AcceleratorSelection
Describes a specific GPU accelerator required for an Amazon Elastic Compute Cloud worker host.
Contents
- name
-
The name of the chip used by the GPU accelerator.
The available GPU accelerators are:
-
t4- NVIDIA T4 Tensor Core GPU (16 GiB memory) -
a10g- NVIDIA A10G Tensor Core GPU (24 GiB memory) -
l4- NVIDIA L4 Tensor Core GPU (24 GiB memory) -
l40s- NVIDIA L40S Tensor Core GPU (48 GiB memory)
Type: String
Valid Values:
t4 | a10g | l4 | l40sRequired: Yes
-
- runtime
-
Specifies the runtime driver to use for the GPU accelerator. You must use the same runtime for all GPUs in a fleet.
You can choose from the following runtimes:
-
latest- Use the latest runtime available for the chip. If you specifylatestand a new version of the runtime is released, the new version of the runtime is used. -
grid:r570- NVIDIA vGPU software 18 -
grid:r535- NVIDIA vGPU software 16
If you don't specify a runtime, AWS Deadline Cloud uses
latestas the default. However, if you have multiple accelerators and specifylatestfor some and leave others blank, AWS Deadline Cloud raises an exception.Important
Not all runtimes are compatible with all accelerator types:
-
t4anda10g: Support all runtimes (grid:r570,grid:r535) -
l4andl40s: Only supportgrid:r570and newer
All accelerators in a fleet must use the same runtime version. You cannot mix different runtime versions within a single fleet.
Note
When you specify
latest, it resolves togrid:r570for all currently supported accelerators.Type: String
Length Constraints: Minimum length of 1. Maximum length of 100.
Required: No
-
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: