GPU Aware Scheduling is a K8s extender which allows using GPU resources for scheduling decisions
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GPU Aware Scheduling (GAS) is a K8s extender which allows using GPU resources such as memory amount for scheduling decisions in Kubernetes. It also supports telemetry based node labels for controlling GPU usage.
For further information check github at:
https://github.com/intel/platform-aware-scheduling
https://github.com/intel/platform-aware-scheduling/tree/master/gpu-aware-scheduling
LEGAL NOTICE: By accessing, downloading or using this software and any required dependent software (the “Software Package”), you agree to the terms and conditions of the software license agreements for the Software Package, which may also include notices, disclaimers, or license terms for third party software included with the Software Package. Please refer to the “third-party-programs.txt” or other similarly-named text file for additional details.
Content type
Image
Digest
sha256:f17900bd3…
Size
11 MB
Last updated
over 2 years ago
docker pull intel/gpu-extenderPulls:
37
Sep 21 to Sep 27