[docker] add vllm-openai-efa target by snadampal · Pull Request #58768 · vllm-project/vllm

snadampal · 2026-09-25T18:37:35Z

This PR is to improve vLLM out-of-box experience on AWS GPU clusters.

Added a new build target vllm-openai-efa to build image with EFA user space libraries and mooncake-transfer-engine-efa.
Extended CI workflow scripts to build and publish the newly added target images.
NOTE:
The PR adds a new target vllm-openai-efa instead of updating the existing vllm-openai because the rdma-core version from EFA installer is different from the version comes with distro. Though the latest rdma-core version from the EFA installer should work for non-EFA platforms as well, we didn't test that configuration. And also not to interfere with the existing build configurations, we took a new target approach.

Purpose

To improve vLLM out-of-box experience on AWS GPU clusters.

Test Plan

P-D disaggregated inference on AWS p5en.48xlarge 2 node cluster with NIXL LIBFABRIC (efa provider) backend - to be specific, I ran vllm multi-turn conversation benchmark with Qwen3-32B model.
TBD - test Mooncake TransferEngine with EFA trasport

Test Result

Passed

Essential Elements of an Effective PR Description Checklist

The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
The test plan, such as providing test command.
The test results, such as pasting the results comparison before and after, or e2e results
(Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.

claude

Claude Code Review

This pull request is from a fork — automated review is disabled. A repository maintainer can comment @claude review to run a one-time review.

mergify · 2026-09-25T18:38:10Z

Documentation preview: https://vllm--58768.org.readthedocs.build/en/58768/

robertgshaw2-redhat · 2026-09-25T18:47:28Z

nice! can we also ensure that nixl and deepepv2 work properly in these images?

functionstackx

Can u also test if Mooncake p2p store works and not just mooncake transfers?

here is an example here SemiAnalysisAI/InferenceX#3405

snadampal · 2026-09-25T18:59:51Z

Thanks for the prompt response, @robertgshaw2-redhat ! I've already tested Nixl with P/D disagg with this image.
mooncake TE testing is in progress, will plan deepepv2 as well.

@functionstackx , yeah, will use mooncake store instead of p/d for mooncake TE coverage here.

erezzarum · 2026-09-25T19:13:08Z

nice! can we also ensure that nixl and deepepv2 work properly in these images?

NIXL is included in the base vLLM image, the Python wheels from pypi include the libfabric plugin.

snadampal · 2026-09-25T20:03:11Z

Here are the steps to build and run image from this PR on a AWS GPU cluster:

Build
pre-requisites: docker installed, vllm cloned and cherrypicked this PR

cd ~/vllm

DOCKER_BUILDKIT=1 docker build . \
    --target vllm-openai-efa \
    --tag vllm/vllm-openai:efa_pr_58768 \
    --file docker/Dockerfile \
    --build-arg INSTALL_KV_CONNECTORS=true \
    --build-arg max_jobs=$(nproc) \
    --build-arg nvcc_threads=2

Testing P/D disagg with NIXL+ libfabric/EFA backend
note: Qwen3-32B model is used here on a AWS p5en.48xlarge 2 node cluster with 1P-1D topology

1. Launch prefill server 

docker run --gpus all \
    --network host \
    --ipc=host \
    $(for d in /dev/infiniband/uverbs*; do echo -n "--device $d "; done) \
    --ulimit memlock=-1 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=$HF_TOKEN" \
    --env "VLLM_NIXL_SIDE_CHANNEL_HOST=<PREFILL_NODE_IP>" \
    --env "VLLM_NIXL_SIDE_CHANNEL_PORT=5600" \
    vllm/vllm-openai:efa_sn \
    --model Qwen/Qwen3-32B --served-model-name Qwen --dtype bfloat16 \
    --max-num-seqs 8 --port 8100 --max-model-len 32768 --tensor-parallel-size 8 \
    --kv-transfer-config '{"kv_connector":"NixlConnector","kv_buffer_device":"cuda","kv_role":"kv_producer”,”engine_id":"prefill-engine-001","kv_rank":0,"kv_parallel_size":2,"kv_connector_extra_config":{"backends":["LIBFABRIC"]}}'


2. Launch decode server 

docker run --gpus all \
    --network host \
    --ipc=host \
    $(for d in /dev/infiniband/uverbs*; do echo -n "--device $d "; done) \
    --ulimit memlock=-1 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=$HF_TOKEN" \
    --env "VLLM_NIXL_SIDE_CHANNEL_HOST=<DECODE_NODE_IP>" \
    --env "VLLM_NIXL_SIDE_CHANNEL_PORT=5600" \
    vllm/vllm-openai:efa_sn \
    --model Qwen/Qwen3-32B --served-model-name Qwen --dtype bfloat16 \
    --max-num-seqs 8 --port 8200 --max-model-len 32768 --tensor-parallel-size 8 \
    --kv-transfer-config '{"kv_connector":"NixlConnector","kv_buffer_device":"cuda","kv_role":"kv_consumer”,”engine_id”:”decode-engine-001","kv_rank":0,"kv_parallel_size":2,"kv_connector_extra_config":{"backends":["LIBFABRIC"]}}'

3. Launch router on any one of the above two nodes or launch on a different node

python3 ~/vllm/examples/disaggregated/disaggregated_serving/disagg_proxy_demo.py \
  --model Qwen \
  --port 8000 \
  --prefill <PREFILL_NODE_IP>:8100 \
  --decode <DECODE_NODE_IP>:8200

4. Issue requests. Here i'm issuing requests from the router node, hence use localhost.

curl -s http://localhost:8000/v1/chat/completions \
  -H 'Content-Type: application/json' \
  -d '{
        "model": "Qwen",
        "messages": [{"role": "user", "content": "Explain KV cache in detail."}],
        "max_tokens": 128,
        "temperature": 0
      }' | python3 -m json.tool

erezzarum · 2026-09-25T21:39:15Z

The current cuda base image doesn't have an /etc/shinit_v2 so it doesn't set NCCL_NET_PLUGIN=ofi and NCCL_TUNER_PLUGIN=ofi.
I recommend we also set this already.
Applies to sgl-project/sglang#41006 as well

snadampal · 2026-09-25T23:52:27Z

Mooncake Store has been tested, it's working fine with EFA using mooncake-transfer-engine-efa.

I0925 23:37:34.597007  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@cb2b074418dd6ceed530eea5481e47d44b0dcf06b8544fa9c8c3be391de4b2e6 completed successfully
I0925 23:37:34.597009  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@5cea8a86068a10d86096b23d6e4993d65061099640f7e0a15008e7b4cb06e364 completed successfully
I0925 23:37:34.597011  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@3b7ddfcb110fca38cf3428134e36edeb72fa287d9cb30989f3593358e4a082ed completed successfully
I0925 23:37:34.597013  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@e55671e4bf4257146571d3097d2da2214efc349f227341b4f5e0681b3a532efb completed successfully
I0925 23:37:34.597015  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@4bcfbdaff3c119ae2556b423afaa3a1c5aad203491109448f90b67ecd9bc0c14 completed successfully
I0925 23:37:34.597018  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@14794eb235ffae2974db897ff3748e85db6d9c5f1661a9e334c261badf4cb2b4 completed successfully
I0925 23:37:34.597019  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@c2418628aae9d9f0923b2f67396a58ac5ec40cde86194fb8f1e11167c13d00f2 completed successfully
I0925 23:37:34.597021  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@f83c45baea0fa3a1c664ed169dff33459a07c751d098bdfb38094d6cccecb9e7 completed successfully
I0925 23:37:34.597023  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@b9ed6654d086cbbec6b4c918ef7a4971b7122d647c2185418888e49e966bd463 completed successfully
I0925 23:37:34.597025  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@78eb55a4be7671bcd438f179b79dd23215d5078f62633d905c95538b283ec8c2 completed successfully
I0925 23:37:34.597028  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@38fd1da8c39337c0e6e2067dd9493aacdcfcdc039cc1b439a10e10b9d7f79321 completed successfully
I0925 23:37:34.597029  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@609e9a189156ec02bddc6c1386eee3be6c94ee87a7960c6510b843b309507dbe completed successfully
I0925 23:37:34.597031  3163 client_service.cpp:3092] Operation for key efa-store-test@Qwen3-32B@tp_rank:4@pcp0@dcp0@pp_rank:0@group:0@5506761908d64db02fef596a711505d4a33d5f59999c40482e78e07a10c2f91d completed successfully
(APIServer pid=1) INFO:     127.0.0.1:59702 - "GET /metrics HTTP/1.1" 200 OK
(APIServer pid=1) INFO:     127.0.0.1:59708 - "GET /metrics HTTP/1.1" 200 OK
(APIServer pid=1) INFO:     127.0.0.1:59710 - "GET /metrics HTTP/1.1" 200 OK
(APIServer pid=1) INFO:     127.0.0.1:59726 - "GET /metrics HTTP/1.1" 200 OK

and

EfaEndPoint[10.0.60.212:12379@rdmap110s0 <-> 10.0.50.128:13196@rdmap110s0]
EfaEndPoint[10.0.60.212:12379@rdmap110s0 <-> 10.0.50.128:13196@rdmap136s0]
EfaEndPoint[10.0.60.212:12379@rdmap110s0 <-> 10.0.50.128:13196@rdmap137s0]
EfaEndPoint[10.0.60.212:12379@rdmap110s0 <-> 10.0.50.128:13196@rdmap138s0]
EfaEndPoint[10.0.60.212:12379@rdmap110s0 <-> 10.0.50.128:13196@rdmap160s0]

functionstackx · 2026-09-26T01:07:14Z

hi @snadampal

since the new proposed approach is to have an separate efa specific build for vllm/sglang, we might not need to wait for nccl-EP to get well integrated into sglang/vllm to get multi node WideEP (>=EP16) working out of the box for EFA since you can reinstall the efa fork'ed DeepEP in the dockerfile i.e.

functionstackx · 2026-09-27T17:21:54Z

seems like here is the AWS file for building deepepv2 https://github.com/dmvevents/awsome-distributed-ai/blob/ca5327caa8b263c0d308d3b992e86161d9db8ef7/examples/inference/vllm/deepep-v2-efa/setup_deepep_v2_efa.s

erezzarum · 2026-09-27T17:24:23Z

seems like here is the AWS file for building deepepv2 https://github.com/dmvevents/awsome-distributed-ai/blob/ca5327caa8b263c0d308d3b992e86161d9db8ef7/examples/inference/vllm/deepep-v2-efa/setup_deepep_v2_efa.s

We have a better way to integrate this into vLLM and SGLang containers, i'll wait for @snadampal to come online tomorrow and we'll work on it.

We are already rolling this into our DLCs, you can see an example: https://github.com/aws/deep-learning-containers/blob/main/docker/vllm/Dockerfile.amzn2023#L163

robertgshaw2-redhat · 2026-09-28T23:14:10Z

+ARG EFA_INSTALLER_SHA256=fa6dff8593d866866c13cb4640d9059835cd4efa427971f100ab40c97bef2841
+# Mooncake version the vllm-openai-efa target pins its EFA wheel to. Keep in
+# sync with requirements/kv_connectors*.txt, which install the non-EFA build.
+ARG MOONCAKE_VERSION=0.3.13.post1


please make a comment that this is temporary --- also, can we not just figure this out below?

e.g. we start by uninstalling, then re-install. Instead of manually keeping this in sync

export MY_PKG_VERSION=$(uv pip show mooncake | grep -i '^Version:' | awk '{print $2}')

yes, it's possible to check the installed wheel's version instead of passing the version here.

robertgshaw2-redhat · 2026-09-28T23:16:02Z

+ARG DEEPEP_REPO="https://github.com/amazon-contributing/DeepEP.git"
+ARG DEEPEP_REF="874779c9ccd2294b56304bd6cc5f138f1f71d097"
+# DeepEPv2 GDA over EFA requires NCCL 2.31.x or later.
+ARG EFA_NCCL_VERSION=2.31.2


We should just change the nccl version globally for vllm to 2.31.2, we already have a custom version

cc @tlrmchlsmth - can you confirm this is okay?

agreed. Should be ok to bump

great! it will make things more cleaner. @tlrmchlsmth , do you prefer to make this change outside, or ok to make it part of this PR?

I'm OK to make it part of the pr

robertgshaw2-redhat · 2026-09-28T23:16:44Z

cc @tlrmchlsmth - what do you think about updating nccl to 2.31?

erezzarum · 2026-09-29T14:11:02Z

I think we should add this # syntax=docker/dockerfile:1.10.0-labs to the top of the Dockerfile, to make sure compatibility and choose the correct buildkit frontend.

snadampal · 2026-09-29T21:37:42Z

thanks for aligning on the base image nccl version, I will update the PR

xinli-sw · 2026-10-02T16:50:56Z

Hi @snadampal could you update the PR? I can try to test it out

snadampal · 2026-10-02T22:44:10Z

Hi @xinli-sw, I have updated the PR, please give it a try and let me know if you see any issues. thanks.

mergify · 2026-10-07T23:43:40Z

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @snadampal.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

github-actions · 2026-10-22T00:16:01Z

✅ Triggered Buildkite CI #96518 for commit 287930dcf93b.

snadampal · 2026-10-22T14:18:12Z

The CI is all green now, all checks have passed!

functionstackx

thank you @snadampal , Erez, Kevin, robert, Tyler, Xin for this PR!

khluu · 2026-10-23T21:10:24Z

+# conditional, so this is "tcp if TARGETARCH is not amd64, else efa".
+ARG ARCH_IF_NOT_AMD64=${TARGETARCH#amd64}
+ARG PROTOCOL_IF_NOT_AMD64=${ARCH_IF_NOT_AMD64:+tcp}
+ENV MOONCAKE_PROTOCOL=${PROTOCOL_IF_NOT_AMD64:-efa}


I'm not sure if vllm code is reading this env var

khluu · 2026-10-23T21:10:42Z

      - "cuda-13-0-ubuntu-24-04"
+      # AWS EFA variants; no-ops when the opt-in EFA image was not built.
+      - "cuda-13-0-efa"
+      - "cuda-13-0-ubuntu-24-04-efa"


default ubuntu is 24.04 now so we can remove 24-04 variant

but i still see this: "cuda-13-0-ubuntu-24-04"
are you planning to delete that on mainline?

khluu · 2026-10-23T21:13:32Z

+# No cu134 entry: Rubin CUDA 13.4 is nightly-only and is not promoted to
+# DockerHub for the base variant either.
+
+target_enabled cuda-13-0-efa              && publish_image_family "-efa" || true


why do we have || true here?

I know it's best effort but can we fail loudly here, just in case 1 platform pass but not the other and the failure is silenced

khluu · 2026-10-23T21:17:28Z

Can we also make the publish release image step depends on the EFA build, but with allow_failure: true so it doesn't block publishing other images?

snadampal · 2026-10-23T21:20:37Z

thanks for the feedback, @khluu , I will update once you confirm the cuda-13-0-ubuntu-24-04 state on mainline.

mergify · 2026-10-23T22:18:49Z

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @snadampal.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

Add docker/Dockerfile.efa, a layer on top of a vllm-openai image (ARG BASE_IMAGE, built with INSTALL_KV_CONNECTORS=true). It adds: - The AWS EFA userspace stack (libfabric, aws-ofi-nccl), with build-time checks that NIXL's LIBFABRIC plugin resolves to the AWS libfabric. Also sets NCCL_NET_PLUGIN=ofi and NCCL_TUNER_PLUGIN=ofi. - On x86_64, the EFA Mooncake wheel at the base image's Mooncake version, with MOONCAKE_PROTOCOL=efa (tcp on other architectures). - DeepEP rebuilt from the amazon-contributing fork for DeepEPv2 GIN over EFA. Bump NCCL_VERSION to 2.31.2 in docker/Dockerfile, which DeepEPv2 GDA over EFA requires. Release pipeline: build EFA variants of the CUDA 13.0, and nightly Rubin CUDA 13.4 images by layering Dockerfile.efa on each staging image, and create their multi-arch manifests. publish-release-images.sh adds a shared publish_image_family helper and publishes the -efa families when present. Co-authored-by: Erez Zarum <erezz@amazon.com> Co-authored-by: Sean Westfall <sean.westfall@gmail.com> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Sunita Nadampalli <nadampal@amazon.com>

snadampal · 2026-10-24T02:07:01Z

Hi @khluu , I've updated the PR, please check and run CI if it looks good.

khluu · 2026-10-24T09:06:35Z

(Claude Code here, on @khluu's behalf.) Kicking off PR CI for the updated head, and a release-pipeline test build (shadow pipeline) to check that Dockerfile.efa builds on both x86_64 and aarch64.

khluu · 2026-10-24T09:06:36Z

/ci run

github-actions · 2026-10-24T09:07:01Z

✅ Triggered Buildkite CI #97029 for commit bda1f6f42684.

ℹ️ This PR is 10 commits behind upstream main. Merged upstream main into this branch as bda1f6f42684 before starting CI. Pull the branch before pushing more changes.

wzhao18 · 2026-10-24T15:54:54Z

/ci retry

github-actions · 2026-10-24T15:55:57Z

✅ Queued 2 failed job(s) for retry in Buildkite CI #97029.

wzhao18 · 2026-10-24T16:49:33Z

Seems the CI failures are irrelevant, and appear in other builds as well

snadampal · 2026-10-26T14:08:14Z

Thanks for merging the PR, @khluu !

Conflict in publish-release-images.sh: keep main's new cuda-13-0-efa target (vllm-project#58768) and this branch's single ROCm target (no rocm72). Co-Authored-By: Claude <noreply@anthropic.com> Signed-off-by: Andreas Karatzas <AndreasKaratzas@users.noreply.github.com>

Signed-off-by: Sunita Nadampalli <nadampal@amazon.com> Co-authored-by: Erez Zarum <erezz@amazon.com> Co-authored-by: Sean Westfall <sean.westfall@gmail.com> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Christopher Mackenzie <christopher.mackenzie.software@gmail.com>

snadampal requested review from Harry-Chen and khluu as code owners September 25, 2026 18:37

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Add AWS EFA runtime support for KV connectors #55783

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[CI/Build] Publish nightly EFA image to DockerHub #64028

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