NVML API Reference Guide :: GPU Deployment and Management Documentation

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2.27. Multi Instance GPU Management

This chapter describes NVML operations that are associated with Multi Instance GPU management.

Classes

struct nvmlComputeInstanceProfileInfo_t
struct nvmlComputeInstanceProfileInfo_v2_t
struct nvmlGpuInstanceProfileInfo_t
struct nvmlGpuInstanceProfileInfo_v2_t

Defines

#define NVML_COMPUTE_INSTANCE_ENGINE_PROFILE_SHARED 0x0: All the engines except multiprocessors would be shared.
#define NVML_COMPUTE_INSTANCE_PROFILE_1_SLICE 0x0
#define NVML_DEVICE_MIG_DISABLE 0x0
#define NVML_DEVICE_MIG_ENABLE 0x1
#define NVML_GPU_INSTANCE_PROFILE_1_SLICE 0x0
#define nvmlComputeInstanceProfileInfo_v2
#define nvmlGpuInstanceProfileInfo_v2

Functions

nvmlReturn_t nvmlComputeInstanceDestroy ( nvmlComputeInstance_t computeInstance )
nvmlReturn_t nvmlComputeInstanceGetInfo_v2 ( nvmlComputeInstance_t computeInstance, nvmlComputeInstanceInfo_t* info )
nvmlReturn_t nvmlDeviceCreateGpuInstance ( nvmlDevice_t device, unsigned int profileId, nvmlGpuInstance_t* gpuInstance )
nvmlReturn_t nvmlDeviceCreateGpuInstanceWithPlacement ( nvmlDevice_t device, unsigned int profileId, const nvmlGpuInstancePlacement_t* placement, nvmlGpuInstance_t* gpuInstance )
nvmlReturn_t nvmlDeviceGetBusType ( nvmlDevice_t device, nvmlBusType_t* type )
nvmlReturn_t nvmlDeviceGetComputeInstanceId ( nvmlDevice_t device, unsigned int* id )
nvmlReturn_t nvmlDeviceGetDeviceHandleFromMigDeviceHandle ( nvmlDevice_t migDevice, nvmlDevice_t* device )
nvmlReturn_t nvmlDeviceGetDynamicPstatesInfo ( nvmlDevice_t device, nvmlGpuDynamicPstatesInfo_t* pDynamicPstatesInfo )
nvmlReturn_t nvmlDeviceGetGpcClkVfOffset ( nvmlDevice_t device, int* offset )
nvmlReturn_t nvmlDeviceGetGpuInstanceById ( nvmlDevice_t device, unsigned int id, nvmlGpuInstance_t* gpuInstance )
nvmlReturn_t nvmlDeviceGetGpuInstanceId ( nvmlDevice_t device, unsigned int* id )
nvmlReturn_t nvmlDeviceGetGpuInstancePossiblePlacements_v2 ( nvmlDevice_t device, unsigned int profileId, nvmlGpuInstancePlacement_t* placements, unsigned int* count )
nvmlReturn_t nvmlDeviceGetGpuInstanceProfileInfo ( nvmlDevice_t device, unsigned int profile, nvmlGpuInstanceProfileInfo_t* info )
nvmlReturn_t nvmlDeviceGetGpuInstanceProfileInfoV ( nvmlDevice_t device, unsigned int profile, nvmlGpuInstanceProfileInfo_v2_t* info )
nvmlReturn_t nvmlDeviceGetGpuInstanceRemainingCapacity ( nvmlDevice_t device, unsigned int profileId, unsigned int* count )
nvmlReturn_t nvmlDeviceGetGpuInstances ( nvmlDevice_t device, unsigned int profileId, nvmlGpuInstance_t* gpuInstances, unsigned int* count )
nvmlReturn_t nvmlDeviceGetMaxMigDeviceCount ( nvmlDevice_t device, unsigned int* count )
nvmlReturn_t nvmlDeviceGetMigDeviceHandleByIndex ( nvmlDevice_t device, unsigned int index, nvmlDevice_t* migDevice )
nvmlReturn_t nvmlDeviceGetMigMode ( nvmlDevice_t device, unsigned int* currentMode, unsigned int* pendingMode )
nvmlReturn_t nvmlDeviceGetMinMaxClockOfPState ( nvmlDevice_t device, nvmlClockType_t type, nvmlPstates_t pstate, unsigned int* minClockMHz, unsigned int* maxClockMHz )
nvmlReturn_t nvmlDeviceGetSupportedPerformanceStates ( nvmlDevice_t device, nvmlPstates_t* pstates, unsigned int size )
nvmlReturn_t nvmlDeviceIsMigDeviceHandle ( nvmlDevice_t device, unsigned int* isMigDevice )
nvmlReturn_t nvmlDeviceSetFanSpeed_v2 ( nvmlDevice_t device, unsigned int fan, unsigned int speed )
nvmlReturn_t nvmlDeviceSetGpcClkVfOffset ( nvmlDevice_t device, int offset )
nvmlReturn_t nvmlDeviceSetMigMode ( nvmlDevice_t device, unsigned int mode, nvmlReturn_t* activationStatus )
nvmlReturn_t nvmlGpuInstanceCreateComputeInstance ( nvmlGpuInstance_t gpuInstance, unsigned int profileId, nvmlComputeInstance_t* computeInstance )
nvmlReturn_t nvmlGpuInstanceDestroy ( nvmlGpuInstance_t gpuInstance )
nvmlReturn_t nvmlGpuInstanceGetComputeInstanceById ( nvmlGpuInstance_t gpuInstance, unsigned int id, nvmlComputeInstance_t* computeInstance )
nvmlReturn_t nvmlGpuInstanceGetComputeInstanceProfileInfo ( nvmlGpuInstance_t gpuInstance, unsigned int profile, unsigned int engProfile, nvmlComputeInstanceProfileInfo_t* info )
nvmlReturn_t nvmlGpuInstanceGetComputeInstanceProfileInfoV ( nvmlGpuInstance_t gpuInstance, unsigned int profile, unsigned int engProfile, nvmlComputeInstanceProfileInfo_v2_t* info )
nvmlReturn_t nvmlGpuInstanceGetComputeInstanceRemainingCapacity ( nvmlGpuInstance_t gpuInstance, unsigned int profileId, unsigned int* count )
nvmlReturn_t nvmlGpuInstanceGetComputeInstances ( nvmlGpuInstance_t gpuInstance, unsigned int profileId, nvmlComputeInstance_t* computeInstances, unsigned int* count )
nvmlReturn_t nvmlGpuInstanceGetInfo ( nvmlGpuInstance_t gpuInstance, nvmlGpuInstanceInfo_t* info )

Defines

#define NVML_COMPUTE_INSTANCE_ENGINE_PROFILE_SHARED 0x0
#define NVML_COMPUTE_INSTANCE_PROFILE_1_SLICE 0x0: Compute instance profiles.

These macros should be passed to nvmlGpuInstanceGetComputeInstanceProfileInfo to retrieve the detailed information about a compute instance such as profile ID, engine counts
#define NVML_DEVICE_MIG_DISABLE 0x0: Disable Multi Instance GPU mode.
#define NVML_DEVICE_MIG_ENABLE 0x1: Enable Multi Instance GPU mode.
#define NVML_GPU_INSTANCE_PROFILE_1_SLICE 0x0: GPU instance profiles.

These macros should be passed to nvmlDeviceGetGpuInstanceProfileInfo to retrieve the detailed information about a GPU instance such as profile ID, engine counts.
#define nvmlComputeInstanceProfileInfo_v2: Version identifier value for nvmlComputeInstanceProfileInfo_v2_t::version.

Value

NVML_STRUCT_VERSION(ComputeInstanceProfileInfo, 2)
#define nvmlGpuInstanceProfileInfo_v2: Version identifier value for nvmlGpuInstanceProfileInfo_v2_t::version.

Value

NVML_STRUCT_VERSION(GpuInstanceProfileInfo, 2)

Functions

nvmlReturn_t nvmlComputeInstanceDestroy ( nvmlComputeInstance_t computeInstance )

Parameters

computeInstance: The compute instance handle

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If computeInstance is invalid
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation
NVML_ERROR_IN_USE If the compute instance is in use. This error would be returned if processes (e.g. CUDA application) are active on the compute instance.

Description

Destroy compute instance.

For Ampere or newer fully supported devices. Supported on Linux only. Requires privileged user.

nvmlReturn_t nvmlComputeInstanceGetInfo_v2 ( nvmlComputeInstance_t computeInstance, nvmlComputeInstanceInfo_t* info )

Parameters

computeInstance: The compute instance handle
info: Return compute instance information

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If computeInstance or info are invalid
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation

Description

Get compute instance information.

For Ampere or newer fully supported devices. Supported on Linux only.

nvmlReturn_t nvmlDeviceCreateGpuInstance ( nvmlDevice_t device, unsigned int profileId, nvmlGpuInstance_t* gpuInstance )

Parameters

device: The identifier of the target device
profileId: The GPU instance profile ID. See nvmlDeviceGetGpuInstanceProfileInfo
gpuInstance: Returns the GPU instance handle

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If device, profile, profileId or gpuInstance are invalid
NVML_ERROR_NOT_SUPPORTED If device doesn't have MIG mode enabled or in vGPU guest
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation
NVML_ERROR_INSUFFICIENT_RESOURCES If the requested GPU instance could not be created

Description

Create GPU instance.

For Ampere or newer fully supported devices. Supported on Linux only. Requires privileged user.

If the parent device is unbound, reset or the GPU instance is destroyed explicitly, the GPU instance handle would become invalid. The GPU instance must be recreated to acquire a valid handle.

nvmlReturn_t nvmlDeviceCreateGpuInstanceWithPlacement ( nvmlDevice_t device, unsigned int profileId, const nvmlGpuInstancePlacement_t* placement, nvmlGpuInstance_t* gpuInstance )

Parameters

device: The identifier of the target device
profileId: The GPU instance profile ID. See nvmlDeviceGetGpuInstanceProfileInfo
placement: The requested placement. See nvmlDeviceGetGpuInstancePossiblePlacements_v2
gpuInstance: Returns the GPU instance handle

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If device, profile, profileId, placement or gpuInstance are invalid
NVML_ERROR_NOT_SUPPORTED If device doesn't have MIG mode enabled or in vGPU guest
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation
NVML_ERROR_INSUFFICIENT_RESOURCES If the requested GPU instance could not be created

Description

Create GPU instance with the specified placement.

For Ampere or newer fully supported devices. Supported on Linux only. Requires privileged user.

If the parent device is unbound, reset or the GPU instance is destroyed explicitly, the GPU instance handle would become invalid. The GPU instance must be recreated to acquire a valid handle.

nvmlReturn_t nvmlDeviceGetBusType ( nvmlDevice_t device, nvmlBusType_t* type )

Parameters

device: The identifier of the target device
type: The PCI Bus type

Description

Get the type of the GPU Bus (PCIe, PCI, ...)

return

NVML_SUCCESS if the bus type is successfully retreived
NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT if is invalid or is NULL
NVML_ERROR_UNKNOWN on any unexpected error

nvmlReturn_t nvmlDeviceGetComputeInstanceId ( nvmlDevice_t device, unsigned int* id )

Parameters

device: Target MIG device handle
id: Compute instance ID

Returns

NVML_SUCCESS if instance ID was successfully retrieved
NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT if device or id reference is invalid
NVML_ERROR_NOT_SUPPORTED if this query is not supported by the device
NVML_ERROR_UNKNOWN on any unexpected error

Description

Get compute instance ID for the given MIG device handle.

Compute instance IDs are unique per GPU instance and remain valid until the compute instance is destroyed.

For Ampere or newer fully supported devices. Supported on Linux only.

nvmlReturn_t nvmlDeviceGetDeviceHandleFromMigDeviceHandle ( nvmlDevice_t migDevice, nvmlDevice_t* device )

Parameters

migDevice: MIG device handle
device: Device handle

Returns

NVML_SUCCESS if device handle was successfully created
NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT if migDevice or device is invalid
NVML_ERROR_NOT_SUPPORTED if this query is not supported by the device
NVML_ERROR_UNKNOWN on any unexpected error

Description

Get parent device handle from a MIG device handle.

For Ampere or newer fully supported devices. Supported on Linux only.

nvmlReturn_t nvmlDeviceGetDynamicPstatesInfo ( nvmlDevice_t device, nvmlGpuDynamicPstatesInfo_t* pDynamicPstatesInfo )

Parameters

device
pDynamicPstatesInfo

Returns

NVML_SUCCESS if pDynamicPstatesInfo has been set
NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT if device is invalid or pDynamicPstatesInfo is NULL
NVML_ERROR_NOT_SUPPORTED if the device does not support this feature
NVML_ERROR_GPU_IS_LOST if the target GPU has fallen off the bus or is otherwise inaccessible
NVML_ERROR_UNKNOWN on any unexpected error

Description

Retrieve performance monitor samples from the associated subdevice.

nvmlReturn_t nvmlDeviceGetGpcClkVfOffset ( nvmlDevice_t device, int* offset )

Parameters

device: The identifier of the target device
offset: The retrieved GPCCLK VF offset value

Returns

NVML_SUCCESS if offset has been successfully queried
NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT if device is invalid or offset is NULL
NVML_ERROR_NOT_SUPPORTED if the device does not support this feature
NVML_ERROR_UNKNOWN on any unexpected error

Description

Retrieve the GPCCLK VF offset value

nvmlReturn_t nvmlDeviceGetGpuInstanceById ( nvmlDevice_t device, unsigned int id, nvmlGpuInstance_t* gpuInstance )

Parameters

device: The identifier of the target device
id: The GPU instance ID
gpuInstance: Returns GPU instance

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If device, id or gpuInstance are invalid
NVML_ERROR_NOT_SUPPORTED If device doesn't have MIG mode enabled
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation
NVML_ERROR_NOT_FOUND If the GPU instance is not found.

Description

Get GPU instances for given instance ID.

For Ampere or newer fully supported devices. Supported on Linux only. Requires privileged user.

nvmlReturn_t nvmlDeviceGetGpuInstanceId ( nvmlDevice_t device, unsigned int* id )

Parameters

device: Target MIG device handle
id: GPU instance ID

Returns

NVML_SUCCESS if instance ID was successfully retrieved
NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT if device or id reference is invalid
NVML_ERROR_NOT_SUPPORTED if this query is not supported by the device
NVML_ERROR_UNKNOWN on any unexpected error

Description

Get GPU instance ID for the given MIG device handle.

GPU instance IDs are unique per device and remain valid until the GPU instance is destroyed.

For Ampere or newer fully supported devices. Supported on Linux only.

nvmlReturn_t nvmlDeviceGetGpuInstancePossiblePlacements_v2 ( nvmlDevice_t device, unsigned int profileId, nvmlGpuInstancePlacement_t* placements, unsigned int* count )

Parameters

device: The identifier of the target device
profileId: The GPU instance profile ID. See nvmlDeviceGetGpuInstanceProfileInfo
placements: Returns placements allowed for the profile. Can be NULL to discover number of allowed placements for this profile. If non-NULL must be large enough to accommodate the placements supported by the profile.
count: Returns number of allowed placemenets for the profile.

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If device, profileId or count are invalid
NVML_ERROR_NOT_SUPPORTED If device doesn't have MIG mode enabled or profileId isn't supported
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation

Description

Get GPU instance placements.

A placement represents the location of a GPU instance within a device. This API only returns all the possible placements for the given profile. A created GPU instance occupies memory slices described by its placement. Creation of new GPU instance will fail if there is overlap with the already occupied memory slices.

For Ampere or newer fully supported devices. Supported on Linux only. Requires privileged user.

nvmlReturn_t nvmlDeviceGetGpuInstanceProfileInfo ( nvmlDevice_t device, unsigned int profile, nvmlGpuInstanceProfileInfo_t* info )

Parameters

device: The identifier of the target device
profile: One of the NVML_GPU_INSTANCE_PROFILE_*
info: Returns detailed profile information

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If device, profile or info are invalid
NVML_ERROR_NOT_SUPPORTED If device doesn't have MIG mode enabled or profile isn't supported
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation

Description

Get GPU instance profile information.

Information provided by this API is immutable throughout the lifetime of a MIG mode.

For Ampere or newer fully supported devices. Supported on Linux only.

nvmlReturn_t nvmlDeviceGetGpuInstanceProfileInfoV ( nvmlDevice_t device, unsigned int profile, nvmlGpuInstanceProfileInfo_v2_t* info )

Parameters

device: The identifier of the target device
profile: One of the NVML_GPU_INSTANCE_PROFILE_*
info: Returns detailed profile information

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If device, profile, info, or info->version are invalid
NVML_ERROR_NOT_SUPPORTED If device doesn't have MIG mode enabled or profile isn't supported
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation

Description

Versioned wrapper around nvmlDeviceGetGpuInstanceProfileInfo that accepts a versioned nvmlGpuInstanceProfileInfo_v2_t or later output structure.

Note:

The caller must set the nvmlGpuInstanceProfileInfo_v2_t::version field to the appropriate version prior to calling this function. For example:

‎     nvmlGpuInstanceProfileInfo_v2_t profileInfo =
               { .version = nvmlGpuInstanceProfileInfo_v2 };
           nvmlReturn_t result = nvmlDeviceGetGpuInstanceProfileInfoV(device,
                                                                      profile,
                                                                      &profileInfo);

For Ampere or newer fully supported devices. Supported on Linux only.

nvmlReturn_t nvmlDeviceGetGpuInstanceRemainingCapacity ( nvmlDevice_t device, unsigned int profileId, unsigned int* count )

Parameters

device: The identifier of the target device
profileId: The GPU instance profile ID. See nvmlDeviceGetGpuInstanceProfileInfo
count: Returns remaining instance count for the profile ID

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If device, profileId or count are invalid
NVML_ERROR_NOT_SUPPORTED If device doesn't have MIG mode enabled or profileId isn't supported
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation

Description

Get GPU instance profile capacity.

For Ampere or newer fully supported devices. Supported on Linux only. Requires privileged user.

nvmlReturn_t nvmlDeviceGetGpuInstances ( nvmlDevice_t device, unsigned int profileId, nvmlGpuInstance_t* gpuInstances, unsigned int* count )

Parameters

device: The identifier of the target device
profileId: The GPU instance profile ID. See nvmlDeviceGetGpuInstanceProfileInfo
gpuInstances: Returns pre-exiting GPU instances, the buffer must be large enough to accommodate the instances supported by the profile. See nvmlDeviceGetGpuInstanceProfileInfo
count: The count of returned GPU instances

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If device, profileId, gpuInstances or count are invalid
NVML_ERROR_NOT_SUPPORTED If device doesn't have MIG mode enabled
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation

Description

Get GPU instances for given profile ID.

For Ampere or newer fully supported devices. Supported on Linux only. Requires privileged user.

nvmlReturn_t nvmlDeviceGetMaxMigDeviceCount ( nvmlDevice_t device, unsigned int* count )

Parameters

device: Target device handle
count: Count of MIG devices

Returns

NVML_SUCCESS if count was successfully retrieved
NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT if device or count reference is invalid
NVML_ERROR_UNKNOWN on any unexpected error

Description

Get the maximum number of MIG devices that can exist under a given parent NVML device.

Returns zero if MIG is not supported or enabled.

For Ampere or newer fully supported devices. Supported on Linux only.

nvmlReturn_t nvmlDeviceGetMigDeviceHandleByIndex ( nvmlDevice_t device, unsigned int index, nvmlDevice_t* migDevice )

Parameters

device: Reference to the parent GPU device handle
index: Index of the MIG device
migDevice: Reference to the MIG device handle

Returns

NVML_SUCCESS if migDevice handle was successfully created
NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT if device, index or migDevice reference is invalid
NVML_ERROR_NOT_SUPPORTED if this query is not supported by the device
NVML_ERROR_NOT_FOUND if no valid MIG device was found at index
NVML_ERROR_UNKNOWN on any unexpected error

Description

Get MIG device handle for the given index under its parent NVML device.

If the compute instance is destroyed either explicitly or by destroying, resetting or unbinding the parent GPU instance or the GPU device itself the MIG device handle would remain invalid and must be requested again using this API. Handles may be reused and their properties can change in the process.

For Ampere or newer fully supported devices. Supported on Linux only.

nvmlReturn_t nvmlDeviceGetMigMode ( nvmlDevice_t device, unsigned int* currentMode, unsigned int* pendingMode )

Parameters

device: The identifier of the target device
currentMode: Returns the current mode, NVML_DEVICE_MIG_DISABLE or NVML_DEVICE_MIG_ENABLE
pendingMode: Returns the pending mode, NVML_DEVICE_MIG_DISABLE or NVML_DEVICE_MIG_ENABLE

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If device, currentMode or pendingMode are invalid
NVML_ERROR_NOT_SUPPORTED If device doesn't support MIG mode

Description

Get MIG mode for the device.

For Ampere or newer fully supported devices.

Changing MIG modes may require device unbind or reset. The "pending" MIG mode refers to the target mode following the next activation trigger.

nvmlReturn_t nvmlDeviceGetMinMaxClockOfPState ( nvmlDevice_t device, nvmlClockType_t type, nvmlPstates_t pstate, unsigned int* minClockMHz, unsigned int* maxClockMHz )

Parameters

device: The identifier of the target device
type: Clock domain
pstate: PState to query
minClockMHz: Reference in which to return min clock frequency
maxClockMHz: Reference in which to return max clock frequency

Returns

NVML_SUCCESS if everything worked
NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT if device, type or pstate are invalid or both minClockMHz and maxClockMHz are NULL
NVML_ERROR_NOT_SUPPORTED if the device does not support this feature

Description

Retrieve min and max clocks of some clock domain for a given PState

nvmlReturn_t nvmlDeviceGetSupportedPerformanceStates ( nvmlDevice_t device, nvmlPstates_t* pstates, unsigned int size )

Parameters

device: The identifier of the target device
pstates: Container to return the list of performance states supported by device
size: Size of the supplied pstates array in bytes

Returns

NVML_SUCCESS if pstates array has been retrieved
NVML_ERROR_INSUFFICIENT_SIZE if the the container supplied was not large enough to hold the resulting list
NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT if device or pstates is invalid
NVML_ERROR_NOT_SUPPORTED if the device does not support performance state readings
NVML_ERROR_UNKNOWN on any unexpected error

Description

Get all supported Performance States (P-States) for the device.

The returned array would contain a contiguous list of valid P-States supported by the device. If the number of supported P-States is fewer than the size of the array supplied missing elements would contain NVML_PSTATE_UNKNOWN.

The number of elements in the returned list will never exceed NVML_MAX_GPU_PERF_PSTATES.

nvmlReturn_t nvmlDeviceIsMigDeviceHandle ( nvmlDevice_t device, unsigned int* isMigDevice )

Parameters

device: NVML handle to test
isMigDevice: True when handle refers to a MIG device

Returns

NVML_SUCCESS if device status was successfully retrieved
NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT if device handle or isMigDevice reference is invalid
NVML_ERROR_NOT_SUPPORTED if this check is not supported by the device
NVML_ERROR_UNKNOWN on any unexpected error

Description

Test if the given handle refers to a MIG device.

A MIG device handle is an NVML abstraction which maps to a MIG compute instance. These overloaded references can be used (with some restrictions) interchangeably with a GPU device handle to execute queries at a per-compute instance granularity.

For Ampere or newer fully supported devices. Supported on Linux only.

nvmlReturn_t nvmlDeviceSetFanSpeed_v2 ( nvmlDevice_t device, unsigned int fan, unsigned int speed )

Description

Sets the speed of a specified fan.

WARNING: This function changes the fan control policy to manual. It means that YOU have to monitor the temperature and adjust the fan speed accordingly. If you set the fan speed too low you can burn your GPU! Use nvmlDeviceSetDefaultFanSpeed_v2 to restore default control policy.

For all cuda-capable discrete products with fans that are Maxwell or Newer.

device The identifier of the target device fan The index of the fan, starting at zero speed The target speed of the fan [0-100] in % of max speed

return NVML_SUCCESS if the fan speed has been set NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized NVML_ERROR_INVALID_ARGUMENT if the device is not valid, or the speed is outside acceptable ranges, or if the fan index doesn't reference an actual fan. NVML_ERROR_NOT_SUPPORTED if the device is older than Maxwell. NVML_ERROR_UNKNOWN if there was an unexpected error.

nvmlReturn_t nvmlDeviceSetGpcClkVfOffset ( nvmlDevice_t device, int offset )

Parameters

device: The identifier of the target device
offset: The GPCCLK VF offset value to set

Returns

NVML_SUCCESS if offset has been set
NVML_ERROR_UNINITIALIZED if the library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT if device is invalid or offset is NULL
NVML_ERROR_NOT_SUPPORTED if the device does not support this feature
NVML_ERROR_GPU_IS_LOST if the target GPU has fallen off the bus or is otherwise inaccessible
NVML_ERROR_UNKNOWN on any unexpected error

Description

Set the GPCCLK VF offset value

nvmlReturn_t nvmlDeviceSetMigMode ( nvmlDevice_t device, unsigned int mode, nvmlReturn_t* activationStatus )

Parameters

device: The identifier of the target device
mode: The mode to be set, NVML_DEVICE_MIG_DISABLE or NVML_DEVICE_MIG_ENABLE
activationStatus: The activationStatus status

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If device,mode or activationStatus are invalid
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation
NVML_ERROR_NOT_SUPPORTED If device doesn't support MIG mode

Description

Set MIG mode for the device.

For Ampere or newer fully supported devices. Requires root user.

This mode determines whether a GPU instance can be created.

This API may unbind or reset the device to activate the requested mode. Thus, the attributes associated with the device, such as minor number, might change. The caller of this API is expected to query such attributes again.

On certain platforms like pass-through virtualization, where reset functionality may not be exposed directly, VM reboot is required. activationStatus would return NVML_ERROR_RESET_REQUIRED for such cases.

activationStatus would return the appropriate error code upon unsuccessful activation. For example, if device unbind fails because the device isn't idle, NVML_ERROR_IN_USE would be returned. The caller of this API is expected to idle the device and retry setting the mode.

Note:

On Windows, only disabling MIG mode is supported. activationStatus would return NVML_ERROR_NOT_SUPPORTED as GPU reset is not supported on Windows through this API.

nvmlReturn_t nvmlGpuInstanceCreateComputeInstance ( nvmlGpuInstance_t gpuInstance, unsigned int profileId, nvmlComputeInstance_t* computeInstance )

Parameters

gpuInstance: The identifier of the target GPU instance
profileId: The compute instance profile ID. See nvmlGpuInstanceGetComputeInstanceProfileInfo
computeInstance: Returns the compute instance handle

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If gpuInstance, profile, profileId or computeInstance are invalid
NVML_ERROR_NOT_SUPPORTED If profileId isn't supported
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation
NVML_ERROR_INSUFFICIENT_RESOURCES If the requested compute instance could not be created

Description

Create compute instance.

For Ampere or newer fully supported devices. Supported on Linux only. Requires privileged user.

If the parent device is unbound, reset or the parent GPU instance is destroyed or the compute instance is destroyed explicitly, the compute instance handle would become invalid. The compute instance must be recreated to acquire a valid handle.

nvmlReturn_t nvmlGpuInstanceDestroy ( nvmlGpuInstance_t gpuInstance )

Parameters

gpuInstance: The GPU instance handle

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If gpuInstance is invalid
NVML_ERROR_NOT_SUPPORTED If device doesn't have MIG mode enabled or in vGPU guest
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation
NVML_ERROR_IN_USE If the GPU instance is in use. This error would be returned if processes (e.g. CUDA application) or compute instances are active on the GPU instance.

Description

Destroy GPU instance.

For Ampere or newer fully supported devices. Supported on Linux only. Requires privileged user.

nvmlReturn_t nvmlGpuInstanceGetComputeInstanceById ( nvmlGpuInstance_t gpuInstance, unsigned int id, nvmlComputeInstance_t* computeInstance )

Parameters

gpuInstance: The identifier of the target GPU instance
id: The compute instance ID
computeInstance: Returns compute instance

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If device, ID or computeInstance are invalid
NVML_ERROR_NOT_SUPPORTED If device doesn't have MIG mode enabled
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation
NVML_ERROR_NOT_FOUND If the compute instance is not found.

Description

Get compute instance for given instance ID.

For Ampere or newer fully supported devices. Supported on Linux only. Requires privileged user.

nvmlReturn_t nvmlGpuInstanceGetComputeInstanceProfileInfo ( nvmlGpuInstance_t gpuInstance, unsigned int profile, unsigned int engProfile, nvmlComputeInstanceProfileInfo_t* info )

Parameters

gpuInstance: The identifier of the target GPU instance
profile: One of the NVML_COMPUTE_INSTANCE_PROFILE_*
engProfile: One of the NVML_COMPUTE_INSTANCE_ENGINE_PROFILE_*
info: Returns detailed profile information

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If gpuInstance, profile, engProfile or info are invalid
NVML_ERROR_NOT_SUPPORTED If profile isn't supported
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation

Description

Get compute instance profile information.

Information provided by this API is immutable throughout the lifetime of a MIG mode.

For Ampere or newer fully supported devices. Supported on Linux only.

nvmlReturn_t nvmlGpuInstanceGetComputeInstanceProfileInfoV ( nvmlGpuInstance_t gpuInstance, unsigned int profile, unsigned int engProfile, nvmlComputeInstanceProfileInfo_v2_t* info )

Parameters

gpuInstance: The identifier of the target GPU instance
profile: One of the NVML_COMPUTE_INSTANCE_PROFILE_*
engProfile: One of the NVML_COMPUTE_INSTANCE_ENGINE_PROFILE_*
info: Returns detailed profile information

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If gpuInstance, profile, engProfile, info, or info->version are invalid
NVML_ERROR_NOT_SUPPORTED If profile isn't supported
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation

Description

Versioned wrapper around nvmlGpuInstanceGetComputeInstanceProfileInfo that accepts a versioned nvmlComputeInstanceProfileInfo_v2_t or later output structure.

Note:

The caller must set the nvmlGpuInstanceProfileInfo_v2_t::version field to the appropriate version prior to calling this function. For example:

‎     nvmlComputeInstanceProfileInfo_v2_t profileInfo =
               { .version = nvmlComputeInstanceProfileInfo_v2 };
           nvmlReturn_t result = nvmlGpuInstanceGetComputeInstanceProfileInfoV(gpuInstance,
                                                                               profile,
                                                                               engProfile,
                                                                               &profileInfo);

For Ampere or newer fully supported devices. Supported on Linux only.

nvmlReturn_t nvmlGpuInstanceGetComputeInstanceRemainingCapacity ( nvmlGpuInstance_t gpuInstance, unsigned int profileId, unsigned int* count )

Parameters

gpuInstance: The identifier of the target GPU instance
profileId: The compute instance profile ID. See nvmlGpuInstanceGetComputeInstanceProfileInfo
count: Returns remaining instance count for the profile ID

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If gpuInstance, profileId or availableCount are invalid
NVML_ERROR_NOT_SUPPORTED If profileId isn't supported
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation

Description

Get compute instance profile capacity.

For Ampere or newer fully supported devices. Supported on Linux only. Requires privileged user.

nvmlReturn_t nvmlGpuInstanceGetComputeInstances ( nvmlGpuInstance_t gpuInstance, unsigned int profileId, nvmlComputeInstance_t* computeInstances, unsigned int* count )

Parameters

gpuInstance: The identifier of the target GPU instance
profileId: The compute instance profile ID. See nvmlGpuInstanceGetComputeInstanceProfileInfo
computeInstances: Returns pre-exiting compute instances, the buffer must be large enough to accommodate the instances supported by the profile. See nvmlGpuInstanceGetComputeInstanceProfileInfo
count: The count of returned compute instances

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If gpuInstance, profileId, computeInstances or count are invalid
NVML_ERROR_NOT_SUPPORTED If profileId isn't supported
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation

Description

Get compute instances for given profile ID.

For Ampere or newer fully supported devices. Supported on Linux only. Requires privileged user.

nvmlReturn_t nvmlGpuInstanceGetInfo ( nvmlGpuInstance_t gpuInstance, nvmlGpuInstanceInfo_t* info )

Parameters

gpuInstance: The GPU instance handle
info: Return GPU instance information

Returns

NVML_SUCCESS Upon success
NVML_ERROR_UNINITIALIZED If library has not been successfully initialized
NVML_ERROR_INVALID_ARGUMENT If gpuInstance or info are invalid
NVML_ERROR_NO_PERMISSION If user doesn't have permission to perform the operation

Description

Get GPU instance information.

For Ampere or newer fully supported devices. Supported on Linux only.

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NVML API Reference Guide (PDF) - vR515 (older) - Last updated May 4, 2022 - Send Feedback

2.27. Multi Instance GPU Management

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