modified lws chart to support aws efa#212
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masoodfaisal wants to merge 2 commits intoawslabs:mainfrom
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erezzarum
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Oct 31, 2025
| {{- if and ( eq .Values.inference.accelerator "gpu" ) ( eq .Values.inference.awsEfa true ) }} | ||
| - name: FI_PROVIDER | ||
| value: "efa" | ||
| - name: FI_EFA_USE_DEVICE_RDMA |
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Why is this needed?
I believe TP/PP uses NCCL, in this case we should use the tuner plugin to adjust the correct parameters and not to force anything.
Please test with NCCL_TUNER_PLUGIN=ofi when using our DLCs
erezzarum
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Oct 31, 2025
| modelServer: | ||
| image: | ||
| # refer to https://github.com/aws/deep-learning-containers/blob/master/vllm/CHANGELOG.md#0110---2025-10-08 | ||
| repository: 763104351884.dkr.ecr.us-east-1.amazonaws.com/vllm |
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For the blueprints, we should use the public ECR and not to force a region, we can give example how to optimize pulling by using DLC's private ECR repo, but in general, we should opt for the public ECR in the general examples.
https://gallery.ecr.aws/deep-learning-containers/vllm
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We now have the public ECR for DLC on all the vLLM images, please use that, also please reopen this PR in awslabs/ai-on-eks-charts as we now have a proper helm repository for this |
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What does this PR do?
For distributed inferencing using LWS, Amazon EFA provide a low latency inter-node connection that improves the latency of the inference. This PR provide an option to utilise Amazon EFA along with the Amaon DLC container images.
DLC images comes pre-baked with EFA libraries which are also added with the example
Motivation
LWS with Amzon EFA provide a way for multiple model layers to communicate over a low latency network resulting in better latency,
More
I have added the unit test for my changes in the repo too.
website/docsorwebsite/blogsection for this featurepre-commit run -awith this PR. Link for installing pre-commit locallyFor Moderators
Additional Notes