Docker Windows Container GPU

Creator

Creator

Seonglae Cho

Created

Created

2020 Nov 16 2:8

Editor

Editor

Seonglae Cho

Edited

Edited

2023 Aug 29 3:50

Refs

Refs

experimental true

GPU Acceleration in Windows Containers

For many containerized workloads, CPU compute resources provide sufficient performance. However, for a certain class of workload, the massively parallel compute power offered by GPUs (graphics processing units) can speed up operations by orders of magnitude, bringing down cost and improving throughput immensely.

GPU Acceleration in Windows Containers

https://docs.microsoft.com/en-us/virtualization/windowscontainers/deploy-containers/gpu-acceleration

GPU Acceleration in Windows Containers

MicrosoftDocs/Virtualization-Documentation

This sample demonstrates containerizing and running a DirectX workload with GPU acceleration. Specifically, we use the WinMLRunner machine learning inference app. WinMLRunner is a command-line tool that evaluates trained models on tensor or image inputs. For the purposes of demonstrating GPU acceleration, this sample uses the app's performance benchmarking mode rather than providing real input.

https://github.com/MicrosoftDocs/Virtualization-Documentation/tree/live/windows-container-samples/directx

MicrosoftDocs/Virtualization-Documentation

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