permission=MODE

This option is deprecated and will be removed in a future CUDA release. Allow non-admin/root control over auto boost mode. Available arguments are 0\|UNRESTRICTED, 1\|RESTRICTED. Only on certain Tesla devices from the Kepler+ family and Maxwell-based GeForce devices. Requires root.

-mig, --multi-instance-gpu=MODE

Enables or disables Multi Instance GPU mode. Only supported on devices based on the NVIDIA Ampere architecture. Requires root. Available arguments are 0\|DISABLED or 1\|ENABLED.

-gtt, --gpu-target-temp=MODE

Set GPU Target Temperature for a GPU in degrees celsius. Target temperature should be within limits supported by GPU. These limits can be retrieved by using query option with SUPPORTED_GPU_TARGET_TEMP. Requires Root.

--set-hostname=hostname

Set the hostname associated with device. Should be a maximum length of 64 characters (including the terminating NULL character). Requires root.

--get-hostname

Retrieves the hostname associated with the device.

[plus optionally]

-i, --id=ID

Modify a single specified GPU. The specified id may be the GPU/Unit’s 0-based index in the natural enumeration returned by the driver, the GPU’s board serial number, the GPU’s UUID, or the GPU’s PCI bus ID (as domain:bus:device.function in hex). It is recommended that users desiring consistency use either UUID or PCI bus ID, since device enumeration ordering is not guaranteed to be consistent between reboots and board serial number might be shared between multiple GPUs on the same board.

-eom, --error-on-warning

Return a non-zero error for warnings.

UNIT MODIFICATION OPTIONS

-t, --toggle-led=STATE

Set the LED indicator state on the front and back of the unit to the specified color. See the ( UNIT ATTRIBUTES ) section for a description of the LED states. Allowed colors are 0\|GREEN and 1\|AMBER. Requires root.

[plus optionally]

-i, --id=ID

Modify a single specified Unit. The specified id is the Unit’s 0-based index in the natural enumeration returned by the driver.

SHOW DTD OPTIONS

--dtd

Display Device or Unit DTD.

[plus optionally]

-f FILE, --filename=FILE

Redirect query output to the specified file in place of the default stdout. The specified file will be overwritten.

-u, --unit

Display Unit DTD instead of device DTD.

topo

Display topology information about the system. Use "nvidia-smi topo -h" for more information. Linux only. Shows all GPUs NVML is able to detect but CPU and NUMA node affinity information will only be shown for GPUs with Kepler or newer architectures. Note: GPU enumeration is the same as NVML.

drain

Display and modify the GPU drain states. A drain state is one in which the GPU is no longer accepting new clients, and is used while preparing to power down the GPU. Use "nvidia-smi drain -h" for more information. Linux only.

nvlink

Display nvlink information. Use "nvidia-smi nvlink -h" for more information.

clocks

Query and control clocking behavior. Use "nvidia-smi clocks --help" for more information.

vgpu

Display information on GRID virtual GPUs. Use "nvidia-smi vgpu -h" for more information.

mig

Provides controls for MIG management. "nvidia-smi mig -h" for more information.

boost-slider

Provides controls for boost sliders management. "nvidia-smi boost-slider -h" for more information.

power-hint

Provides queries for power hint. "nvidia-smi power-hint -h" for more information.

conf-compute

Provides control and queries for confidential compute. "nvidia-smi conf-compute -h" for more information.

power-smoothing

Provides controls and information for power smoothing. "nvidia-smi power-smoothing -h" for more information.

power-profiles

Profiles controls and information for workload power profiles. "nvidia-smi power-profiles -h" for more information.

encodersessions

Display Encoder Sessions information. "nvidia-smi encodersessions -h" for more information.

RETURN VALUE

Return code reflects whether the operation succeeded or failed and what was the reason of failure.

	•		Return code 0 - Success
	•		Return code 2 - A supplied argument or flag is invalid
	•		Return code 3 - The requested operation is not available on target device
	•		Return code 4 - The current user does not have permission to access this device or perform this operation
	•		Return code 6 - A query to find an object was unsuccessful
	•		Return code 8 - A device’s external power cables are not properly attached
	•		Return code 9 - NVIDIA driver is not loaded
	•		Return code 10 - NVIDIA Kernel detected an interrupt issue with a GPU
	•		Return code 12 - NVML Shared Library couldn’t be found or loaded
	•		Return code 13 - Local version of NVML doesn’t implement this function
	•		Return code 14 - infoROM is corrupted
	•		Return code 15 - The GPU has fallen off the bus or has otherwise become inaccessible
	•		Return code 255 - Other error or internal driver error occurred

GPU ATTRIBUTES

The following list describes all possible data returned by the -q device query option. Unless otherwise noted all numerical results are base 10 and unitless.

Timestamp

The current system timestamp at the time nvidia-smi was invoked. Format is "Day-of-week Month Day HH:MM:SS Year".

Driver Version

The version of the installed NVIDIA display driver. This is an alphanumeric string.

CUDA Version

The latest CUDA version supported by the driver. This is usually, but not always, the version of the CUDA toolkit installed on the system. This is an alphanumeric string.

Attached GPUs

The number of NVIDIA GPUs in the system.

Product Name

The official product name of the GPU. This is an alphanumeric string. For all products.

Product Brand

The official brand of the GPU. This is an alphanumeric string. For all products.

Product Architecture

The official architecture name of the GPU. This is an alphanumeric string. For all products.

Display Mode

This field is deprecated, and will be removed in a future release.

Display Attached

A flag that indicates whether a physical display (e.g. monitor) is currently connected to any of the GPU’s connectors. "Yes" indicates an attached display. "No" indicates otherwise.

Display Active

A flag that indicates whether a display is initialized on the GPU’s (e.g. memory is allocated on the device for display). Display can be active even when no monitor is physically attached. "Enabled" indicates an active display. "Disabled" indicates otherwise.

Persistence Mode

A flag that indicates whether persistence mode is enabled for the GPU. Value is either "Enabled" or "Disabled". When persistence mode is enabled the NVIDIA driver remains loaded even when no active clients, such as X11 or nvidia-smi, exist. This minimizes the driver load latency associated with running dependent apps, such as CUDA programs. For all CUDA-capable products. Linux only.

Addressing Mode

A field that indicates which addressing mode is currently active. The value is "ATS" or "HMM" or "None". When the mode is "ATS", system allocated memory like malloc is addressable from the GPU via Address Translation Services. This means there is effectively a single set of page tables used by both the CPU and the GPU. When the mode is "HMM", system allocated memory like malloc is addressable from the GPU via software-based mirroring of the CPU’s page tables, on the GPU. When the mode is "None", neither ATS nor HMM is active. Linux only.

MIG Mode

MIG Mode configuration status

	Current		MIG mode currently in use - NA/Enabled/Disabled
	Pending		Pending configuration of MIG Mode - Enabled/Disabled

MIG Device

When MIG is enabled, each MIG device has the following attributes displayed:

Index

Unique identifier for this MIG device within its parent GPU.

GPU Instance ID

Identifier of the GPU instance that this MIG device belongs to.

Compute Instance ID

Identifier of the compute instance within the GPU instance.

Device Attributes

Hardware engines allocated to this MIG device. These are shared among compute instances associated with the same GPU instance.

Multiprocessor count

Number of SMs (Streaming Multiprocessors)

Copy Engine count

Number of copy engines

Encoder count

Number of video encoders

Decoder count

Number of video decoders

OFA count

Number of OFAs (Optical Flow Accelerators)

JPG count

Number of JPEG encoders/decoders

ECC Errors

ECC error counts for this MIG device.

SRAM uncorrectable errors

Number of uncorrectable errors detected in any of the SRAMs.

Shared FB Memory Usage

FB memory allocation and usage of this MIG device. This is shared among the compute instances associated with the same GPU instance.

Total

Total size of FB memory.

Reserved

Reserved size of FB memory.

Used

Used size of FB memory.

Free

Available size of FB memory.

Shared BAR1 Memory

BAR1 memory allocation and usage of this MIG device. This is shared among the compute instances associated with the same GPU instance.

Total

Total size of BAR1 memory.

Used

Used size of BAR1 memory.

Free

Available size of BAR1 memory.

Accounting Mode

A flag that indicates whether accounting mode is enabled for the GPU. Value is either "Enabled" or "Disabled". When accounting is enabled statistics are calculated for each compute process running on the GPU. Statistics can be queried during the lifetime or after termination of the process. The execution time of process is reported as 0 while the process is in running state and updated to actual execution time after the process has terminated. See --help-query-accounted-apps for more info.

Accounting Mode Buffer Size

Returns the size of the circular buffer that holds list of processes that can be queried for accounting stats. This is the maximum number of processes that accounting information will be stored for before information about oldest processes will get overwritten by information about new processes.

Driver Model

On Windows, the TCC, WDDM and MCDM driver models are supported. The driver model can be changed with the (-dm) or (-fdm) flags. The TCC driver model is optimized for compute applications i.e. kernel launch times will be quicker with TCC. The WDDM driver model is designed for graphics applications and is not recommended for compute applications. Linux does not support multiple driver models, and will always have the value of "N/A".

	Current		The driver model currently in use. Always "N/A" on Linux.
	Pending		The driver model that will be used on the next reboot. Always "N/A" on Linux.

Serial Number

This number matches the serial number physically printed on each board. It is a globally unique immutable alphanumeric value.

GPU UUID

This value is the globally unique immutable alphanumeric identifier of the GPU. It does not correspond to any physical label on the board.

GPU PDI

This value is the Per Device Identifier of the GPU. It is a 64-bit value that provides uniqueness guarantee for the GPU.

Minor Number

The minor number for the device is such that the NVIDIA device node file for each GPU will have the form /dev/nvidia[minor number]. Available only on Linux platform.

VBIOS Version

The BIOS of the GPU board.

MultiGPU Board

Whether or not this GPU is part of a multiGPU board.

Board ID

The unique board ID assigned by the driver. If two or more GPUs have the same board ID and the above "MultiGPU" field is true then the GPUs are on the same board.

Board Part Number

The unique part number of the GPU’s board

GPU Part Number

The unique part number of the GPU

FRU Part Number

Unique FRU part number of the GPU

Platform Info

Platform Information are compute tray platform specific information. They are GPU’s positional index and platform identifying information.

Chassis Serial Number

Serial Number of the chassis containing this GPU.

Slot Number

The slot number in the chassis containing this GPU (includes switches).

Tray Index

The tray index within the compute slots in the chassis containing this GPU (does not include switches).

Host ID

Index of the node within the slot containing this GPU.

Peer Type

Platform indicated NVLink-peer type (e.g. switch present or not).

Module Id

ID of this GPU within the node.

GPU Fabric GUID

Fabric ID for this GPU.

Inforom Version

Version numbers for each object in the GPU board’s inforom storage. The inforom is a small, persistent store of configuration and state data for the GPU. All inforom version fields are numerical. It can be useful to know these version numbers because some GPU features are only available with inforoms of a certain version or higher.

If any of the fields below return Unknown Error additional Inforom verification check is performed and appropriate warning message is displayed.

	Image Version		Global version of the infoROM image. Image version just like VBIOS version uniquely describes the exact version of the infoROM flashed on the board in contrast to infoROM object version which is only an indicator of supported features.
	OEM Object		Version for the OEM configuration data.
	ECC Object		Version for the ECC recording data.

Power Management Object

Version for the power management data.

Inforom checksum validation

Inforom checksum validation ("valid", "invalid", "N/A") Only available via --query-gpu inforom.checksum_validation

Inforom BBX Object Flush

Information about flushing of the blackbox data to the inforom storage.
Latest Timestamp

The timestamp of the latest flush of the BBX Object during the current run.

Latest Duration

The duration of the latest flush of the BBX Object during the current run.

GPU Operation Mode

GOM allows one to reduce power usage and optimize GPU throughput by disabling GPU features.

Each GOM is designed to meet specific user needs.

In "All On" mode everything is enabled and running at full speed.

The "Compute" mode is designed for running only compute tasks. Graphics operations are not allowed.

The "Low Double Precision" mode is designed for running graphics applications that don’t require high bandwidth double precision.

GOM can be changed with the (--gom) flag.

Supported on GK110 M-class and X-class Tesla products from the Kepler family. Not supported on Quadro and Tesla C-class products. Low Double Precision and All On modes are the only modes available for supported GeForce Titan products.

	Current		The GOM currently in use.
	Pending		The GOM that will be used on the next reboot.

GPU C2C Mode

The C2C mode of the GPU.

GPU Reset Status

Reset status of the GPU. This functionality is deprecated.

Reset Required

Requested functionality has been deprecated

Drain and Reset Recommended

Requested functionality has been deprecated

GPU Recovery Action

Action to take to clear fault that previously happened. It is not intended for determining which fault triggered recovery action.
Possible values: None, Reset, Reboot, Drain P2P, Drain and Reset

None

No recovery action needed

Reset

Example scenario - Uncontained HBM/SRAM UCE
The GPU has encountered a fault that requires a reset to recover.
Terminate all GPU processes, reset the GPU using ’nvidia-smi -r’, and the GPU can be used again by starting new GPU processes.

Reboot

Example scenario - UVM fatal error
The GPU has encountered a fault may have left the OS in an inconsistent state.
Reboot the operating system to restore the OS back to a consistent state.
Node reboot required.
Application cannot restart without node reboot
OS warm reboot is sufficient (no need for AC/DC cycle)

Drain P2P

Example scenario - N/A
The GPU has encountered a fault that requires all peer-to-peer traffic to be quiesced.
Terminate all GPU processes that conduct peer-to-peer traffic and disable UVM persistence mode.
Disable job scheduling (no new jobs), stop all applications when convenient, if persistence mode is enabled, disable it
Once all peer-to-peer traffic are drained, query NVML_FI_DEV_GET_GPU_RECOVERY_ACTION again, which will return one of the other actions.
If still DRAIN_P2P, then GPU reset.

Drain and Reset

Example scenario - Contained HBM UCE
Reset Recommended.
The GPU has encountered a fault that results the GPU to temporarily operate at a reduced capacity, such as part of its frame buffer memory being offlined, or some of its MIG partitions down.
No new work should be scheduled on the GPU, but existing work that didn’t get affected are safe to continue until they finish or reach a good checkpoint.
Safe to restart application (memory capacity will be reduced due to dynamic page offlining), but need to eventually reset (to get row remap).
Asserted only for UCE row remaps.
After all existing work have drained, reset the GPU to regain its full capacity.

GSP Firmware Version

Firmware version of GSP. This is an alphanumeric string.

PCI

Basic PCI info for the device. Some of this information may change whenever cards are added/removed/moved in a system. For all products.

	Bus		PCI bus number, in hex
	Device		PCI device number, in hex
	Domain		PCI domain number, in hex
	Base Classcode		PCI Base classcode, in hex
	Sub Classcode		PCI Sub classcode, in hex
	Device Id		PCI vendor device id, in hex
	Sub System Id		PCI Sub System id, in hex
	Bus Id		PCI bus id as "domain:bus:device.function", in hex

GPU Link information

The PCIe link generation and bus width

	Current		The current link generation and width. These may be reduced when the GPU is not in use.
	Max		The maximum link generation and width possible with this GPU and system configuration. For example, if the GPU supports a higher PCIe generation than the system supports then this reports the system PCIe generation.

Bridge Chip

Information related to Bridge Chip on the device. The bridge chip firmware is only present on certain boards and may display "N/A" for some newer multiGPUs boards.

Type

The type of bridge chip. Reported as N/A if doesn’t exist.

Firmware Version

The firmware version of the bridge chip. Reported as N/A if doesn’t exist.

Replays Since Reset

The number of PCIe replays since reset.

Replay Number Rollovers

The number of PCIe replay number rollovers since reset. A replay number rollover occurs after 4 consecutive replays and results in retraining the link.

Tx Throughput

The GPU-centric transmission throughput across the PCIe bus in MB/s over the past 20ms. Only supported on Maxwell architectures and newer.

Rx Throughput

The GPU-centric receive throughput across the PCIe bus in MB/s over the past 20ms. Only supported on Maxwell architectures and newer.

Atomic Caps

The PCIe atomic capabilities of outbound/inbound operations of the GPU.

Fan Speed

The fan speed value is the percent of the product’s maximum noise tolerance fan speed that the device’s fan is currently intended to run at. This value may exceed 100% in certain cases. Note: The reported speed is the intended fan speed. If the fan is physically blocked and unable to spin, this output will not match the actual fan speed. Many parts do not report fan speeds because they rely on cooling via fans in the surrounding enclosure. For all discrete products with dedicated fans.

Performance State

The current performance state for the GPU. States range from P0 (maximum performance) to P12 (minimum performance).

Clocks Event Reasons

Retrieves information about factors that are reducing the frequency of clocks.

If all event reasons are returned as "Not Active" it means that clocks are running as high as possible.

Idle

This option is deprecated and will be removed in a future CUDA release. Nothing is running on the GPU and the clocks are dropping to Idle state.

Application Clocks Setting

This option is deprecated and will be removed in a future CUDA release. GPU clocks are limited by applications clocks setting. E.g. can be changed using nvidia-smi --applications-clocks=<Desired Clock Freq in MHz>

	SW Power Cap		SW Power Scaling algorithm is reducing the clocks below requested clocks because the GPU is consuming too much power. E.g. SW power cap limit can be changed with nvidia-smi --power-limit=<Power Limit Value in W>
	HW Slowdown		This option will be removed a future CUDA release. HW Slowdown is engaged, reducing the core clocks by a factor of 2 or more. It is active if either HW Thermal Slowdown or HW Power Brake are active.

HW Thermal Slowdown

HW Thermal Slowdowns are reducing the core clocks by a factor of 2 or more due to temperature being too high.

	HW Power Brake		External Power Brake Assertion is triggered (e.g. by the system power supply).
	Sync Boost		This GPU has been added to a Sync boost group with nvidia-smi or DCGM in order to maximize performance per watt. All GPUs will be limited by the frequency which can be achieved by the slowest GPU. Look at the throttle reasons for other GPUs in the system to see why those GPUs are holding this one at lower clocks.

SW Thermal Slowdown

SW Thermal capping algorithm is reducing clocks below requested clocks because GPU temperature is higher than Max Operating Temp

Display Clock Setting

This field will be removed in a future CUDA release. GPU clocks are limited by current setting of Display clocks. Only supported on Volta devices.

Clock Event Reasons Counters

Counters, in microseconds, for the amount of time factors have been reducing the frequency of clocks.
SW Power Capping

Amount of time SW Power Scaling algorithm has reduced the clocks below requested clocks because the GPU was consuming too much power.

Sync Boost Group

Amount of time the clock frequency of this GPU was reduced to match the minimum possible clock across the sync boost group.

SW Thermal Slowdown

Amount of time SW Thermal capping algorithm has reduced clocks below requested clocks because GPU temperature was higher than Max Operating Temp.

HW Thermal Slowdown

Amount of time HW Thermal Slowdown was engaged, reducing the core clocks by a factor of 2 or more, due to temperature being too high.

HW Power Braking

Amount of time External Power Brake Assertion was triggered (e.g. by the system power supply).

Sparse Operation Mode

A flag that indicates whether sparse operation mode is enabled for the GPU. Value is either "Enabled" or "Disabled". Reported as "N/A" if not supported.

FB Memory Usage

On-board frame buffer memory information. Reported total memory can be affected by ECC state. If ECC does affect the total available memory, memory is decreased by several percent, due to the requisite parity bits. The driver may also reserve a small amount of memory for internal use, even without active work on the GPU. On systems where GPUs are NUMA nodes, the accuracy of FB memory utilization provided by nvidia-smi depends on the memory accounting of the operating system. This is because FB memory is managed by the operating system instead of the NVIDIA GPU driver. Typically, pages allocated from FB memory are not released even after the process terminates to enhance performance. In scenarios where the operating system is under memory pressure, it may resort to utilizing FB memory. Such actions can result in discrepancies in the accuracy of memory reporting. For all products.

	Total		Total size of FB memory.
	Reserved		Reserved size of FB memory.
	Used		Used size of FB memory.
	Free		Available size of FB memory.

BAR1 Memory Usage

BAR1 is used to map the FB (device memory) so that it can be directly accessed by the CPU or by 3rd party devices (peer-to-peer on the PCIe bus).

	Total		Total size of BAR1 memory.
	Used		Used size of BAR1 memory.
	Free		Available size of BAR1 memory.

Compute Mode

The compute mode flag indicates whether individual or multiple compute applications may run on the GPU.

"Default" means multiple contexts are allowed per device.

"Exclusive Process" means only one context is allowed per device, usable from multiple threads at a time.

"Prohibited" means no contexts are allowed per device (no compute apps).

"EXCLUSIVE_PROCESS" was added in CUDA 4.0. Prior CUDA releases supported only one exclusive mode, which is equivalent to "EXCLUSIVE_THREAD" in CUDA 4.0 and beyond.

For all CUDA-capable products.

Utilization

Utilization rates report how busy each GPU is over time, and can be used to determine how much an application is using the GPUs in the system. Note: On MIG-enabled GPUs, querying the utilization of encoder, decoder, jpeg, ofa, gpu, and memory is not currently supported.

Note: During driver initialization when ECC is enabled one can see high GPU and Memory Utilization readings. This is caused by ECC Memory Scrubbing mechanism that is performed during driver initialization.

	GPU		Percent of time over the past sample period during which one or more kernels was executing on the GPU. The sample period may be between 1 second and 1/6 second depending on the product.
	Memory		Percent of time over the past sample period during which global (device) memory was being read or written. The sample period may be between 1 second and 1/6 second depending on the product.
	Encoder		Percent of time over the past sample period during which the GPU’s video encoder was being used. The sampling rate is variable and can be obtained directly via the nvmlDeviceGetEncoderUtilization() API
	Decoder		Percent of time over the past sample period during which the GPU’s video decoder was being used. The sampling rate is variable and can be obtained directly via the nvmlDeviceGetDecoderUtilization() API
	JPEG		Percent of time over the past sample period during which the GPU’s JPEG decoder was being used. The sampling rate is variable and can be obtained directly via the nvmlDeviceGetJpgUtilization() API
	OFA		Percent of time over the past sample period during which the GPU’s OFA (Optical Flow Accelerator) was being used. The sampling rate is variable and can be obtained directly via the nvmlDeviceGetOfaUtilization() API

Encoder Stats

Encoder Stats report the count of active encoder sessions, along with the average Frames Per Second (FPS) and average latency (in microseconds) for all these active sessions on this device.
Active Sessions

The total number of active encoder sessions on this device.

Average FPS

The average Frame Per Sencond (FSP) of all active encoder sessions on this device.

Average Latency

The average latency in microseconds of all active encoder sessions on this device.

DRAM Encryption Mode

A flag that indicates whether DRAM Encryption support is enabled. May be either "Enabled" or "Disabled". Changes to DRAM Encryption mode require a reboot. Requires Inforom ECC object.

	Current		The DRAM Encryption mode that the GPU is currently operating under.
	Pending		The DRAM Encryption mode that the GPU will operate under after the next reboot.

ECC Mode

A flag that indicates whether ECC support is enabled. May be either "Enabled" or "Disabled". Changes to ECC mode require a reboot. Requires Inforom ECC object version 1.0 or higher.

	Current		The ECC mode that the GPU is currently operating under.
	Pending		The ECC mode that the GPU will operate under after the next reboot.

ECC Errors

NVIDIA GPUs can provide error counts for various types of ECC errors. Some ECC errors are either single or double bit, where single bit errors are corrected and double bit errors are uncorrectable. Texture memory errors may be correctable via resend or uncorrectable if the resend fails. These errors are available across two timescales (volatile and aggregate). Single bit ECC errors are automatically corrected by the HW and do not result in data corruption. Double bit errors are detected but not corrected. Please see the ECC documents on the web for information on compute application behavior when double bit errors occur. Volatile error counters track the number of errors detected since the last driver load. Aggregate error counts persist indefinitely and thus act as a lifetime counter.

A note about volatile counts: On Windows this is once per boot. On Linux this can be more frequent. On Linux the driver unloads when no active clients exist. Hence, if persistence mode is enabled or there is always a driver client active (e.g. X11), then Linux also sees per-boot behavior. If not, volatile counts are reset each time a compute app is run.

Tesla and Quadro products pre-volta can display total ECC error counts, as well as a breakdown of errors based on location on the chip. The locations are described below. Location-based data for aggregate error counts requires Inforom ECC object version 2.0. All other ECC counts require ECC object version 1.0.

	Device Memory		Errors detected in global device memory.
	Register File		Errors detected in register file memory.
	L1 Cache		Errors detected in the L1 cache.
	L2 Cache		Errors detected in the L2 cache.
	Texture Memory		Parity errors detected in texture memory.
	Total		Total errors detected across entire chip. Sum of Device Memory , Register File , L1 Cache , L2 Cache and Texture Memory .

On Turing the output is such:
SRAM Correctable

Number of correctable errors detected in any of the SRAMs

SRAM Uncorrectable

Number of uncorrectable errors detected in any of the SRAMs

DRAM Correctable

Number of correctable errors detected in the DRAM

DRAM Uncorrectable

Number of uncorrectable errors detected in the DRAM

On Ampere+ The categorization of SRAM errors has been expanded upon. SRAM errors are now categorized as either parity or SEC-DED (single error correctable/double error detectable) depending on which unit hit the error. A histogram has been added that categorizes what unit hit the SRAM error. Additionally a flag has been added that indicates if the threshold for the specific SRAM has been exceeded.
SRAM Uncorrectable Parity

Number of uncorrectable errors detected in SRAMs that are parity protected

SRAM Uncorrectable SEC-DED

Number of uncorrectable errors detected in SRAMs that are SEC-DED protected

Aggregate Uncorrectable SRAM Sources

Details about the sources of Aggregate uncorrectable SRAM errors

	SRAM L2		Errors that occurred in the L2 cache
	SRAM SM		Errors that occurred in the SM

SRAM Microcontroller

Errors that occurred in a microcontroller (PMU/GSP etc...)

	SRAM PCIE		Errors that occrred in any PCIE related unit
	SRAM Other		Errors occuring in anything else not covered above

If one of the repair flags is pending, check the GPU Recovery action and take the appropriate steps.
Channel Repair Pending

Indicates if a Channel repair is pending

TPC Repair Pending

Indicates if a TPC repair is pending

Unrepairable Memory

Indicates if there is unrepairable memory

Page Retirement

NVIDIA GPUs can retire pages of GPU device memory when they become unreliable. This can happen when multiple single bit ECC errors occur for the same page, or on a double bit ECC error. When a page is retired, the NVIDIA driver will hide it such that no driver, or application memory allocations can access it.

Double Bit ECC The number of GPU device memory pages that have been retired due to a double bit ECC error.

Single Bit ECC The number of GPU device memory pages that have been retired due to multiple single bit ECC errors.

Pending Checks if any GPU device memory pages are pending blacklist on the next reboot. Pages that are retired but not yet blacklisted can still be allocated, and may cause further reliability issues.

Row Remapper

NVIDIA GPUs can remap rows of GPU device memory when they become unreliable. This can happen when a single uncorrectable ECC error or multiple correctable ECC errors occur on the same row. When a row is remapped, the NVIDIA driver will remap the faulty row to a reserved row. All future accesses to the row will access the reserved row instead of the faulty row. This feature is available on Ampere+

Correctable Error The number of rows that have been remapped due to correctable ECC errors.

Uncorrectable Error The number of rows that have been remapped due to uncorrectable ECC errors.

Pending Indicates whether or not a row is pending remapping. The GPU must be reset for the remapping to go into effect.

Remapping Failure Occurred Indicates whether or not a row remapping has failed in the past.

Bank Remap Availability Histogram Each memory bank has a fixed number of reserved rows that can be used for row remapping. The histogram will classify the remap availability of each bank into Maximum, High, Partial, Low and None. Maximum availability means that all reserved rows are available for remapping while None means that no reserved rows are available. Correctable row remappings don’t count towards the availability histogram since row remappings due to correctable row remappings can be evicted by an uncorrectable row remapping.

Temperature

Readings from temperature sensors on the board. All readings are in degrees C. Not all products support all reading types. In particular, products in module form factors that rely on case fans or passive cooling do not usually provide temperature readings. See below for restrictions.

T.Limit: The T.Limit sensor measures the current margin in degree Celsius to the maximum operating temperature. As such it is not an absolute temperature reading rather a relative measurement.

Not all products support T.Limit sensor readings.

When supported, nvidia-smi reports the current T.Limit temperature as a signed value that counts down. A T.Limit temperature of 0 C or lower indicates that the GPU may optimize its clock based on thermal conditions. Further, when the T.Limit sensor is supported, available temperature thresholds are also reported relative to T.Limit (see below) instead of absolute measurements.
GPU Current Temp

Core GPU temperature. For all discrete and S-class products.

GPU T.Limit Temp

Current margin in degrees Celsius from the maximum GPU operating temperature.

GPU Shutdown Temp

The temperature at which a GPU will shutdown.

GPU Shutdown T.Limit Temp

The T.Limit temperature below which a GPU may shutdown. Since shutdown can only triggered by the maximum GPU temperature it is possible for the current T.Limit to be more negative than this threshold.

GPU Slowdown Temp

The temperature at which a GPU HW will begin optimizing clocks due to thermal conditions, in order to cool.

GPU Slowdown T.Limit Temp

The T.Limit temperature at or below which GPU HW may optimize its clocks for thermal conditions. Since this clock adjustment can only triggered by the maximum GPU temperature it is possible for the current T.Limit to be more negative than this threshold.

GPU Max Operating Temp

The temperature at which GPU SW will optimize its clock for thermal conditions.

GPU Max Operating T.Limit Temp

The T.Limit temperature below which GPU SW will optimize its clock for thermal conditions.

Memory Current Temp

Current temperature of GPU memory. Only available on supported devices.

Memory Max Operating Temp

The temperature at which GPU SW will optimize its memory clocks for thermal conditions. Only available on supported devices.

GPU Power Readings

Power readings help to shed light on the current power usage of the GPU, and the factors that affect that usage. When power management is enabled the GPU limits power draw under load to fit within a predefined power envelope by manipulating the current performance state. See below for limits of availability.
Average Power Draw

The average power draw for the entire board for the last second, in watts. Only supported on Ampere (except GA100) or newer devices.

Instantaneous Power Draw

The last measured power draw for the entire board, in watts.

Requested Power Limit

The power limit requested by software, in watts. Set by software such as nvidia-smi. Power Limit can be adjusted using -pl,--power-limit= switches.

Enforced Power Limit

The power management algorithm’s power ceiling, in watts. Total board power draw is manipulated by the power management algorithm such that it stays under this value. This limit is the minimum of various limits such as the software limit listed above.

Default Power Limit

The default power management algorithm’s power ceiling, in watts. Power Limit will be set back to Default Power Limit after driver unload.

Min Power Limit

The minimum value in watts that power limit can be set to.

Max Power Limit

The maximum value in watts that power limit can be set to.

Module Power Readings

Power readings help to shed light on the current power usage of the Module, and the factors that affect that usage. A module is GPU + supported NVIDIA CPU + other components which consume power. When power management is enabled, the Module limits power draw under load to fit within a predefined power envelope by manipulating the current performance state. Supported on Hopper and newer datacenter products.
Average Power Draw

The average power draw for the entire module for the last second, in watts.

Instantaneous Power Draw

The last measured power draw for the entire module, in watts.

Requested Power Limit

The power limit requested by software, in watts, for the whole module. Set by software such as nvidia-smi. Power Limit can be adjusted using -pl,--power-limit= switches with -s/--scope=1.

Enforced Power Limit

The power management algorithm’s power ceiling, in watts. Total module power draw is manipulated by the power management algorithm such that it stays under this value. This limit is the minimum of various limits such as the software limit listed above.

Default Power Limit

The default power management algorithm’s power ceiling, in watts. Module Power Limit will be set back to Default Power Limit after driver unload.

Min Power Limit

The minimum value in watts that module power limit can be set to.

Max Power Limit

The maximum value in watts that module power limit can be set to.

GPU Memory Power Readings

Information about GPU memory power consumption.
Average Power Draw

The average power draw for the GPU memory subsystem over the last second, in watts.

Instantaneous Power Draw

The last measured power draw for the GPU memory subsystem, in watts.

Power Smoothing

Power Smoothing related definitions and currently set values. This feature allows users to tune power parameters to minimize power fluctuations in large datacenter environments.

Enabled

Value is "Yes" if the feature is enabled and "No" if the feature is not enabled.

Delayed Power Smoothing Supported

Value is "Yes" if the Delayed Power Smoothing feature is supported and "No" if the feature is not supported.

Privilege Level

The current privilege for the user. Value is 0, 1 or 2. Note that the higher the privilege level, the more information the user will have access to.

Immediate Ramp Down

Values are "Enabled" or "Disabled". Indicates if ramp down hysteresis value will be honored (when enabled) or ignored (when disabled).

Current TMP

The last read value of the Total Module Power, in watts.

Current TMP FLoor

The last read value of the Total Module Power floor, in watts.

Max % TMP Floor

The highest percentage value for which the Percent TMP Floor can be set.

Min % TMP Floor

The lowest percentage value for which the Percent TMP Floor can be set.

HW Lifetime % Remaining

As this feature is used, the circuitry which drives the feature wears down. This value gives the percentage of the remaining lifetime of this hardware.

Current Primary Power Floor

The current value of the primary power floor, in watts. This value is calculated by doing TMP Ceiling * (% TMP FLoor value).

Current Secondary Power Floor

The current value of the secondary power floor, in watts. This is the power floor that is applied during active workload periods on the GPU when primary floor activation window multiplier is set to a non-zero value.

Min Primary Floor Activation Offset

This is the minimum primary floor activation offset accepted by the driver specified in watts. This is a static field.

Min Primary Floor Activation Point

This is the minimum absolute raw value specified in watts that the driver will use for switching between primary and secondary floor. This point is calculated as ’secondary power floor + primary floor activation offset’, and then computed value is floored to ’min primary floor activation point’ by the driver at run time. This value is used to avoid setting of switch point too low accidentally.

Window Multiplier

This is the multiplier unit specified in ms for other multipliers in the profile (primary floor activation window multiplier and primary floor target window multiplier). This is a static field.

Number of Preset Profiles

This value is the total number of Preset Profiles supported.

Current Profile

Values for the currently acvive power smoothing preset profile.
**% TMP Floor**

The percentage of the TMP Ceiling, which is used to set the TMP floor, for the currently active preset profile. For example, if max TMP is 1000 W, and the % TMP floor is 50%, then the min TMP value will be 500 W. This value is in the range [Min % TMP Floor, Max % TMP Floor].

	Ramp Up Rate		The ramp up rate, measured in mW/s, for the currently active preset profile.
	Ramp Down Rate		The ramp down rate, measured in mW/s, for the currently active preset profile.

Ramp Down Hysteresis

The ramp down hysteresis value, in ms, for the currently active preset profile.

Secondary Power Floor

The secondary power floor, measured in watts, for the currently active preset profile. This is the power floor that will be applied during active workload periods on the GPU when primary floor activation window multiplier is set to a non-zero value.

Primary Floor Activation Window Multiplier

The time multiplier for the activation moving average window size for the currently active preset profile. This is the ’X’ ms time multiplier for the activation moving average window size. The activation moving average is compared against the (secondary floor + primary floor activation offset value) to determine if the controller should switch from the secondary floor to the primary floor. Setting this to 0 will disable switching to the secondary floor.

Primary Floor Target Window Multiplier

The time multiplier for the target moving average window size for the currently active preset profile. This is the ’X’ ms time multiplier for the target moving average window size. When set to non-zero value, the target moving average power determines the primary floor. When set to 0, driver will use the Floor percentage instead to derive the primary floor.

Primary Floor Activation Offset

The primary Floor Activation Offset, measured in watts, for the currently active preset profile. If the target moving average falls below the secondary floor plus this offset, the primary floor will be activated.

Active Preset Profile Number

The number of the active preset profile.

Admin Overrides

Admin overrides allow users with sufficient permissions to preempt the values of the currently active preset profile. If an admin override is set for one of the fields, then this value will be used instead of any other configured value.
**% TMP Floor**

The admin override value for % TMP Floor. This value is in the range [Min % TMP Floor, Max % TMP Floor].

	Ramp Up Rate		The admin override value for ramp up rate, measured in mW/s.
	Ramp Down Rate		The admin override value for ramp down rate, measured in mW/s.

Ramp Down Hysteresis

The admin override value for ramp down hysteresis value, in ms.

Secondary Power Floor

The admin override value for secondary power floor, measured in watts. This is the power floor that will be applied during active workload periods on the GPU when primary floor activation window multiplier is set to a non-zero value.

Primary Floor Activation Window Multiplier

The admin override value for primary time multiplier for the activation moving average window size. This is the ’X’ ms time multiplier for the activation moving average window size. The activation moving average is compared against the (secondary floor + primary floor activation offset value) to determine if the controller should switch from the secondary floor to the primary floor. Setting this to 0 will disable switching to the secondary floor.

Primary Floor Target Window Multiplier

The admin override value for primary time multiplier for the target moving average window size. This is the ’X’ ms time multiplier for the target moving average window size. When set to non-zero value, the target moving average power determines the primary floor. When set to 0, driver will use the Floor percentage instead to derive the primary floor.

Primary Floor Activation Offset

The admin override value for primary Floor Activation Offset, measured in watts. If the target moving average falls below the secondary floor plus this offset, the primary floor will be activated.

Workload Power Profiles

Pre-tuned GPU profiles help to provide immediate, optimized configurations for Datacenter use cases. This sections includes information about the currently requested on enfornced power profiles.
Requested Profiles

The list of user requested profiles.

Enforced Profiles

Since many of the profiles have conflicting goals, some configurations of requested profiles are incompatible. This is the list of the requested profiles which are currently enforced.

EDPp Multiplier

The EDPp multiplier expressed as a percentage. This feature is meant for system administrators and cannot be configured via NVML or nvidia-smi.

Clocks

Current frequency at which parts of the GPU are running. All readings are in MHz. Note that it is possible for clocks to report a lower freqency than the lowest frequency that can be set by SW due to HW optimizations in certain scenarios.

	Graphics		Current frequency of graphics (shader) clock.
	SM		Current frequency of SM (Streaming Multiprocessor) clock.
	Memory		Current frequency of memory clock.
	Video		Current frequency of video (encoder + decoder) clocks.

Applications Clocks

Applications Clocks will be removed in a future CUDA release. Please use -lmc/-lgc for locking memory/graphics clocks and -rmc/-rgc to reset memory/graphcis clocks. User specified frequency at which applications will be running at. Can be changed with [-ac \| --applications-clocks] switches.

	Graphics		User specified frequency of graphics (shader) clock.
	Memory		User specified frequency of memory clock.

Default Applications Clocks

Default frequency at which applications will be running at. Application clocks can be changed with [-ac \| --applications-clocks] switches. Application clocks can be set to default using [-rac \| --reset-applications-clocks] switches.

	Graphics		Default frequency of applications graphics (shader) clock.
	Memory		Default frequency of applications memory clock.

Deferred Clocks

Deferred clocks are clocks that will be applied after the next driver
load. Memory

The Memory Clock value in MHz that takes effect the next time the GPU is initialized. This can be guaranteed by unloading and reloading the kernel module.

Max Clocks

Maximum frequency at which parts of the GPU are design to run. All readings are in MHz. Current P0 clocks (reported in Clocks section) can differ from max clocks by few MHz.

	Graphics		Maximum frequency of graphics (shader) clock.
	SM		Maximum frequency of SM (Streaming Multiprocessor) clock.
	Memory		Maximum frequency of memory clock.
	Video		Maximum frequency of video (encoder + decoder) clock.

Max Customer Boost Clocks

Maximum customer boost frequency at which parts of the GPU are designed to run. All readings are in MHz.

Graphics

Maximum customer boost frequency of graphics (shader) clock.

Clock Policy

User-specified settings for automated clocking changes such as auto boost.

Auto Boost

Indicates whether auto boost mode is currently enabled for this GPU (On) or disabled for this GPU (Off). Shows (N/A) if boost is not supported. Auto boost allows dynamic GPU clocking based on power, thermal and utilization. When auto boost is disabled the GPU will attempt to maintain clocks at precisely the Current Application Clocks settings (whenever a CUDA context is active). With auto boost enabled the GPU will still attempt to maintain this floor, but will opportunistically boost to higher clocks when power, thermal and utilization headroom allow. This setting persists for the life of the CUDA context for which it was requested. Apps can request a particular mode either via an NVML call (see NVML SDK) or by setting the CUDA environment variable CUDA_AUTO_BOOST. This feature is deprecated and will be removed in a future CUDA release.

Auto Boost Default

Indicates the default setting for auto boost mode, either enabled (On) or disabled (Off). Shows (N/A) if boost is not supported. Apps will run in the default mode if they have not explicitly requested a particular mode. Note: Auto Boost settings can only be modified if "Persistence Mode" is enabled, which is NOT by default. This feature is deprecated and will be removed in a future CUDA release.

Fabric

GPU Fabric information

State

Indicates the state of the GPU’s handshake with the nvidia-fabricmanager (a.k.a. GPU fabric probe)
Possible values: Completed, In Progress, Not Started, Not supported

Status

Status of the GPU fabric probe response from the nvidia-fabricmanager.
Possible values: NVML_SUCCESS or one of the failure codes.

Clique ID

A clique is a set of GPUs that can communicate to each other over NVLink.
The GPUs belonging to the same clique share the same clique ID.
Clique ID will only be valid for NVLink multi-node systems.

Cluster UUID

UUID of an NVLink multi-node cluster to which this GPU belongs.
Cluster UUID will be zero for NVLink single-node systems.

Health

Summary - Summary of Fabric Health <Healthy, Unhealthy, Limited Capacity>
Bandwidth - is the GPU NVLink bandwidth degraded <Degraded/Full>
Route Recovery in progress - is NVLink route recovery in progress <True/False>
Route Unhealthy - is NVLink route recovery failed or aborted <True/False>
Access Timeout Recovery - is NVLink access timeout recovery in progress <True/False>
Incorrect Configuration - Incorrect Configuration status <Incorrect SystemGuid, Incorrect Chassis Serial Number, No Partition, Insufficient Nvlink Resources, Incompatible GPU Firmware, Invalid Location, GPU State Invalid, None>
Partition Assigned - is the GPU NVLink partition correctly assigned <True/False>

Processes

List of processes having Compute or Graphics Context on the device. Compute processes are reported on all the fully supported products. Reporting for Graphics processes is limited to the supported products starting with Kepler architecture.
Each Entry is of format "<GPU Index> <GI Index> <CI Index> <PID> <Type>
<Process Name> <GPU Memory Usage>"

GPU Index

Represents NVML Index of the device.

GPU Instance Index

Represents GPU Instance Index of the MIG device (if enabled).

Compute Instance Index

Represents Compute Instance Index of the MIG device (if enabled).

	PID		Represents Process ID corresponding to the active Compute or Graphics context.
	Type		Displayed as "C" for Compute Process, "G" for Graphics Process, "M" for MPS ("Multi-Process Service") Compute Process, and "C+G" or "M+C" for the process having both Compute and Graphics or MPS Compute and Compute contexts.
	Process Name		Represents process name for the Compute, MPS Compute, or Graphics process.

GPU Memory Usage

Amount of memory used by the GPU context, which represents FB memory usage for discrete GPUs or system memory usage for integrated GPUs. Not available on Windows when running in WDDM mode because Windows KMD manages all the memory not NVIDIA driver.

Device Monitoring

The "nvidia-smi dmon" command-line is used to monitor one or more GPUs (up to 16 devices) plugged into the system. This tool allows the user to see one line of monitoring data per monitoring cycle. The output is in concise format and easy to interpret in interactive mode. The output data per line is limited by the terminal size. It is supported on Tesla, GRID, Quadro and limited GeForce products for Kepler or newer GPUs under bare metal 64 bits Linux. By default, the monitoring data includes Power Usage, Temperature, SM clocks, Memory clocks and Utilization values for SM, Memory, Encoder, Decoder, JPEG and OFA. It can also be configured to report other metrics such as frame buffer memory usage, bar1 memory usage, power/thermal violations and aggregate single/double bit ecc errors. If any of the metric is not supported on the device or any other error in fetching the metric is reported as "-" in the output data. The user can also configure monitoring frequency and the number of monitoring iterations for each run. There is also an option to include date and time at each line. All the supported options are exclusive and can be used together in any order. Note: On MIG-enabled GPUs, querying the utilization of encoder, decoder, jpeg, ofa, gpu, and memory is not currently supported.

Usage:
1) Default with no arguments
nvidia-smi dmon
Monitors default metrics for up to 16 supported devices under natural
enumeration (starting with GPU index 0) at a frequency of 1 sec. Runs
until terminated with ˆC.
2) Select one or more devices
nvidia-smi dmon -i <device1,device2, .. , deviceN>
Reports default metrics for the devices selected by comma separated
device list. The tool picks up to 16 supported devices from the list
under natural enumeration (starting with GPU index 0).
3) Select metrics to be displayed
nvidia-smi dmon -s <metric_group>
<metric_group> can be one or more from the following:
p - Power Usage (in Watts) and GPU/Memory Temperature (in C) if
supported
u - Utilization (SM, Memory, Encoder, Decoder, JPEG and OFA Utilization
in %)
c - Proc and Mem Clocks (in MHz)
v - Power Violations (in %) and Thermal Violations (as a boolean flag)
m - Frame Buffer, Bar1 and Confidential Compute protected memory usage
(in MB)
e - ECC (Number of aggregated single bit, double bit ecc errors) and
PCIe Replay errors
t - PCIe Rx and Tx Throughput in MB/s (Maxwell and above)
4) Configure monitoring iterations
nvidia-smi dmon -c <number of samples>
Displays data for specified number of samples and exit.
5) Configure monitoring frequency
nvidia-smi dmon -d <time in secs>
Collects and displays data at every specified monitoring interval until
terminated with ˆC.
6) Display date
nvidia-smi dmon -o D
Prepends monitoring data with date in YYYYMMDD format.
7) Display time
nvidia-smi dmon -o T
Prepends monitoring data with time in HH:MM:SS format.
8) Select GPM metrics to be displayed
nvidia-smi dmon --gpm-metrics <gpmMetric1,gpmMetric2,...,gpmMetricN>
<gpmMetricX> Refer to the documentation for nvmlGpmMetricId_t in the
NVML header file
9) Select which level of GPM metrics to be displayed
nvidia-smi dmon --gpm-options <gpmMode>
<gpmMode> can be one of the following:
d - Display Device Level GPM metrics
m - Display MIG Level GPM metrics
dm - Display Device and MIG Level GPM metrics
md - Display Device and MIG Level GPM metrics, same as ’dm’
10) Modify output format
nvidia-smi dmon --format <formatSpecifier>
<formatSpecifier> can be any comma separated combination of the
following:
csv - Format dmon output as CSV
nounit - Remove unit line from dmon output
noheader - Remove header line from dmon output
11) Help Information
nvidia-smi dmon -h
Displays help information for using the command line.

Daemon (EXPERIMENTAL)

The "nvidia-smi daemon" starts a background process to monitor one or more GPUs plugged in to the system. It monitors the requested GPUs every monitoring cycle and logs the file in compressed format at the user provided path or the default location at /var/log/nvstats/. The log file is created with system’s date appended to it and of the format nvstats-YYYYMMDD. The flush operation to the log file is done every alternate monitoring cycle. Daemon also logs it’s own PID at /var/run/nvsmi.pid. By default, the monitoring data to persist includes Power Usage, Temperature, SM clocks, Memory clocks and Utilization values for SM, Memory, Encoder, Decoder, JPEG and OFA. The daemon tools can also be configured to record other metrics such as frame buffer memory usage, bar1 memory usage, power/thermal violations and aggregate single/double bit ecc errors.The default monitoring cycle is set to 10 secs and can be configured via command-line. It is supported on Tesla, GRID, Quadro and GeForce products for Kepler or newer GPUs under bare metal 64 bits Linux. The daemon requires root privileges to run, and only supports running a single instance on the system. All of the supported options are exclusive and can be used together in any order. Note: On MIG-enabled GPUs, querying the utilization of encoder, decoder, jpeg, ofa, gpu, and memory is not currently supported. Usage:
1) Default with no arguments
nvidia-smi daemon
Runs in the background to monitor default metrics for up to 16
supported devices under natural enumeration (starting with GPU index 0)
at a frequency of 10 sec. The date stamped log file is created at
/var/log/nvstats/.
2) Select one or more devices
nvidia-smi daemon -i <device1,device2, .. , deviceN>
Runs in the background to monitor default metrics for the devices
selected by comma separated device list. The tool picks up to 16
supported devices from the list under natural enumeration (starting
with GPU index 0).
3) Select metrics to be monitored
nvidia-smi daemon -s <metric_group>
<metric_group> can be one or more from the following:
p - Power Usage (in Watts) and GPU/Memory Temperature (in C) if
supported
u - Utilization (SM, Memory, Encoder, Decoder, JPEG and OFA Utilization
in %)
c - Proc and Mem Clocks (in MHz)
v - Power Violations (in %) and Thermal Violations (as a boolean flag)
m - Frame Buffer, Bar1 and Confidential Compute protected memory usage
(in MB)
e - ECC (Number of aggregated single bit, double bit ecc errors) and
PCIe Replay errors
t - PCIe Rx and Tx Throughput in MB/s (Maxwell and above)
4) Configure monitoring frequency
nvidia-smi daemon -d <time in secs>
Collects data at every specified monitoring interval until terminated.
5) Configure log directory
nvidia-smi daemon -p <path of directory>
The log files are created at the specified directory.
6) Configure log file name
nvidia-smi daemon -j <string to append log file name>
The command-line is used to append the log file name with the user
provided string.
7) Terminate the daemon
nvidia-smi daemon -t
This command-line uses the stored PID (at /var/run/nvsmi.pid) to
terminate the daemon. It makes the best effort to stop the daemon and
offers no guarantees for it’s termination. In case the daemon is not
terminated, then the user can manually terminate by sending kill signal
to the daemon. Performing a GPU reset operation (via nvidia-smi)
requires all GPU processes to be exited, including the daemon. Users
who have the daemon open will see an error to the effect that the GPU
is busy.
8) Help Information
nvidia-smi daemon -h
Displays help information for using the command line.

Replay Mode (EXPERIMENTAL)

The "nvidia-smi replay" command-line is used to extract/replay all or parts of log file generated by the daemon. By default, the tool tries to pull the metrics such as Power Usage, Temperature, SM clocks, Memory clocks and Utilization values for SM, Memory, Encoder, Decoder, JPEG and OFA. The replay tool can also fetch other metrics such as frame buffer memory usage, bar1 memory usage, power/thermal violations and aggregate single/double bit ecc errors. There is an option to select a set of metrics to replay, If any of the requested metric is not maintained or logged as not-supported then it’s shown as "-" in the output. The format of data produced by this mode is such that the user is running the device monitoring utility interactively. The command line requires mandatory option "-f" to specify complete path of the log filename, all the other supported options are exclusive and can be used together in any order. Note: On MIG-enabled GPUs, querying the utilization of encoder, decoder, jpeg, ofa, gpu, and memory is not currently supported. Usage:
1) Specify log file to be replayed
nvidia-smi replay -f <log file name>
Fetches monitoring data from the compressed log file and allows the
user to see one line of monitoring data (default metrics with
time-stamp) for each monitoring iteration stored in the log file. A new
line of monitoring data is replayed every other second irrespective of
the actual monitoring frequency maintained at the time of collection.
It is displayed till the end of file or until terminated by ˆC.
2) Filter metrics to be replayed
nvidia-smi replay -f <path to log file> -s <metric_group>
<metric_group> can be one or more from the following:
p - Power Usage (in Watts) and GPU/Memory Temperature (in C) if
supported
u - Utilization (SM, Memory, Encoder, Decoder, JPEG and OFA Utilization
in %)
c - Proc and Mem Clocks (in MHz)
v - Power Violations (in %) and Thermal Violations (as a boolean flag)
m - Frame Buffer, Bar1 and Confidential Compute protected memory usage
(in MB)
e - ECC (Number of aggregated single bit, double bit ecc errors) and
PCIe Replay errors
t - PCIe Rx and Tx Throughput in MB/s (Maxwell and above)
3) Limit replay to one or more devices
nvidia-smi replay -f <log file> -i <device1,device2, .. , deviceN>
Limits reporting of the metrics to the set of devices selected by comma
separated device list. The tool skips any of the devices not maintained
in the log file.
4) Restrict the time frame between which data is reported
nvidia-smi replay -f <log file> -b <start time in HH:MM:SS format> -e
<end time in HH:MM:SS format>
This option allows the data to be limited between the specified time
range. Specifying time as 0 with -b or -e option implies start or end
file respectively.
5) Redirect replay information to a log file
nvidia-smi replay -f <log file> -r <output file name>
This option takes log file as an input and extracts the information
related to default metrics in the specified output file.
6) Help Information
nvidia-smi replay -h
Displays help information for using the command line.

Process Monitoring

The "nvidia-smi pmon" command-line is used to monitor compute and graphics processes running on one or more GPUs (up to 16 devices) plugged into the system. This tool allows the user to see the statistics for all the running processes on each device at every monitoring cycle. The output is in concise format and easy to interpret in interactive mode. The output data per line is limited by the terminal size. It is supported on Tesla, GRID, Quadro and limited GeForce products for Kepler or newer GPUs under bare metal 64 bits Linux. By default, the monitoring data for each process includes the pid, command name and average utilization values for SM, Memory, Encoder and Decoder since the last monitoring cycle. It can also be configured to report frame buffer memory usage for each process. If there is no process running for the device, then all the metrics are reported as "-" for the device. If any of the metric is not supported on the device or any other error in fetching the metric is also reported as "-" in the output data. The user can also configure monitoring frequency and the number of monitoring iterations for each run. There is also an option to include date and time at each line. All the supported options are exclusive and can be used together in any order. Note: On MIG-enabled GPUs, querying the utilization of encoder, decoder, jpeg, ofa, gpu, and memory is not currently supported.

Usage:
1) Default with no arguments
nvidia-smi pmon
Monitors all the processes running on each device for up to 16
supported devices under natural enumeration (starting with GPU index 0)
at a frequency of 1 sec. Runs until terminated with ˆC.
2) Select one or more devices
nvidia-smi pmon -i <device1,device2, .. , deviceN>
Reports statistics for all the processes running on the devices
selected by comma separated device list. The tool picks up to 16
supported devices from the list under natural enumeration (starting
with GPU index 0).
3) Select metrics to be displayed
nvidia-smi pmon -s <metric_group>
<metric_group> can be one or more from the following:
u - Utilization (SM, Memory, Encoder, Decoder, JPEG, and OFA
Utilization for the process in %). Reports average utilization since
last monitoring cycle.
m - Frame Buffer and Confidential Compute protected memory usage (in
MB). Reports instantaneous value for memory usage.
4) Configure monitoring iterations
nvidia-smi pmon -c <number of samples>
Displays data for specified number of samples and exit.
5) Configure monitoring frequency
nvidia-smi pmon -d <time in secs>
Collects and displays data at every specified monitoring interval until
terminated with ˆC. The monitoring frequency must be between 1 to 10
secs.
6) Display date
nvidia-smi pmon -o D
Prepends monitoring data with date in YYYYMMDD format.
7) Display time
nvidia-smi pmon -o T
Prepends monitoring data with time in HH:MM:SS format.
8) Help Information
nvidia-smi pmon -h
Displays help information for using the command line.

Topology

List topology information about the system’s GPUs, how they connect to each other, their CPU and memory affinities as well as qualified NICs capable of RDMA.

Note: On some systems, a NIC is used as a PCI bridge for the NVLINK switches and is not useful from a networking or RDMA point of view. The nvidia-smi topo command will filter the NIC’s ports/PCIe sub-functions out of the topology matrix by examining the NIC’s sysfs entries. On some kernel versions, nvidia-smi requires root privileges to read these sysfs entries.

Usage:

Topology connections and affinities matrix between the GPUs and NICs in
the system
nvidia-smi topo -m
Displays a matrix of connections between all GPUs and NICs(including
their data-direct devices if applicable) in the system along with
CPU/memory affinities for the GPUs with the following legend:

Legend:
X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe switches (without traversing the PCIe Host Bridge)
PIX = Connection traversing a single PCIe switch NV# = Connection traversing a bonded set of # NVLinks
Note: This command may also display bonded NICs which may not be RDMA
capable.
nvidia-smi topo -mp
Displays a matrix of PCI-only connections between all GPUs and NICs in
the system along with CPU/memory affinities for the GPUs with the same
legend as the ’nvidia-smi topo -m’ command. This command excludes
NVLINK connections and shows PCI connections between GPUs.
nvidia-smi topo -c <CPU number>
Shows all the GPUs with an affinity to the specified CPU number.
nvidia-smi topo -n <traversal_path> -i <deviceID>

Shows all the GPUs connected with the given GPU using the specified traversal path. The traversal path values are:
0 = A single PCIe switch on a dual GPU board
1 = A single PCIe switch
2 = Multiple PCIe switches
3 = A PCIe host bridge
4 = An on-CPU interconnect link between PCIe host bridges
5 = An SMP interconnect link between NUMA nodes
nvidia-smi topo -p -i <deviceID1>,<deviceID2>
Shows the most direct PCIe path traversal for a given pair of GPUs.
nvidia-smi topo -p2p <capability>

Shows the P2P status between all GPUs, given a capability. Capability values are:
r - p2p read capability
w - p2p write capability
n - p2p nvlink capability
a - p2p atomics capability
p - p2p pcie capability
nvidia-smi topo -C -i <deviceID>
Shows the NUMA ID of the nearest CPU for a GPU represented by the
device ID.
nvidia-smi topo -M -i <deviceID>
Shows the NUMA ID of the nearest memory for a GPU represented by the
device ID.
nvidia-smi topo -gnid -i <deviceID>
Shows the NUMA ID of the GPU represented by the device ID, if
applicable. Displays N/A otherwise.
nvidia-smi topo -nvme

Displays a matrix of PCI connections between all GPUs and NVME devices in the system with the following legend:

Nvlink

The "nvidia-smi nvlink" command-line is used to manage the GPU’s Nvlinks. It provides options to set and query Nvlink information.

Usage:
1) Display help menu
nvidia-smi nvlink -h
Displays help menu for using the command-line.
2) List one or more GPUs
nvidia-smi nvlink -i <GPU IDs>
nvidia-smi nvlink --id <GPU IDs>
Selects one or more GPUs using the given comma-separated GPU indexes,
PCI bus IDs or UUIDs. If not used, the given command-line option
applies to all of the supported GPUs.
3) Select a specific NvLink
nvidia-smi nvlink -l <GPU Nvlink Id>
nvidia-smi nvlink --list <GPU Nvlink Id>
Selects a specific Nvlink of the GPU for the given command, if valid.
If not used, the given command-line option allies to all of the GPU’s
Nvlinks.
4) Query Nvlink Status
nvidia-smi nvlink -s
nvidia-smi nvlink --status
Get the status of the GPU’s Nvlinks.
If Active, the Bandwidth of the links will be displayed.
If the link is present but Not Active, it will show the link as
Inactive.
If the link is in Sleep state, it will show as Sleep.
5) Query Nvlink capabilities
nvidia-smi nvlink -c
nvidia-smi nvlink --capabilities
Get the GPU’s Nvlink capabilities.
6) Query the Nvlink’s remote node PCI bus
nvidia-smi nvlink -p
nvidia-smi nvlink -pcibusid
Get the Nvlink’s remote node PCI bus ID.
7) Query the Nvlink’s remote link info
nvidia-smi nvlink -R
nvidia-smi nvlink -remotelinkinfo
Get the remote device PCI bus ID and NvLink ID for a link.
8) Set Nvlink Counter Control is DEPRECATED
9) Get Nvlink Counter Control is DEPRECATED
10) Get Nvlink Counters is DEPRECATED, -gt/--getthroughput should be
used instead
11) Reset Nvlink counters is DEPRECATED
12) Query Nvlink Error Counters
nvidia-smi nvlink -e
nvidia-smi nvlink --errorcounters
Get the Nvlink error counters.

For NVLink 4

Replay Errors - count the number of replay ’events’ that occurred
Recovery Errors - count the number of link recovery events
CRC Errors - count the number of CRC errors in received packets

For NVLink 5

Tx packets - Total Tx packets on the link
Tx bytes - Total Tx bytes on the link
Rx packets - Total Rx packets on the link
Rx bytes - Total Rx bytes on the link
Malformed packet Errors - Number of packets Rx on a link where packets
are malformed
Buffer overrun Errors - Number of packets that were discarded on Rx due
to buffer overrun
Rx Errors - Total number of packets with errors Rx on a link
Rx remote Errors - Total number of packets Rx - stomp/EBP marker
Rx General Errors - Total number of packets Rx with header mismatch
Local link integrity Errors - Total number of times that the count of
local errors exceeded a threshold
Tx discards - Total number of tx error packets that were discarded
Link recovery successful events - Number of times link went from Up to
recovery, succeeded and link came back up
Link recovery failed events - Number of times link went from Up to
recovery, failed and link was declared down
Total link recovery events - Number of times link went from Up to
recovery, irrespective of the result
Effective Errors - Sum of the number of errors in each Nvlink packet
Effective BER - BER for symbol errors
Symbol Errors - Number of errors in rx symbols
Symbol BER - BER for symbol errors
FEC Errors - [0-15] - count of symbol errors that are corrected
Raw Errors Lane 0 - Number of raw errors for Lane 0
Raw Errors Lane 1 - Number of raw errors for Lane 1
Raw BER Lane 0 - Number of raw BER for Lane 0
Raw BER Lane 1 - Number of raw BER for Lane 1
Raw BER Total - Total number of raw BER
PLR Xmit Blocks - Number of PLR Xmit Blocks

PLR Xmit Retry Blocks - Number of PLR Xmit Retry Blocks
13) Query Nvlink CRC error counters
nvidia-smi nvlink -ec
nvidia-smi nvlink --crcerrorcounters
Get the Nvlink per-lane CRC/ECC error counters.
CRC - NVLink 4 and before - Total Rx CRC errors on an NVLink Lane
ECC - NVLink 4 - Total Rx ECC errors on an NVLink Lane
Deprecated NVLink 5 onwards
14) Reset Nvlink Error Counters
nvidia-smi nvlink -re
nvidia-smi nvlink --reseterrorcounters
Reset all Nvlink error counters to zero.
NvLink 5 NOT SUPPORTED
15) Query Nvlink throughput counters
nvidia-smi nvlink -gt <Data Type>
nvidia-smi nvlink --getthroughput <Data Type>
<Data Type> can be one of the following:
d - Tx and Rx data payload in KiB.
r - Tx and Rx raw payload and protocol overhead in KiB.
16) Set Nvlink Low Power thresholds
nvidia-smi nvlink -sLowPwrThres <Threshold>
nvidia-smi nvlink --setLowPowerThreshold <Threshold>
Set the Nvlink Low Power Threshold, before the links go into Low Power
Mode.
Threshold ranges and units can be found using -gLowPwrInfo.
17) Get Nvlink Low Power Info
nvidia-smi nvlink -gLowPwrInfo
nvidia-smi nvlink --getLowPowerInfo
Query the Nvlink’s Low Power Info.
18) Set Nvlink Bandwidth mode
nvidia-smi nvlink -sBwMode <Bandwidth Mode>
nvidia-smi nvlink --setBandwidthMode <Bandwidth Mode>
Set the Nvlink Bandwidth mode for all GPUs. This is DEPRECATED for
Blackwell+.
The options are:
FULL - All links are at max Bandwidth.
OFF - Bandwidth is not used. P2P is via PCIe bus.
MIN - Bandwidth is at minimum speed.
HALF - Bandwidth is at around half of FULL speed.
3QUARTER - Bandwidth is at around 75% of FULL speed.
19) Get Nvlink Bandwidth mode
nvidia-smi nvlink -gBwMode
nvidia-smi nvlink --getBandwidthMode
Get the Nvlink Bandwidth mode for all GPUs. THis is DEPRECATED for
Blackwell+.
20) Query for Nvlink Bridge
nvidia-smi nvlink -cBridge
nvidia-smi nvlink --checkBridge
Query for Nvlink Bridge presence.
21) Set the GPU’s Nvlink Width
nvidia-smi nvlink -sLWidth <Link Width>
nvidia-smi nvlink --setLinkWidth <Link Width>
Set the GPU’s Nvlink width, which will be keep those number of links
Active, and the rest to sleep.
<Link Width> can be one of the following:
values - List possible Link Widths to be set.
The numerical value from the above option.
22) Get the GPU’s Nvlink Width
nvidia-smi nvlink -gLWidth
nvidia-smi nvlink --getLinkWidth
Query the GPU’s Nvlink Width.
23) Get the GPU’s Nvlink Device Information
nvidia-smi nvlink -info
nvidia-smi nvlink --info
Query the GPU’s Nvlink device information.

C2C

The "nvidia-smi c2c" command-line is used to manage the GPU’s C2C Links. It provides options to query C2C Link information.

Usage:
1) Display help menu
nvidia-smi c2c -h
Displays help menu for using the command-line.
2) List one or more GPUs
nvidia-smi c2c -i <GPU IDs>
nvidia-smi c2c --id <GPU IDs>
Selects one or more GPUs using the given comma-separated GPU indexes,
PCI bus IDs or UUIDs. If not used, the given command-line option
applies to all of the supported GPUs.
3) Select a specific C2C Link
nvidia-smi c2c -l <GPU C2C Id>
nvidia-smi c2c --list <GPU C2C Id>
Selects a specific C2C Link of the GPU for the given command, if valid.
If not used, the given command-line option allies to all of the GPU’s
C2C Links.
4) Query C2C Link Status
nvidia-smi c2c -s
nvidia-smi c2c --status
Get the status of the GPU’s C2C Links. If active, the Bandwidth of the
links will be displayed.
5) Query C2C Link Error Counters
nvidia-smi c2c -e
nvidia-smi c2c -errorCounters
Display the C2C Link error counters.
6) Query C2C Link Power Info
nvidia-smi c2c -gLowPwrInfo
nvidia-smi c2c -getLowPowerInfo
Display the C2C Link Power state.

vGPU Management

The "nvidia-smi vgpu" command reports on GRID vGPUs executing on supported GPUs and hypervisors (refer to driver release notes for supported platforms). Summary reporting provides basic information about vGPUs currently executing on the system. Additional options provide detailed reporting of vGPU properties, per-vGPU reporting of SM, Memory, Encoder, Decoder, Jpeg, and OFA utilization, and per-GPU reporting of supported and creatable vGPUs. Periodic reports can be automatically generated by specifying a configurable loop frequency to any command. Note: On MIG-enabled GPUs, querying the utilization of encoder, decoder, jpeg, ofa, gpu, and memory is not currently supported.

Usage:
1) Help Information
nvidia-smi vgpu -h
Displays help information for using the command line.
2) Default with no arguments
nvidia-smi vgpu
Reports summary of all the vGPUs currently active on each device.
3) Display detailed info on currently active vGPUs
nvidia-smi vgpu -q
Collects and displays information on currently active vGPUs on each
device, including driver version, utilization, and other information.
4) Select one or more devices
nvidia-smi vgpu -i <device1,device2, .. , deviceN>
Reports summary for all the vGPUs currently active on the devices
selected by comma-separated device list.
5) Display supported vGPUs
nvidia-smi vgpu -s
Displays vGPU types supported on each device. Use the -v / --verbose
option to show detailed info on each vGPU type.
6) Display creatable vGPUs
nvidia-smi vgpu -c
Displays vGPU types creatable on each device. This varies dynamically,
depending on the vGPUs already active on the device. Use the -v /
--verbose option to show detailed info on each vGPU type.
7) Report utilization for currently active vGPUs.
nvidia-smi vgpu -u
Reports average utilization (SM, Memory, Encoder, Decoder, Jpeg, and
OFA) for each active vGPU since last monitoring cycle. The default
cycle time is 1 second, and the command runs until terminated with ˆC.
If a device has no active vGPUs, its metrics are reported as "-".
8) Configure loop frequency
nvidia-smi vgpu [-s -c -q -u] -l <time in secs>
Collects and displays data at a specified loop interval until
terminated with ˆC. The loop frequency must be between 1 and 10 secs.
When no time is specified, the loop frequency defaults to 5 secs.
9) Display GPU engine usage
nvidia-smi vgpu -p
Display GPU engine usage of currently active processes running in the
vGPU VMs.
10) Display migration capabitlities.
nvidia-smi vgpu -m
Display pGPU’s migration/suspend/resume capability.
11) Display the vGPU Software scheduler state.
nvidia-smi vgpu -ss
Display the information about vGPU Software scheduler state.
12) Display the vGPU Software scheduler capabilities.
nvidia-smi vgpu -sc
Display the list of supported vGPU scheduler policies returned along
with the other capabilities values, if the engine is Graphics type. For
other engine types, it is BEST EFFORT policy and other capabilities
will be zero. If ARR is supported and enabled, scheduling frequency and
averaging factor are applicable else timeSlice is applicable.
13) Display the vGPU Software scheduler logs.
nvidia-smi vgpu -sl
Display the vGPU Software scheduler runlist logs.
nvidia-smi --query-vgpu-scheduler-logs=[input parameters]
Display the vGPU Software scheduler runlist logs in CSV format.
14) Set the vGPU Software scheduler state.
nvidia-smi vgpu --set-vgpu-scheduler-state [options]
Set the vGPU Software scheduler policy and states.
15) Display NVIDIA Encoder session info.
nvidia-smi vgpu -es
Display the information about encoder sessions for currently running
vGPUs.
16) Display accounting statistics.
nvidia-smi vgpu --query-accounted-apps=[input parameters]
Display accounting stats for compute/graphics processes.
To find the list of properties which can be queried, run - ’nvidia-smi
--help-query-accounted-apps’.
17) Display NVIDIA Frame Buffer Capture session info.
nvidia-smi vgpu -fs
Display the information about FBC sessions for currently running vGPUs.
Note : Horizontal resolution, vertical resolution, average FPS and
average latency data for a FBC session may be zero if there are no new
frames captured since the session started.
18) Set vGPU heterogeneous mode.
nvidia-smi vgpu -shm
Set vGPU heterogeneous mode of the device for timesliced vGPUs with
different framebuffer sizes.
19) Set vGPU MIG timeslice mode.
nvidia-smi vgpu -smts
Set vGPU MIG timeslice mode of the device.
20) Display the currently creatable vGPU types on the user provided GPU
Instance
nvidia-smi vgpu -c -gi <GPU instance IDs> -i <GPU IDs>
nvidia-smi vgpu -c --gpu-instance-id <GPU instance IDs> --id <GPU IDs>
Provide comma separated values for more than one GPU instance. The
target GPU index (MANDATORY) for the given GPU instance.
21) Display detailed information of the currently active vGPU instances
on the user provided GPU Instance
nvidia-smi vgpu -q -gi <GPU instance IDs> -i <GPU IDs>
nvidia-smi vgpu -q --gpu-instance-id <GPU instance IDs> --id <GPU IDs>
Provide comma separated values for more than one GPU instance. The
target GPU index (MANDATORY) for the given GPU instance.
22) Display the vGPU scheduler state on the user provided GPU Instance
nvidia-smi vgpu -ss -gi <GPU instance IDs> -i <GPU IDs>
nvidia-smi vgpu -ss --gpu-instance-id <GPU instance IDs> --id <GPU IDs>
Provide comma separated values for more than one GPU instance. The
target GPU index (MANDATORY) for the given GPU instance.
23) Get the vGPU heterogeneous mode on the user provided GPU Instance
nvidia-smi vgpu -ghm -gi <GPU instance IDs> -i <GPU IDs>
nvidia-smi vgpu -ghm --gpu-instance-id <GPU instance IDs> --id <GPU
IDs>
Provide comma separated values for more than one GPU instance. The
target GPU index (MANDATORY) for the given GPU instance. If not used,
the given command-line option applies to all of the GPU instances.
24) Set the vGPU heterogeneous mode on the user provided GPU Instance
nvidia-smi vgpu -shm -gi <GPU instance IDs> -i <GPU IDs>
nvidia-smi vgpu -shm --gpu-instance-id <GPU instance IDs> --id <GPU
IDs>
Provide comma separated values for more than one GPU instance. The
target GPU index (MANDATORY) for the given GPU instance.
25) Set the vGPU Software scheduler state on the user provided GPU
Instance.
nvidia-smi vgpu set-vgpu-scheduler-state [options] -gi <GPU instance
IDs> -i <GPU IDs>
nvidia-smi vgpu set-vgpu-scheduler-state [options] --gpu-instance-id
<GPU instance IDs> --id <GPU IDs>
Provide comma separated values for more than one GPU instance. The
target GPU index (MANDATORY) for the given GPU instance.
26) Display the vGPU scheduler logs on the user provided GPU Instance
nvidia-smi vgpu -sl -gi <GPU instance IDs> -i <GPU IDs>
nvidia-smi vgpu -sl --gpu-instance-id <GPU instance IDs> --id <GPU IDs>
Provide comma separated values for more than one GPU instance. The
target GPU index (MANDATORY) for the given GPU instance.
nvidia-smi vgpu --query-gpu-instance-vgpu-scheduler-logs=[input
parameters] -gi <GPU instance IDs> -i <GPU IDs>
Display the vGPU Software scheduler logs in CSV format on the user
provided GPU Instance.
27) Display detailed information of the currently creatable vGPU types
on the user provided GPU Instance
nvidia-smi vgpu -c -v -gi <GPU instance IDs> -i <GPU IDs>
nvidia-smi vgpu -c -v --gpu-instance-id <GPU instance IDs> --id <GPU
IDs>
Provide comma separated values for more than one GPU instance. The
target GPU index (MANDATORY) for the given GPU instance.

MIG Management

The privileged "nvidia-smi mig" command-line is used to manage MIG-enabled GPUs. It provides options to create, list and destroy GPU instances and compute instances.

Usage:
1) Display help menu
nvidia-smi mig -h
Displays help menu for using the command-line.
2) Select one or more GPUs
nvidia-smi mig -i <GPU IDs>
nvidia-smi mig --id <GPU IDs>
Selects one or more GPUs using the given comma-separated GPU indexes,
PCI bus IDs or UUIDs. If not used, the given command-line option
applies to all of the supported GPUs.
3) Select one or more GPU instances
nvidia-smi mig -gi <GPU instance IDs>
nvidia-smi mig --gpu-instance-id <GPU instance IDs>
Selects one or more GPU instances using the given comma-separated GPU
instance IDs. If not used, the given command-line option applies to all
of the GPU instances.
4) Select one or more compute instances
nvidia-smi mig -ci <compute instance IDs>
nvidia-smi mig --compute-instance-id <compute instance IDs>
Selects one or more compute instances using the given comma-separated
compute instance IDs. If not used, the given command-line option
applies to all of the compute instances.
5) List GPU instance profiles
nvidia-smi mig -lgip -i <GPU IDs>
nvidia-smi mig --list-gpu-instance-profiles --id <GPU IDs>
Lists GPU instance profiles, their availability and IDs. Profiles
describe the supported types of GPU instances, including all of the GPU
resources they exclusively control.
6) List GPU instance possible placements
nvidia-smi mig -lgipp -i <GPU IDs>
nvidia-smi mig --list-gpu-instance-possible-placements --id <GPU IDs>
Lists GPU instance possible placements. Possible placements describe
the locations of the supported types of GPU instances within the GPU.
7) Create GPU instance
nvidia-smi mig -cgi <GPU instance specifiers> -i <GPU IDs>
nvidia-smi mig --create-gpu-instance <GPU instance specifiers> --id
<GPU IDs>
Creates GPU instances for the given GPU instance specifiers. A GPU
instance specifier comprises a GPU instance profile name or ID and an
optional placement specifier consisting of a colon and a placement
start index. The command fails if the GPU resources required to
allocate the requested GPU instances are not available, or if the
placement index is not valid for the given profile.
8) Create a GPU instance along with the default compute instance
nvidia-smi mig -cgi <GPU instance profile IDs or names> -i <GPU IDs> -C
nvidia-smi mig --create-gpu-instance <GPU instance profile IDs or
names> --id <GPU IDs> --default-compute-instance
9) List GPU instances
nvidia-smi mig -lgi -i <GPU IDs>
nvidia-smi mig --list-gpu-instances --id <GPU IDs>
Lists GPU instances and their IDs.
10) Destroy GPU instance
nvidia-smi mig -dgi -gi <GPU instance IDs> -i <GPU IDs>
nvidia-smi mig --destroy-gpu-instances --gpu-instance-id <GPU instance
IDs> --id <GPU IDs>
Destroys GPU instances. The command fails if the requested GPU instance
is in use by an application.
11) List compute instance profiles
nvidia-smi mig -lcip -gi <GPU instance IDs> -i <GPU IDs>
nvidia-smi mig --list-compute-instance-profiles --gpu-instance-id <GPU
instance IDs> --id <GPU IDs>
Lists compute instance profiles, their availability and IDs. Profiles
describe the supported types of compute instances, including all of the
GPU resources they share or exclusively control.
12) List compute instance possible placements
nvidia-smi mig -lcipp -gi <GPU instance IDs> -i <GPU IDs>
nvidia-smi mig --list-compute-instance-possible-placements
--gpu-instance-id <GPU instance IDs> --id <GPU IDs>
Lists compute instance possible placements. Possible placements
describe the locations of the supported types of compute instances
within the GPU instance.
13) Create compute instance
nvidia-smi mig -cci <compute instance profile IDs or names> -gi <GPU
instance IDs> -i <GPU IDs>
nvidia-smi mig --create-compute-instance <compute instance profile IDs
or names> --gpu-instance-id <GPU instance IDs> --id <GPU IDs>
Creates compute instances for the given compute instance spcifiers. A
compute instance specifier comprises a compute instance profile name or
ID and an optional placement specifier consisting of a colon and a
placement start index. The command fails if the GPU resources required
to allocate the requested compute instances are not available, or if
the placement index is not valid for the given profile.
14) List compute instances
nvidia-smi mig -lci -gi <GPU instance IDs> -i <GPU IDs>
nvidia-smi mig --list-compute-instances --gpu-instance-id <GPU instance
IDs> --id <GPU IDs>
Lists compute instances and their IDs.
15) Destroy compute instance
nvidia-smi mig -dci -ci <compute instance IDs> -gi <GPU instance IDs>
-i <GPU IDs>
nvidia-smi mig --destroy-compute-instance --compute-instance-id
<compute instance IDs> --gpu-instance-id <GPU instance IDs> --id <GPU
IDs>
Destroys compute instances. The command fails if the requested compute
instance is in use by an application.

Boost Slider

The privileged "nvidia-smi boost-slider" command-line is used to manage boost slider on GPUs. It provides options to list and control boost sliders.

Power Hint

The privileged "nvidia-smi power-hint" command-line is used to query power hint on GPUs.

Usage:
1) Display help menu
nvidia-smi boost-slider -h
Displays help menu for using the command-line.
2) List one or more GPUs
nvidia-smi boost-slider -i <GPU IDs>
nvidia-smi boost-slider --id <GPU IDs>
Selects one or more GPUs using the given comma-separated GPU indexes,
PCI bus IDs or UUIDs. If not used, the given command-line option
applies to all of the supported GPUs.
3) List power hint info
nvidia-smi boost-slider -l
nvidia-smi boost-slider --list-info
List all boost sliders for the selected devices.
4) Query power hint
nvidia-smi boost-slider -gc <value> -t <value> -p <profile ID>
nvidia-smi boost-slider --graphics-clock <value> --temperature <value>
--profile <profile ID>
Query power hint with graphics clock, temperature and profile id.
5) Query power hint
nvidia-smi boost-slider -gc <value> -mc <value> -t <value> -p <profile
ID>
nvidia-smi boost-slider --graphics-clock <value> --memory-clock <value>
--temperature <value> --profile <profile ID>
Query power hint with graphics clock, memory clock, temperature and
profile id.

Confidential Compute

The "nvidia-smi conf-compute" command-line is used to manage confidential compute. It provides options to set and query confidential compute.

Usage:
1) Display help menu
nvidia-smi conf-compute -h
Displays help menu for using the command-line.
2) List one or more GPUs
nvidia-smi conf-compute -i <GPU IDs>
nvidia-smi conf-compute --id <GPU IDs>
Selects one or more GPUs using the given comma-separated GPU indexes,
PCI bus IDs or UUIDs. If not used, the given command-line option
applies to all of the supported GPUs.
3) Query confidential compute CPU capability
nvidia-smi conf-compute -gc
nvidia-smi conf-compute --get-cpu-caps
Get confidential compute CPU capability.
4) Query confidential compute GPUs capability
nvidia-smi conf-compute -gg
nvidia-smi conf-compute --get-gpus-caps
Get confidential compute GPUs capability.
5) Query confidential compute devtools mode
nvidia-smi conf-compute -d
nvidia-smi conf-compute --get-devtools-mode
Get confidential compute DevTools mode.
6) Query confidential compute environment
nvidia-smi conf-compute -e
nvidia-smi conf-compute --get-environment
Get confidential compute environment.
7) Query confidential compute feature status
nvidia-smi conf-compute -f
nvidia-smi conf-compute --get-cc-feature
Get confidential compute CC feature status.
8) Query confidential compute GPU protected/unprotected memory sizes
nvidia-smi conf-compute -gm
nvidia-smi conf-compute --get-mem-size-info
Get confidential compute GPU protected/unprotected memory sizes.
9) Set confidential compute GPU unprotected memory size
nvidia-smi conf-compute -sm <value>
nvidia-smi conf-compute --set-unprotected-mem-size <value>
Set confidential compute GPU unprotected memory size in KiB. Requires
root.
10) Set confidential compute GPUs ready state
nvidia-smi conf-compute -srs <value>
nvidia-smi conf-compute --set-gpus-ready-state <value>
Set confidential compute GPUs ready state. The value must be 1 to set
the ready state and 0 to unset it. Requires root.
11) Query confidential compute GPUs ready state
nvidia-smi conf-compute -grs
nvidia-smi conf-compute --get-gpus-ready-state
Get confidential compute GPUs ready state.
12) Set Confidential Compute Key Rotation Max Attacker Advantage
nvidia-smi conf-compute -skr <value>
nvidia-smi conf-compute --set-key-rotation-max-attacker-advantage
Set Confidential Compute Key Rotation Max Attacker Advantage.
13) Display Confidential Compute Key Rotation Threshold Info
nvidia-smi conf-compute -gkr
nvidia-smi conf-compute --get-key-rotation-threshold-info
Display Confidential Compute Key Rotation Threshold Info.
14) Display Confidential Compute Multi-GPU Mode
nvidia-smi conf-compute -mgm
nvidia-smi conf-compute --get-multigpu-mode
Display Confidential Compute Multi-GPU Mode.
15) Display Confidential Compute Detailed Info
nvidia-smi conf-compute -q
nvidia-smi conf-compute --query-conf-compute
Display Confidential Compute Detailed Info.

GPU Performance Monitoring(GPM) Stream State

The "nvidia-smi gpm" command-line is used to manage GPU performance monitoring unit. It provides options to query and set the stream state.

Usage:
1) Display help menu
nvidia-smi gpm -h
Displays help menu for using the command-line.
2) List one or more GPUs
nvidia-smi gpm -i <GPU IDs>
nvidia-smi gpm --id <GPU IDs>
Selects one or more GPUs using the given comma-separated GPU indexes,
PCI bus IDs or UUIDs. If not used, the given command-line option
applies to all of the supported GPUs.
3) Query GPU performance monitoring stream state
nvidia-smi gpm -g
nvidia-smi gpm --get-stream-state
Get gpm stream state for the selected devices.
4) Set GPU performance monitoring stream state
nvidia-smi gpm -s <value>
nvidia-smi gpm --set-stream-state <value>
Set gpm stream state for the selected devices.

GPU PCI section

The "nvidia-smi pci" command-line is used to manage GPU PCI counters. It provides options to query and clear PCI counters.

Usage:
1) Display help menu
nvidia-smi pci -h
Displays help menu for using the command-line.
2) Query PCI error counters
nvidia-smi pci -i <GPU index> -gErrCnt
Query PCI error counters of a GPU
3) Clear PCI error counters
nvidia-smi pci -i <GPU index> -cErrCnt
Clear PCI error counters of a GPU
4) Query PCI counters
nvidia-smi pci -i <GPU index> -gCnt
Query PCI RX and TX counters of a GPU

Power Smoothing

The "nvidia-smi power-smoothing" command-line is used to manage Power Smoothing related data on the GPU. It provides options to set Power Smoothing related data and query the preset profile definitions.

Usage:
1) Display help menu
nvidia-smi power-smoothing -h
Displays help menu for using the command-line.
2) List one or more GPUs
nvidia-smi power-smoothing -i <GPU IDs>
nvidia-smi power-smoothing --id <GPU IDs>
Selects one or more GPUs using the given comma-separated GPU indexes,
PCI bus IDs or UUIDs. If not used, the given command-line option
applies to all of the supported GPUs.
2) List one Preset Profile ID
nvidia-smi power-smoothing -p <Profile ID>
nvidia-smi power-smoothing --profile <Profile ID>
Selects a Preset Profile ID for which to update a value. This is
required when updating a Preset Profile parameter and prohibited in all
other cases.
2) Set Active Preset Profile ID
nvidia-smi power-smoothing -spp <Profile ID>
nvidia-smi power-smoothing --set-preset-profile <Profile ID>
Activate the deisred Preset Profile ID. Requires root.
2) Update percentage Total Module Power (TMP) floor
nvidia-smi power-smoothing -ptf <Percentage> -p <Profile ID>
nvidia-smi power-smoothing --percent-tmp-floor <Percentage> --profile
<Profile ID>
Sets the percentage TMP floor to inputted value for a given Preset
Profile ID. The desired percentage should be from 0 - 100, given in the
form of "AB.CD", with a maximum of two decimal places of precision. For
example, to set value to 34.56%, user will input 34.56. Input can also
contain zero or one decimal places of precision. This option requires a
profile ID as an argument. Requires root.
2) Update Ramp-Up Rate
nvidia-smi power-smoothing -rur <value> -p <Profile ID>
nvidia-smi power-smoothing --ramp-up-rate <value> --profile <Profile
ID>
Sets the Ramp-Up Rate to the desired value for a given Preset Profile
ID. The rate given must be in the units of mW/s. This option requires a
profile ID as an argument. Requires root.
2) Update Ramp-Down Rate
nvidia-smi power-smoothing -rdr <value> -p <Profile ID>
nvidia-smi power-smoothing --ramp-down-rate <value> --profile <Profile
ID>
Sets the Ramp-Down Rate to the desired value for a given Preset Profile
ID. The rate given must be in the units of mW/s. This option requires a
profile ID as an argument. Requires root.
2) Update Ramp-Down Hysteresis
nvidia-smi power-smoothing -rdh <value> -p <Profile ID>
nvidia-smi power-smoothing --ramp-down-hysteresis <value> --profile
<Profile ID>
Sets the Ramp-Down Hysteresis to the desired value for a given Preset
Profile ID. The rate given must be in the units of ms. This option
requires a profile ID as an argument. Requires root.
2) Displays the Preset Profile definitions for all Profile IDs
nvidia-smi power-smoothing -ppd
nvidia-smi power-smoothing --print-profile-definitions
Displays all values for each Preset Profile IDs.
2) Set Feature State
nvidia-smi power-smoothing -s <state>
nvidia-smi power-smoothing --state <state>
Sets the state of the feature to either 0/DISABLED or 1/ENABLED.
Requires root.

Power Profiles"

The "nvidia-smi power-profiles" command-line is used to manage Workload Power Profiles related data on the GPU. It provides options to update Power Profiles data and query the supported Power Profiles.

Usage:
1) Display help menu
nvidia-smi power-profiles -h
Displays help menu for using the command-line.
2) List one or more GPUs
nvidia-smi power-profiles -i <GPU IDs>
nvidia-smi power-profiles --id <GPU IDs>
Selects one or more GPUs using the given comma-separated GPU indexes,
PCI bus IDs or UUIDs. If not used, the given command-line option
applies to all of the supported GPUs.
3) List Power Profiles
nvidia-smi power-profiles -l
nvidia-smi power-profiles --list
List all Workload Power Profiles supported by the device.
4) List Detailed Power Profiles info
nvidia-smi power-profiles -ld
nvidia-smi power-profiles --list-detailed
List all Workload Power Profiles supported by the device along with
their metadata. This includes the Profile ID, the Priority (where a
lower number indicates a higher priority), and Profiles that conflict
with the given profile. If two or more conflicting profiles are
requested, not all my be enforced.
5) Get Requested Profiles
nvidia-smi power-profiles -gr
nvidia-smi power-profiles --get-requested
Get a list of all currently requested Power Profiles. Note that if any
of the profiles conflict, then not all may be enforced.
6) Set Requested Profiles
nvidia-smi power-profiles -sr <Profile ID>
nvidia-smi power-profiles --set-requested <Profile ID(s)>
Adds the input profile(s) to the list of requested Power Profiles. The
input is a comma separated list of profile IDs with no spaces. Requires
root.
7) Clear Requested Profiles
nvidia-smi power-profiles -cr <Profile ID>
nvidia-smi power-profiles --clear-requested <Profile ID(s)>
Removes the input profile(s) to the list of requested Power Profiles.
The input is a comma separated list of profile IDs with no spaces.
Requires root.
8) Get Enforced Profiles
nvidia-smi power-profiles -ge
nvidia-smi power-profiles --get-enforced
Get a list of all currently enforced Power Profiles. Note that this
list may differ from the requested Profiles list if multiple
conflicting profiles are selected.

GPU RUSD section

The "nvidia-smi rusd" command-line is used to manage GPU RUSD settings. It provides options to set RUSD settings. RUSD is Read only User Shared Data buffer that keeps GPU metrics.

Usage:

1) Display help menu

nvidia-smi rusd -h

Displays help menu for using the command-line. Example:

nvidia-smi rusd -h

rusd -- RUSD settings section

Usage: nvidia-smi rusd [options]

Options include:
[-h | --help]: Display help information
[-i | --id]: Enumeration index, PCI bus ID or UUID.

[-spm | --set-polling-mask]: Set polling mask for the given comma-separated list of metric groups
Groups are "none", "clock", "performance", "memory", "power", "thermal", "pci", "fan", "proc_util", "all"

2) Set RUSD poll mask

nvidia-smi rusd -i <GPU index> -spm <mask_value>

Set RUSD poll mask Example:

nvidia-smi rusd -spm all
nvidia-smi rusd -spm clock,performance
nvidia-smi rusd -spm none

GPU PRM section

The "nvidia-smi prm" command-line is used to read GPU PRM registers and counters. This option is only available on GPUs based on NVIDIA Blackwell or newer architectures.

Usage:

1) Display help menu

nvidia-smi prm -h

Displays the help menu for using the command-line. Example:

nvidia-smi prm -h
[-h | --help]: Display help information
[-i | --index]: GPU index; mandatory if "-n, --name" is selected
[-l | --list]: List all supported PRM registers and counters
[-n | --name]: PRM Register name; mandatory if any of "-f" or "-p" are selected
[-f | --info]: List all supported PRM parameters for the given register or counter
[-p | --params]: PRM input parameters, if any; parameters are a comma-separated list of <key>=<value> pairs

2) List supported PRM registers

nvidia-smi prm --list

Displays the list of supported GPU PRM registers and counters. Example:

nvidia-smi prm --list
Supported PRM registers:
GHPKT
MCAM
MGIR
MLPC
MORD
MPSCR
MTCAP
MTECR
MTEIM
MTEWE
MTIE
MTIM
MTRC_CAP
MTRC_CONF
MTRC_CTRL
MTSR
PAOS
PDDR
PGUID
PLIB
PLTC
PMAOS
PMLP
PMTU
PPAOS
PPCNT
PPHCR
PPLM
PPLR
PPRM
PPRT
PPSLC
PPSLS
PPTT
PTYS
SLRG
SLTP
Supported PRM counters:
CLI name Description
link_down_events PPCNT.(physical_layer_counters).link_down_events
oper_recovery PPRM.oper_recovery
plr_rcv_code_err PPCNT.(plr_counters_group).plr_rcv_code_err
plr_rcv_codes PPCNT.(plr_counters_group).plr_rcv_codes
plr_rcv_uncorrectable_code PPCNT.(plr_counters_group).plr_rcv_uncorrectable_code
plr_retry_codes PPCNT.(plr_counters_group).plr_retry_codes
plr_sync_events PPCNT.(plr_counters_group).plr_sync_events
plr_xmit_codes PPCNT.(plr_counters_group).plr_xmit_codes
plr_xmit_retry_events PPCNT.(plr_counters_group).plr_xmit_retry_events
port_xmit_wait PPCNT.(portcounters_attribute_group).port_xmit_wait
successful_recovery_events PPCNT.(physical_layer_counters).successful_recovery_events
time_between_last_2_recoveries PPCNT.(recovery_counters).time_between_last_2_recoveries
time_since_last_recovery PPCNT.(recovery_counters).time_since_last_recovery
total_successful_recovery_events PPCNT.(recovery_counters).total_successful_recovery_events

3) List supported input parameters for a given PRM register or counter

nvidia-smi prm -n <register> -f or nvidia-smi prm -c <counter> -f

Lists the supported input parameters (if any) for the given PRM register or counter. Example:

nvidia-smi prm -n PPCNT -f
Supported PRM parameters for register PPCNT:
grp
port_type
lp_msb
pnat
local_port
swid
prio_tc
grp_profile
plane_ind
counters_cap
lp_gl
clr

Note that some registers do not take any input parameters; in this case the output of the above command will be ’[NONE]’ . Example:

nvidia-smi prm -n MGIR -f
Supported PRM parameters for register MGIR:
[NONE]

4) Read GPU PRM register

nvidia-smi prm -i <GPU-index> -n <register> -p <Comma-separated list of key EQUALS value pairs>

Reads the specified GPU PRM register with the given input parameters and outputs to the screen. Note that the output may not include all information in the register. Example:

nvidia-smi prm -i 0 -n PPCNT -p=local_port=1,pnat=1,grp=35
PPCNT:
grp = 35, port_type = 0, lp_msb = 0, pnat = 1, local_port = 1, swid = 0
prio_tc = 0, grp_profile = 0, plane_ind = 0, counters_cap = 0, lp_gl = 0, clr = 0

5) Read GPU PRM counter

nvidia-smi prm -i <GPU-index> -c <counter> -p <Comma-separated list of key EQUALS value pairs>

Reads the specified GPU PRM counter with the given input parameters and outputs to the screen. Example:

nvidia-smi prm -i 0 -c plr_rcv_codes -p "local_port=1"
plr_rcv_codes ==> 0x64aace03ff

System on Chip section

The "nvidia-smi soc" command-line is used to manage system on chip (SoC) metrics It provides options to query SoC metrics. This SoC section is only available on Tegra Linux system.

Usage:

1) Display help menu

nvidia-smi soc -h

Displays help menu for using the command-line.

Example:

nvidia-smi soc -h
soc -- System on Chip section

Usage: nvidia-smi soc [options]

Options include:
[-h | --help]: Display help information
[-q | --query]: Query SoC metrics

2) Query Soc Metrics

nvidia-smi soc -q

Query SoC metrics.

Example:

nvidia-smi soc -q

Memory:
MemTotal: 128.83 GiB
MemFree: 89.43 GiB
CPU:
cpu0:
clock: 972MHz
utilization: 0%
cpu1:
clock: 972MHz
utilization: 0%
cpu2:
clock: 972MHz
utilization: 0%
cpu3:
clock: 972MHz
utilization: 0%
cpu4:
clock: 972MHz
utilization: 0%
cpu5:
clock: 972MHz
utilization: 0%
cpu6:
clock: 972MHz
utilization: 0%
cpu7:
clock: 972MHz
utilization: 0%
cpu8:
clock: 1350MHz
utilization: 0%
cpu9:
clock: 1674MHz
utilization: 0%
cpu10:
clock: 972MHz
utilization: 0%
cpu11:
clock: 972MHz
utilization: 0%
cpu12:
clock: 972MHz
utilization: 0%
cpu13:
clock: 972MHz
utilization: 0%
Memory Controller:
utilization: 0%
clock: 4266MHz
Video Image Compositor:
state: off
Programmable Vision Accelerator:
state: off
Audio Processing Engine:
Clock: 300 MHz
Thermal info:
cpu-thermal: 59.22C
tj-thermal: 60.41C
soc012-thermal: 58.47C
soc345-thermal: 60.41C
Power info:
VDD_GPU: 5145 mW
VDD_CPU_SOC_MSS: 5937 mW
VIN_SYS_5V0: 4939 mW

UNIT ATTRIBUTES

The following list describes all possible data returned by the -q -u unit query option. Unless otherwise noted all numerical results are base 10 and unitless.

Timestamp

The current system timestamp at the time nvidia-smi was invoked. Format is "Day-of-week Month Day HH:MM:SS Year".

Driver Version

The version of the installed NVIDIA display driver. Format is "Major-Number.Minor-Number".

HIC Info

Information about any Host Interface Cards (HIC) that are installed in the system.
Firmware Version

The version of the firmware running on the HIC.

Attached Units

The number of attached Units in the system.

Product Name

The official product name of the unit. This is an alphanumeric value. For all S-class products.

Product Id

The product identifier for the unit. This is an alphanumeric value of the form "part1-part2-part3". For all S-class products.

Product Serial

The immutable globally unique identifier for the unit. This is an alphanumeric value. For all S-class products.

Firmware Version

The version of the firmware running on the unit. Format is "Major-Number.Minor-Number". For all S-class products.

LED State

The LED indicator is used to flag systems with potential problems. An LED color of AMBER indicates an issue. For all S-class products.

	Color		The color of the LED indicator. Either "GREEN" or "AMBER".
	Cause		The reason for the current LED color. The cause may be listed as any combination of "Unknown", "Set to AMBER by host system", "Thermal sensor failure", "Fan failure" and "Temperature exceeds critical limit".

Temperature

Temperature readings for important components of the Unit. All readings are in degrees C. Not all readings may be available. For all S-class products.

	Intake		Air temperature at the unit intake.
	Exhaust		Air temperature at the unit exhaust point.
	Board		Air temperature across the unit board.

PSU

Readings for the unit power supply. For all S-class products.

	State		Operating state of the PSU. The power supply state can be any of the following: "Normal", "Abnormal", "High voltage", "Fan failure", "Heatsink temperature", "Current limit", "Voltage below UV alarm threshold", "Low-voltage", "I2C remote off command", "MOD_DISABLE input" or "Short pin transition".
	Voltage		PSU voltage setting, in volts.
	Current		PSU current draw, in amps.

Fan Info

Fan readings for the unit. A reading is provided for each fan, of which there can be many. For all S-class products.

	State		The state of the fan, either "NORMAL" or "FAILED".
	Speed		For a healthy fan, the fan’s speed in RPM.

Attached GPUs

A list of PCI bus ids that correspond to each of the GPUs attached to the unit. The bus ids have the form "domain:bus:device.function", in hex. For all S-class products.

NOTES

On Linux, NVIDIA device files may be modified by nvidia-smi if run as root. Please see the relevant section of the driver README file.

The -a and -g arguments are now deprecated in favor of -q and -i , respectively. However, the old arguments still work for this release.

EXAMPLES

nvidia-smi -q

Query attributes for all GPUs once, and display in plain text to stdout.

nvidia-smi --format=csv,noheader --query-gpu=uuid,persistence_mode

Query UUID and persistence mode of all GPUs in the system.

nvidia-smi -q -d ECC,POWER -i 0 -l 10 -f out.log

Query ECC errors and power consumption for GPU 0 at a frequency of 10 seconds, indefinitely, and record to the file out.log.

nvidia-smi -c 1 -iGPU-b2f5f1b745e3d23d-65a3a26d-097db358-7303e0b6-149642ff3d219f8587cde3a8""

Set the compute mode to "PROHIBITED" for GPU with UUID "GPU-b2f5f1b745e3d23d-65a3a26d-097db358-7303e0b6-149642ff3d219f8587cde3a8".

nvidia-smi -q -u -x --dtd

Query attributes for all Units once, and display in XML format with embedded DTD to stdout.

nvidia-smi --dtd -u -f nvsmi_unit.dtd

Write the Unit DTD to nvsmi_unit.dtd.

nvidia-smi -q -d SUPPORTED_CLOCKS

Display supported clocks of all GPUs.

nvidia-smi -i 0 --applications-clocks 2500,745

Set applications clocks to 2500 MHz memory, and 745 MHz graphics.

nvidia-smi mig -cgi 19

Create a MIG GPU instance on profile ID 19.

nvidia-smi mig -cgi 19:2

Create a MIG GPU instance on profile ID 19 at placement start index 2.

nvidia-smi boost-slider -l

List all boost sliders for all GPUs.

nvidia-smi boost-slider --vboost 1

Set vboost to value 1 for all GPUs.

nvidia-smi power-hint -l

List clock range, temperature range and supported profiles of power hint.

nvidia-smi boost-slider -gc 1350 -t 60 -p 0

Query power hint with graphics clock at 1350MHz, temperature at 60C and profile ID at 0.

nvidia-smi boost-slider -gc 1350 -mc 1215 -t n5 -p 1

Query power hint with graphics clock at 1350MHz, memory clock at 1216MHz, temperature at -5C and profile ID at 1.

DEPRECATON AND REMOVAL NOTICES

Features deprecated and/or removed between nvidia-smi v580 Update and v575

• Removed deprecated graphics voltage value from Voltage section of’nvidia-smi -q’• Removed deprecated GPU Reset Status from ’nvidia-smi -q’ output• Deprecated GPU Fabric State and Status from ’nvidia-smi -q’CHANGE LOG

Known Issues

• On systems where GPUs are NUMA nodes, the accuracy of FB memoryutilization provided by nvidia-smi depends on the memory accountingof the operating system. This is because FB memory is managed by theoperating system instead of the NVIDIA GPU driver. Typically, pagesallocated from FB memory are not released even after the processterminates to enhance performance. In scenarios where the operatingsystem is under memory pressure, it may resort to utilizing FBmemory. Such actions can result in discrepancies in the accuracy ofmemory reporting.• On Linux GPU Reset can’t be triggered when there is pending GOMchange.• On Linux GPU Reset may not successfully change pending ECC mode. Afull reboot may be required to enable the mode change.• On Linux platforms that configure NVIDIA GPUs as NUMA nodes, enablingpersistence mode or resetting GPUs may print ’Warning: persistencemode is disabled on device’ if nvidia-persistenced is not running, orif nvidia-persistenced cannot access files in the NVIDIA driver’sprocfs directory for the device (/proc/driver/nvidia/gpus/<PCIconfig=’’ address>=’’>/). During GPU reset and driver reload, thisdirectory will be deleted and recreated, and outstanding referencesto the deleted directory, such as mounts or shells, can preventprocesses from accessing files in the new directory.• There might be a slight discrepency between volatile/aggregate ECCcounters if recovery action was not takenChanges between nvidia-smi v595 Update and v590

• Added new fields to nvidia-smi nvlink -e• Raw BER Lane 0• Raw BER Lane 1• Raw BER Total• Raw Errors Lane 0• Raw Errors Lane 1• Renamed ’NVLE’ to ’NVLink Encryption’ in ’nvidia-smi nvlink --info’• Added a new command to read GPU PRM counters: ’nvidia-smi prm -c’• Added a new field ’weight’ to ’nvidia-smi vgpu -sl’ to query the vGPUsoftware weight for each runlist• Removed support of disabling ARR mode from ’nvidia-smi vgpuset-scheduler-state’ command• Removed ARR Mode field from ’nvidia-smi vgpu -ss’ command whichreports the vGPU software scheduler state• Added new fields to nvidia-smi nvlink -e• PLR Xmit Blocks• PLR Xmit Retry BlocksChanges between nvidia-smi v590 Update and v580

• Added support for inclusion of NIC data-direct devices in ’nvidia-smitopo -m’• Added support to display System on Chip metrics via a new command:’nvidia-smi soc’ (support only on Tegra Linux system)• Added support for setting RUSD (Read only User Shared Data) settingsvia a new command: ’nvidia-smi rusd’• Deprecated Applications Clocks, including:• Current Applications Clocks frequencies for Memory and Graphicsclocks• Default Applications Clocks frequencies for Memory and Graphicsclocks• The -ac option to set Applications Clocks frequencies for Memory andGraphics clocks• The -rac option to reset Applications Clocks frequencies for Memoryand Graphics clocks• Added Nvlink version to ’nvidia-smi nvlink -info’ output• Added new option ’nvidia-smi power-profiles -or’ to set and overwritethe requested power profiles.• Added new field ’EDPp Multipler’ to ’nvidia-smi -q’, which expressesthe EDPp ratio as a percentage.• Added new field ’--query-gpu=edpp_multipler’ to retrieve themultipler.• Added Unrepairable memory status to ECC field: ’nvidia-smi -q -d ECC’• Modified the ’FB Memory Usage’, ’BAR1 Memory Usage’ fields in the’nvidia-smi -q’ output to ’Shared FB Memory Usage’, ’Shared BAR1Usage’ respectively to indicate they are shared among the MIG devicesassociated with the same GPU instance.• Added a new sub-option ’-ei’ to ’nvidia-smi vgpu -sl’ to query thevGPU software scheduler logs on the user provided engine.• Added new ’--query-gpu’ options for Delayed Power Smoothing:• power_smoothing.supported• power_smoothing.primary_power_floor• power_smoothing.secondary_power_floor• power_smoothing.min_primary_floor_activation_offset• power_smoothing.min_primary_floor_activation_point• power_smoothing.window_multiplier• power_smoothing.curr_profile.secondary_power_floor• power_smoothing.curr_profile.primary_floor_act_window_multiplier• power_smoothing.curr_profile.primary_floor_tar_window_multiplier• power_smoothing.curr_profile.primary_floor_act_offset• power_smoothing.admin_override.secondary_power_floor• power_smoothing.admin_override.primary_floor_act_window_multiplier• power_smoothing.admin_override.primary_floor_tar_window_multiplier• power_smoothing.admin_override.primary_floor_act_offset• Added 4 new configurable profile fields in ’nvidia-smipower-smoothing’.Changes between nvidia-smi v580 Update and v575

• Added Device NVLINK Encryption status in the new nvlink info command’nvidia-smi nvlink -info’• Added Muti-GPU mode NVLINK Encryption (NVLE) in ’nvidia-smiconf-compute -mgm’ and ’nvidia-smi conf-compute -q’• Added Nvlink Firmware Version info to the nvlink info command’nvidia-smi nvlink -info’• Added Channel/TPC repair pending flags to ECC field: ’nvidia-smi -q-d ECC’• Removed deprecated graphics voltage value from Voltage section of’nvidia-smi -q’• Removed deprecated GPU Reset Status from ’nvidia-smi -q’ output• Added a new option to read GPU PRM registers: ’nvidia-smi prm’• Added a new ’Bus’ reset option to the existing reset command:’nvidia-smi -r bus’• Added a new output field called ’GPU PDI’ to the ’nvidia-smi -q’output• Added a new cmdline option ’--columns’ or ’-col’ to display thesummary in multi-column format.• Modified the ’Memory-Usage’, ’BAR1-Usage’ headers in the MIG devicetable to ’Shared Memory-Usage’, ’Shared BAR1-Usage’ respectively toindicate they are shared among the MIG devices associated with thesame GPU instance.• Updated GPU Fabric output from ’nvidia-smi -q’ output:• Added Incorrect Configuration and Summary fields to Fabric Healthoutput• Added support for NVIDIA Jetson Thor platform• Note that the following features are currently not supported onJetson Thor:• Clock queries and commands• Power queries and commands• Thermal and temperature queries• Per-process utilization via ’nvidia-smi pmon’• SOC memory utilization• Added new Incorrect Configuration Strings to Fabric Health output• Incompatible Gpu Firmware• Invalid Location• Added new command line options ’--get-hostname’ and ’--set-hostname’to get and set GPU hostnames, respectively.• Added new Incorrect Configuration Strings to Fabric Health output• GPU State Invalid• Added new Partition Assigned field to Fabric Health outputChanges between nvidia-smi v575 Update and v570

• Added new --query-gpu option inforom.checksum_validation to check theinforom checksum validation (nvidia-smi --query-gpuinforom.checksum_validation)• Updated ’nvidia-smi -q’ to print both ’Instantaneous Power Draw’ and’Average Power Draw’ in all cases where ’Power Draw’ used to beprinted.• Added support to nvidia-smi c2c -e to display C2C Link Errors• Added support to nvidia-smi c2c -gLowPwrInfo to display C2C LinkPower state• Added new fields for Clock Event Reason Counters which can be querieswith ’nvidia-smi -q’ or with the ’nvidia-smi -q -d PERFORMANCE’display flag.• Added new query GPU options for Clock Event Reason Counters:’nvidia-smi--query-gpu=clocks_event_reasons_counters.{sw_power_cap,sw_thermal_slowdown,sync_boost,hw_thermal_slowdown,hw_power_brake_slowdown}’• Added new fields for MIG timeslicing which can be queried with’nvidia-smi -q’• Added a new cmdline option ’-smts’ to ’nvidia-smi vgpu’ to set vGPUMIG timeslice mode• Added a new sub-option ’-gi’ to ’nvidia-smi vgpu -c’ to query thecurrently creatable vGPU types on the user provided GPU Instance• Added a new sub-option ’-gi’ to ’nvidia-smi vgpu -q’ to querydetailed information of the currently active vGPU instances on theuser provided GPU Instance• Added a new sub-option ’-gi’ to ’nvidia-smi vgpu -ss’ to query thevGPU software scheduler state on the user provided GPU Instance• Added a new sub-option ’-gi’ to ’nvidia-smi vgpu -sl’ to query thevGPU software scheduler logs on the user provided GPU Instance• Added a new cmdline option ’-ghm’ to ’nvidia-smi vgpu’ to get vGPUheterogeneous mode on the user provided GPU Instance• Added a new sub-option ’-gi’ to ’nvidia-smi vgpu -shm’ to set thevGPU heterogeneous mode on the user provided GPU Instance• Added new field for max instances per GPU Instance which can bequeried with ’nvidia-smi vgpu -s -v’• Added a new sub-option ’-gi’ to ’nvidia-smi vgpu set-scheduler-state’to set the vGPU software scheduler state on the user provided GPUInstance.• Added a new sub-option ’-gi’ to ’nvidia-smi vgpu -c -v’ to querydetailed information of the creatable vGPU types on the user providedGPU Instance• Added a new cmdlin option ’--query-gpu-instance-vgpu-scheduler-logs’to ’nvidia-smi vgpu’ to get the vGPU software scheduler logs on theuser provided GPU Instance in CSV format. See nvidia-smi vgpu--help-gpu-instance-vgpu-query-scheduler-logs for details.Changes between nvidia-smi v570 Update and v565

• Added new cmdline option ’-\sLWidth’ and ’-\gLWidth’ to ’nvidia-sminvlink’• Added new ability to display Nvlink sleep state with ’nvidia-sminvlink -\s for Blackwell and onward generations’• Added new query GPU options for average/instant module power draw:’nvidia-smi --query-gpu=module.power.draw.{average,instant}’• Added new query GPU options for default/max/min module power limits:’nvidia-smi--query-gpu=module.power.{default_limit,max_limit,min_limit}’• Added new query GPU options for module power limits: ’nvidia-smi--query-gpu=module.power.limit’• Added new query GPU options for enforced module power limits:’nvidia-smi --query-gpu=module.enforced.power.limit’• Added new query GPU aliases for GPU Power options• Added a new command to get confidential compute info: ’nvidia-smiconf-compute -q’• Added new Power Profiles section in nvidia-smi -q and corresponding-d display flag POWER_PROFILES• Added new Power Profiles option ’nvidia-smi power-profiles’ toget/set power profiles related information.• Added the platform information query to ’nvidia-smi -q’• Added the platform information query to ’nvidia-smi --query-gpuplatform’• Added new Power Smoothing option ’nvidia-smi power-smoothing’ to setpower smoothing related values.• Added new Power Smoothing section in nvidia-smi -q and corresponding-d display flag POWER_SMOOTHING• Deprecated graphics voltage value from Voltage section of nvidia-smi-q. Voltage now always displays as ’N/A’ and will be removed in afuture release.• Added new topo option nvidia-smi topo -nvme to display GPUs vs NVMesconnecting path.• Changed help string for the command ’nvidia-smi topo -p2p -p’ from’prop’ to ’pcie’ to better describe the p2p capability.• Added new command ’nvidia-smi pci -gCnt’ to query PCIe RX/TX Bytes.• Added EGM capability display under new Capabilities section innvidia-smi -q command.• Add multiGpuMode dipsplay via nvidia-smi via ’nvidia-smi conf-compute--get-multigpu-mode’ or ’nvidia-smi conf-compute -mgm’• GPU Reset Status in nvidia-smi -q has been deprecated. GPU Recoveryaction provides all the necessary actions• nvidia-smi -q will now display Dram encryption state• nvidia-smi -den/--dram-encryption 0/1 to disable/enable dramencryption• Added new status to nvidia fabric health. nvidia-smi -q will display3 new fields in Fabric Health - Route Recovery in progress, RouteUnhealthy and Access Timeout Recovery• In nvidia-smi -q Platform Info - RACK GUID is changed to PlatformInfo - RACK Serial Number• In nvidia-smi --query-gpu new option for gpu_recovery_action is added• Added new counters for Nvlink5 in nvidia-smi nvlink -e:• Effective Errors to get sum of the number of errors in each Nvlinkpacket• Effective BER to get Effective BER for effective errors• FEC Errors - 0 to 15 to get count of symbol errors that arecorrected• Added a new output field called ’GPU Fabric GUID’ to the ’nvidia-smi-q’ output• Added a new property called ’platform.gpu_fabric_guid’ to ’nvidia-smi--query-gpu’• Updated ’nvidia-smi nvlink -gLowPwrInfo’ command to display the PowerThreshold Range and UnitsChanges between nvidia-smi v565 Update and v560

• Added the reporting of vGPU homogeneous mode to ’nvidia-smi -q’.• Added the reporting of homogeneous vGPU placements to ’nvidia-smivgpu -s -v’, complementing the existing reporting of heterogeneousvGPU placements.Changes between nvidia-smi v560 Update and v555

• Added ’Atomic Caps Inbound’ in the PCI section of ’nvidia-smi -q’.• Updated ECC and row remapper output for options ’--query-gpu’ and’--query-remapped-rows’.• Added support for events including ECC single-bit error storm, DRAMretirement, DRAM retirement failure, contained/nonfatal poison anduncontained/fatal poison.• Added support in ’nvidia-smi nvlink -e’ to display NVLink5 errorcountersChanges between nvidia-smi v550 Update and v545

• Added a new cmdline option to print out version information:--version• Added ability to print out only the GSP firmware versionwith’nvidia-smi -q -d’. Example commandline: nvidia-smi -q -dGSP_FIRMWARE_VERSION• Added support to query pci.baseClass and pci.subClass. See nvidia-smi--help-query-gpu for details.• Added PCI base and sub classcodes to ’nvidia-smi -q’ output.• Added new cmdline option ’--format’ to ’nvidia-smi dmon’ to support’csv’, ’nounit’ and ’noheader’ format specifiers• Added a new cmdline option ’--gpm-options’ to ’nvidia-smi dmon’ tosupport GPM metrics report in MIG mode• Added the NVJPG and NVOFA utilization report to ’nvidia-smi pmon’• Added the NVJPG and NVOFA utilization report to ’nvidia-smi -q -dutilization’• Added the NVJPG and NVOFA utilization report to ’nvidia-smi vgpu -q’to report NVJPG/NVOFA utilization on active vgpus• Added the NVJPG and NVOFA utilization report to ’nvidia-smi vgpu -u’to periodically report NVJPG/NVOFA utilization on active vgpus• Added the NVJPG and NVOFA utilization report to ’nvidia-smi vgpu -p’to periodically report NVJPG/NVOFA utilization on running processs ofactive vgpus• Added a new cmdline option ’-shm’ to ’nvidia-smi vgpu’ to set vGPUheterogeneous mode• Added the reporting of vGPU heterogeneous mode in ’nvidia-smi -q’• Added ability to call ’nvidia-smi mig -lgip’ and ’nvidia-smi mig-lgipp’ to work without requiring MIG being enabled• Added support to query confidential compute key rotation thresholdinfo.• Added support to set confidential compute key rotation max attackeradvantage.• Added a new cmdline option ’--sparse-operation-mode’ to ’nvidia-smiclocks’ to set the sparse operation mode• Added the reporting of sparse operation mode to ’nvidia-smi -q -dPERFORMANCE’Changes between nvidia-smi v535 Update and v545

• Added support to query the timestamp and duration of the latest flushof the BBX object to the inforom storage.• Added support for reporting out GPU Memory power usage.Changes between nvidia-smi v535 Update and v530

• Updated the SRAM error status reported in the ECC query ’nvidia-smi-q -d ECC’• Added support to query and report the GPU JPEG and OFA (Optical FlowAccelerator) utilizations.• Removed deprecated ’stats’ command.• Added support to set the vGPU software scheduler state.• Renamed counter collection unit to gpu performance monitoring.• Added new C2C Mode reporting to device query.• Added back clock_throttle_reasons to --query-gpu to not breakbackwards compatibility• Added support to get confidential compute CPU capability and GPUscapability.• Added support to set confidential compute unprotected memory and GPUready state.• Added support to get confidential compute memory info and GPU readystate.• Added support to display confidential compute devtools mode,environment and feature status.Changes between nvidia-smi v525 Update and v530

• Added support to query power.draw.average and power.draw.instant. Seenvidia-smi --help-query-gpu for details.• Added support to get the vGPU software scheduler state.• Added support to get the vGPU software scheduler logs.• Added support to get the vGPU software scheduler capabilities.• Renamed Clock Throttle Reasons to Clock Event Reasons.Changes between nvidia-smi v520 Update and v525

• Added support to query and set counter collection unit stream state.Changes between nvidia-smi v470 Update and v510

• Add new ’Reserved’ memory reporting to the FB memory outputChanges between nvidia-smi v465 Update and v470

• Added support to query power hintChanges between nvidia-smi v460 Update and v465

• Removed support for -acp,--application-clock-permissions optionChanges between nvidia-smi v450 Update and v460

• Add option to specify placement when creating a MIG GPU instance.• Added support to query and control boost sliderChanges between nvidia-smi v445 Update and v450

• Added --lock-memory-clock and --reset-memory-clock command to lock toclosest min/max Memory clock provided and ability to reset Memoryclock• Allow fan speeds greater than 100% to be reported• Added topo support to display NUMA node affinity for GPU devices• Added support to create MIG instances using profile names• Added support to create the default compute instance while creating aGPU instance• Added support to query and disable MIG mode on Windows• Removed support of GPU reset(-r) command on MIG enabled vGPU guestsChanges between nvidia-smi v418 Update and v445

• Added support for Multi Instance GPU (MIG)• Added support to individually reset NVLink-capable GPUs based on theNVIDIA Ampere architectureChanges between nvidia-smi v361 Update and v418

• Support for Volta and Turing architectures, bug fixes, performanceimprovements, and new featuresChanges between nvidia-smi v352 Update and v361

• Added nvlink support to expose the publicly available NVLINK NVMLAPIs• Added clocks sub-command with synchronized boost support• Updated nvidia-smi stats to report GPU temperature metric• Updated nvidia-smi dmon to support PCIe throughput• Updated nvidia-smi daemon/replay to support PCIe throughput• Updated nvidia-smi dmon, daemon and replay to support PCIe ReplayErrors• Added GPU part numbers in nvidia-smi -q• Removed support for exclusive thread compute mode• Added Video (encoder/decode) clocks to the Clocks and Max Clocksdisplay of nvidia-smi -q• Added memory temperature output to nvidia-smi dmon• Added --lock-gpu-clock and --reset-gpu-clock command to lock toclosest min/max GPU clock provided and reset clock• Added --cuda-clocks to override or restore default CUDA clocksChanges between nvidia-smi v346 Update and v352

• Added topo support to display affinities per GPU• Added topo support to display neighboring GPUs for a given level• Added topo support to show pathway between two given GPUs• Added ’nvidia-smi pmon’ command-line for process monitoring inscrolling format• Added ’--debug’ option to produce an encrypted debug log for use insubmission of bugs back to NVIDIA• Fixed reporting of Used/Free memory under Windows WDDM mode• The accounting stats is updated to include both running andterminated processes. The execution time of running process isreported as 0 and updated to actual value when the process isterminated.Changes between nvidia-smi v340 Update and v346

• Added reporting of PCIe replay counters• Added support for reporting Graphics processes via nvidia-smi• Added reporting of PCIe utilization• Added dmon command-line for device monitoring in scrolling format• Added daemon command-line to run in background and monitor devices asa daemon process. Generates dated log files at /var/log/nvstats/• Added replay command-line to replay/extract the stat files generatedby the daemon toolChanges between nvidia-smi v331 Update and v340

• Added reporting of temperature threshold information.• Added reporting of brand information (e.g. Tesla, Quadro, etc.)• Added support for K40d and K80.• Added reporting of max, min and avg for samples (power, utilization,clock changes). Example commandline: nvidia-smi -q -dpower,utilization, clock• Added nvidia-smi stats interface to collect statistics such as power,utilization, clock changes, xid events and perf capping counters witha notion of time attached to each sample. Example commandline:nvidia-smi stats• Added support for collectively reporting metrics on more than oneGPU. Used with comma separated with ’-i’ option. Example: nvidia-smi-i 0,1,2• Added support for displaying the GPU encoder and decoder utilizations• Added nvidia-smi topo interface to display the GPUDirectcommunication matrix (EXPERIMENTAL)• Added support for displayed the GPU board ID and whether or not it isa multiGPU board• Removed user-defined throttle reason from XML outputChanges between nvidia-smi v5.319 Update and v331

• Added reporting of minor number.• Added reporting BAR1 memory size.• Added reporting of bridge chip firmware.Changes between nvidia-smi v4.319 Production and v4.319 Update

• Added new --applications-clocks-permission switch to changepermission requirements for setting and resetting applicationsclocks.Changes between nvidia-smi v4.304 and v4.319 Production

• Added reporting of Display Active state and updated documentation toclarify how it differs from Display Mode and Display Active state• For consistency on multi-GPU boards nvidia-smi -L always displaysUUID instead of serial number• Added machine readable selective reporting. See SELECTIVE QUERYOPTIONS section of nvidia-smi -h• Added queries for page retirement information. See--help-query-retired-pages and -d PAGE_RETIREMENT• Renamed Clock Throttle Reason User Defined Clocks to ApplicationsClocks Setting• On error, return codes have distinct non zero values for each errorclass. See RETURN VALUE section• nvidia-smi -i can now query information from healthy GPU when thereis a problem with other GPU in the system• All messages that point to a problem with a GPU print pci bus id of aGPU at fault• New flag --loop-ms for querying information at higher rates than oncea second (can have negative impact on system performance)• Added queries for accounting procsses. See--help-query-accounted-apps and -d ACCOUNTING• Added the enforced power limit to the query outputChanges between nvidia-smi v4.304 RC and v4.304 Production

• Added reporting of GPU Operation Mode (GOM)• Added new --gom switch to set GPU Operation ModeChanges between nvidia-smi v3.295 and v4.304 RC

• Reformatted non-verbose output due to user feedback. Removed pendinginformation from table.• Print out helpful message if initialization fails due to kernelmodule not receiving interrupts• Better error handling when NVML shared library is not present in thesystem• Added new --applications-clocks switch• Added new filter to --display switch. Run with -d SUPPORTED_CLOCKS tolist possible clocks on a GPU• When reporting free memory, calculate it from the rounded total andused memory so that values add up• Added reporting of power management limit constraints and defaultlimit• Added new --power-limit switch• Added reporting of texture memory ECC errors• Added reporting of Clock Throttle ReasonsChanges between nvidia-smi v2.285 and v3.295

• Clearer error reporting for running commands (like changing computemode)• When running commands on multiple GPUs at once N/A errors are treatedas warnings.• nvidia-smi -i now also supports UUID• UUID format changed to match UUID standard and will report adifferent value.Changes between nvidia-smi v2.0 and v2.285

• Report VBIOS version.• Added -d/--display flag to filter parts of data• Added reporting of PCI Sub System ID• Updated docs to indicate we support M2075 and C2075• Report HIC HWBC firmware version with -u switch• Report max(P0) clocks next to current clocks• Added --dtd flag to print the device or unit DTD• Added message when NVIDIA driver is not running• Added reporting of PCIe link generation (max and current), and linkwidth (max and current).• Getting pending driver model works on non-admin• Added support for running nvidia-smi on Windows Guest accounts• Running nvidia-smi without -q command will output non verbose versionof -q instead of help• Fixed parsing of -l/--loop= argument (default value, 0, to big value)• Changed format of pciBusId (to XXXX:XX:XX.X - this change was visiblein 280)• Parsing of busId for -i command is less restrictive. You can pass0:2:0.0 or 0000:02:00 and other variations• Changed versioning scheme to also include ’driver version’• XML format always conforms to DTD, even when error conditions occur• Added support for single and double bit ECC events and XID errors(enabled by default with -l flag disabled for -x flag)• Added device reset -r --gpu-reset flags• Added listing of compute running processes• Renamed power state to performance state. Deprecated support existsin XML output only.• Updated DTD version number to 2.0 to match the updated XML outputSEE ALSO

On Linux, the driver README is installed as /usr/share/doc/NVIDIA_GLX-1.0/README.txt

AUTHOR

NVIDIA Corporation