Provided by: nvidia-utils-535-server_535.161.07-0ubuntu0.20.04.1_amd64 
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: http://developer.nvidia.com/nvidia-management-library-nvml/
Python bindings: http://pypi.python.org/pypi/nvidia-ml-py/
OPTIONS
GENERAL OPTIONS
-h, --help
Print usage information and exit.
SUMMARY 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.
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 optional]
-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, ROW_REMAPPER, VOLTAGE, RESET_STATUS. 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.
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
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.
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.
-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
Enable or disable TCC 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.
--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.
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.
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.
GPU reset operation will not be supported on MIG enabled vGPU guests.
Visit http://developer.nvidia.com/gpu-deployment-kit to download the GDK.
-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.
-rgc, --reset-gpu-clocks
Resets the GPU clocks to the default value. Supported on Volta+. Requires root.
-ac, --applications-clocks=MEM_CLOCK,GRAPHICS_CLOCK
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
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.
Requires administrator privileges. Value needs to be between Min and Max Power Limit as
reported by nvidia-smi.
-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 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.
-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
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-default-force=MODE
Set the default auto boost policy to 0/DISABLED or 1/ENABLED, enforcing the change
immediately. Only on certain Tesla devices from the Kepler+ family and Maxwell-based
GeForce devices. Requires root.
--auto-boost-permission=MODE
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 degree celsius. Requires administrator
privileges. Target temperature should be within limits supported by GPU. These limits
can be retrieved by using query option with SUPPORTED_GPU_TARGET_TEMP.
[plus optional]
-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.
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 optional]
-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 optional]
-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.
stats
Display statistics information about the GPU. Use "nvidia-smi stats -h" for more
information. Linux only.
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.
boost-slider
Provides controls for boost sliders management.
power-hint
Provides queries for power hint.
conf-compute
Provides control and queries for confidential compute.
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.
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.
Display Mode
A flag that indicates whether a physical display (e.g. monitor) is currently connected to
any of the GPU's connectors. "Enabled" indicates an attached display. "Disabled"
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.
Accounting Mode
A flag that indicates whether accounting mode is enabled for the GPU Value is either 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 and WDDM 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.
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.
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 Object Version for the power management data.
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 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.
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
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.
Maximum 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 capablities of outbound/inbound operation between GPU memory and Host
memory (no peer to peer).
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 Nothing is running on the GPU and the clocks are dropping to Idle state.
This limiter may be removed in a later release.
Application Clocks Setting
GPU clocks are limited by applications clocks setting. E.g. can be changed
using nvidia-smi --applications-clocks=
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=
HW Slowdown HW Slowdown (reducing the core clocks by a factor of 2 or more) is engaged.
HW Thermal Slowdown and HW Power Brake will be displayed on Pascal+.
This is an indicator of:
* Temperature being too high (HW Thermal Slowdown)
* External Power Brake Assertion is triggered (e.g. by the system power
supply) (HW Power Brake Slowdown)
* Power draw is too high and Fast Trigger protection is reducing the clocks
SW Thermal Slowdown
SW Thermal capping algorithm is reducing clocks below requested clocks
because GPU temperature is higher than Max Operating Temp
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 is affected by ECC state.
If ECC is enabled the total available 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
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 from the Fermi and Kepler family 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.
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.
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.
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 Core GPU temperature. For all discrete and S-class products.
T.Limit Temp Current margin in degrees Celsius from the maximum GPU operating
temperature.
Shutdown Temp The temperature at which a GPU will shutdown.
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.
Slowdown Temp The temperature at which a GPU HW will begin optimizing clocks due to
thermal conditions, in order to cool.
Slowdown T.Limit Temp
The T.Limit temperature below which a 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.
Max Operating Temp
The temperature at which GPU SW will optimize its clock for thermal
conditions.
Max Operating T.Limit Temp
The T.Limit temperature below which GPU SW will optimize its clock for
thermal conditions.
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. Please note that power readings are not
applicable for Pascal and higher GPUs with BA sensor boards.
Power State Power State is deprecated and has been renamed to Performance State in
2.285. To maintain XML compatibility, in XML format Performance State is
listed in both places.
Power Management
A flag that indicates whether power management is enabled. Either
"Supported" or "N/A". Requires Inforom PWR object version 3.0 or higher or
Kepler device.
Power Draw The last measured power draw for the entire board, in watts. Only
available if power management is supported. On Ampere (except GA100) or
newer devices, returns average power draw over 1 sec. On GA100 and older
devices, returns instantaneous power draw. Please note that for boards
without INA sensors, this refers to the power draw for the GPU and not for
the entire board.
Power Limit The software power limit, in watts. Set by software such as nvidia-smi.
Only available if power management is supported. Requires Inforom PWR
object version 3.0 or higher or Kepler device. On Kepler devices 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. Only available if power management is
supported. Requires a Kepler device. Please note that for boards without
INA sensors, it is the GPU power draw that is being manipulated.
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. Only on
supported devices from Kepler family.
Min Power Limit
The minimum value in watts that power limit can be set to. Only on
supported devices from Kepler family.
Max Power Limit
The maximum value in watts that power limit can be set to. Only on
supported devices from Kepler family.
Clocks
Current frequency at which parts of the GPU are running. All readings are in MHz.
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
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.
Max Clocks
Maximum frequency at which parts of the GPU are design to run. All readings are in MHz.
On GPUs from Fermi family 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.
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.
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.
Supported clocks
List of possible memory and graphics clocks combinations that the GPU can operate on (not
taking into account HW brake reduced clocks). These are the only clock combinations that
can be passed to --applications-clocks flag. Supported Clocks are listed only when -q -d
SUPPORTED_CLOCKS switches are provided or in XML format.
Voltage
Current voltage reported by the GPU. All units are in mV.
Graphics Current voltage of the graphics unit.
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> <PID> <Type> <Process Name> <GPU Memory Usage>"
GPU Index Represents NVML Index of the device.
PID Represents Process ID corresponding to the active Compute or Graphics
context.
Type Displayed as "C" for Compute Process, "G" for Graphics Process, and "C+G"
for the process having both Compute and Graphics contexts.
Process Name Represents process name for the Compute or Graphics process.
GPU Memory Usage
Amount of memory used on the device by the context. Not available on
Windows when running in WDDM mode because Windows KMD manages all the
memory not NVIDIA driver.
Stats (EXPERIMENTAL)
List GPU statistics such as power samples, utilization samples, xid events, clock change
events and violation counters.
Supported on Tesla, GRID and Quadro based products under Linux.
Limited to Kepler or newer GPUs.
Displays statistics in CSV format as follows:
<GPU device index>, <metric name>, <CPU Timestamp in us>, <value for metric>
The metrics to display with their units are as follows:
Power samples in Watts.
GPU Temperature samples in degrees Celsius.
GPU, Memory, Encoder, Decoder, JPEG and OFA utilization samples in Percentage.
Xid error events reported with Xid error code. The error code is 999 for unknown xid
error.
Processor and Memory clock changes in MHz.
Violation due to Power capping with violation time in ns. (Tesla Only)
Violation due to Thermal capping with violation boolean flag (1/0). (Tesla Only)
Notes:
Any statistic preceded by "#" is a comment.
Non supported device is displayed as "#<device Index>, Device not supported".
Non supported metric is displayed as "<device index>, <metric name>, N/A, N/A".
Violation due to Thermal/Power supported only for Tesla based products. Thermal Violations
are limited to Tesla K20 and higher.
Device Monitoring
The "nvidia-smi dmon" command-line is used to monitor one or more GPUs (up to 4 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 4 supported devices under natural enumeration (starting
with GPU index 0) at a frequency of 1 sec. Runs until terminated with ^C.
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 4 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
^C.
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) 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 4 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 4 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 ^C.
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 4 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 4 supported devices under
natural enumeration (starting with GPU index 0) at a frequency of 1 sec. Runs until
terminated with ^C.
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 4 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 and Decoder 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
^C. 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 (EXPERIMENTAL)
List topology information about the system's GPUs, how they connect to each other as well
as qualified NICs capable of RDMA.
Displays a matrix of available 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.
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, and Decoder 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 and Decoder) for each active vGPU since
last monitoring cycle. The default cycle time is 1 second, and the command runs until
terminated with ^C. 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 ^C. 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 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.
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.
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 boost sliders
nvidia-smi boost-slider -l
nvidia-smi boost-slider --list
List all boost sliders for the selected devices.
4) Set video boost slider
nvidia-smi boost-slider --vboost <value>
Set the video boost slider for the selected devices.
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.
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.
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 -i GPU-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 1215MHz, temperature at
-5C and profile ID at 1.
CHANGE LOG
=== Known Issues ===
* 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.
* On Linux GPU Reset can't be triggered when there is pending GOM change.
* On Linux GPU Reset may not successfully change pending ECC mode. A full reboot may be
required to enable the mode change.
* On Linux platforms that configure NVIDIA GPUs as NUMA nodes, enabling persistence mode
or resetting GPUs may print "Warning: persistence mode is disabled on device" if nvidia-
persistenced is not running, or if nvidia-persistenced cannot access files in the NVIDIA
driver's procfs directory for the device (/proc/driver/nvidia/gpus/<PCI Config Address>/).
During GPU reset and driver reload, this directory will be deleted and recreated, and
outstanding references to the deleted directory, such as mounts or shells, can prevent
processes from accessing files in the new directory.
* === 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 Flow Accelerator)
utilizations.
* Removed deprecated "stats" command.
* Added support to set the vGPU software scheduler state.
* Renamed counter collection unit to gpu performance monitoring.
* Added support to get confidential compute CPU capability and GPUs capability.
* Added support to set confidential compute unprotected memory and GPU ready state.
* Added support to get confidential compute memory info and GPU ready state.
* Added support to display confidential compute devtools mode, environment and feature
status.
* Added back clock_throttle_reasons to --query-gpu to not break backwards compatibility
* Added support to query the timestamp and duration of the latest flush of the BBX
object to the inforom storage.
* Added a new cmdline option "--sparse-operation-mode" to "nvidia-smi clocks" to set the
sparse operation mode
* Added the reporting of sparse operation mode to "nvidia-smi -q -d PERFORMANCE"
* === Changes between nvidia-smi v525 Update and v530 ===
* Added support to query power.draw.average and power.draw.instant. See nvidia-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 output
* === Changes between nvidia-smi v465 Update and v470 ===
* Added support to query power hint
* === Changes between nvidia-smi v460 Update and v465 ===
* Removed support for -acp,--application-clock-permissions option
* === Changes 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 slider
* === Changes between nvidia-smi v445 Update and v450 ===
* Added --lock-memory-clock and --reset-memory-clock command to lock to closest min/max
Memory clock provided and ability to reset Memory clock
* 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 a GPU instance
* Added support to query and disable MIG mode on Windows
* Removed support of GPU reset(-r) command on MIG enabled vGPU guests
* === Changes between nvidia-smi v418 Update and v445 ===
* Added support for Multi Instance GPU (MIG)
* Added support to individually reset NVLink-capable GPUs based on the NVIDIA Ampere
architecture
* === Changes between nvidia-smi v361 Update and v418 ===
* Support for Volta and Turing architectures, bug fixes, performance improvements, and
new features
* === Changes between nvidia-smi v352 Update and v361 ===
* Added nvlink support to expose the publicly available NVLINK NVML APIs
* 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 Replay Errors
* 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 Clocks display of nvidia-smi
-q
* Added memory temperature output to nvidia-smi dmon
* Added --lock-gpu-clock and --reset-gpu-clock command to lock to closest min/max GPU
clock provided and reset clock
* Added --cuda-clocks to override or restore default CUDA clocks
=== Changes 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 in scrolling format
* Added "--debug" option to produce an encrypted debug log for use in submission of bugs
back to NVIDIA
* Fixed reporting of Used/Free memory under Windows WDDM mode
* The accounting stats is updated to include both running and terminated processes. The
execution time of running process is reported as 0 and updated to actual value when the
process is terminated.
=== 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 as a daemon
process. Generates dated log files at /var/log/nvstats/
* Added replay command-line to replay/extract the stat files generated by the daemon
tool
=== Changes 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 -d power,utilization, clock
* Added nvidia-smi stats interface to collect statistics such as power, utilization,
clock changes, xid events and perf capping counters with a notion of time attached to each
sample. Example commandline: nvidia-smi stats
* Added support for collectively reporting metrics on more than one GPU. 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 GPUDirect communication matrix
(EXPERIMENTAL)
* Added support for displayed the GPU board ID and whether or not it is a multiGPU board
* Removed user-defined throttle reason from XML output
=== Changes 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 change permission requirements
for setting and resetting applications clocks.
=== Changes between nvidia-smi v4.304 and v4.319 Production ===
* Added reporting of Display Active state and updated documentation to clarify how it
differs from Display Mode and Display Active state
* For consistency on multi-GPU boards nvidia-smi -L always displays UUID instead of
serial number
* Added machine readable selective reporting. See SELECTIVE QUERY OPTIONS 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 Applications Clocks Setting
* On error, return codes have distinct non zero values for each error class. See RETURN
VALUE section
* nvidia-smi -i can now query information from healthy GPU when there is a problem with
other GPU in the system
* All messages that point to a problem with a GPU print pci bus id of a GPU at fault
* New flag --loop-ms for querying information at higher rates than once a 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 output
=== Changes 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 Mode
=== Changes between nvidia-smi v3.295 and v4.304 RC ===
* Reformatted non-verbose output due to user feedback. Removed pending information from
table.
* Print out helpful message if initialization fails due to kernel module not receiving
interrupts
* Better error handling when NVML shared library is not present in the system
* Added new --applications-clocks switch
* Added new filter to --display switch. Run with -d SUPPORTED_CLOCKS to list possible
clocks on a GPU
* When reporting free memory, calculate it from the rounded total and used memory so
that values add up
* Added reporting of power management limit constraints and default limit
* Added new --power-limit switch
* Added reporting of texture memory ECC errors
* Added reporting of Clock Throttle Reasons
=== Changes between nvidia-smi v2.285 and v3.295 ===
* Clearer error reporting for running commands (like changing compute mode)
* When running commands on multiple GPUs at once N/A errors are treated as warnings.
* nvidia-smi -i now also supports UUID
* UUID format changed to match UUID standard and will report a different 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 link width (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 version of -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 visible in 280)
* Parsing of busId for -i command is less restrictive. You can pass 0:2:0.0 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 exists in XML output
only.
* Updated DTD version number to 2.0 to match the updated XML output
SEE ALSO
On Linux, the driver README is installed as /usr/share/doc/NVIDIA_GLX-1.0/README.txt
AUTHOR
NVIDIA Corporation
COPYRIGHT
Copyright 2011-2024 NVIDIA Corporation.