AcceleratorSelection

Describes a specific GPU accelerator required for an Amazon Elastic Compute Cloud worker host.

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)
rtx-pro-server-6000 - NVIDIA RTX PRO Server 6000 GPU (96 GiB memory)

Type: String

Valid Values: t4 | a10g | l4 | l40s | rtx-pro-server-6000

Required: 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 specify latest and a new version of the runtime is released, the new version of the runtime is used.
grid:r580 - NVIDIA vGPU software 19
grid:r570 - NVIDIA vGPU software 18
grid:r535 - NVIDIA vGPU software 16

If you don't specify a runtime, AWS Deadline Cloud uses latest as the default. However, if you have multiple accelerators and specify latest for some and leave others blank, AWS Deadline Cloud raises an exception.

Important

Not all runtimes are compatible with all accelerator types:

t4 and a10g: Support all runtimes (grid:r580, grid:r570, grid:r535)
l4 and l40s: Only support grid:r570 and newer
rtx-pro-server-6000: Only supports grid:r580

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 to grid:r580 for all currently supported accelerators.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 100.

Required: No

AcceleratorSelection

Contents

Important

Note

See Also