[serve][llm] Data Parallel Attention: Public API and Documentation#58301
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richardliaw merged 10 commits intoray-project:masterfrom Nov 8, 2025
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[serve][llm] Data Parallel Attention: Public API and Documentation#58301richardliaw merged 10 commits intoray-project:masterfrom
richardliaw merged 10 commits intoray-project:masterfrom
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Signed-off-by: Kourosh Hakhamaneshi <kourosh@anyscale.com>
Signed-off-by: Kourosh Hakhamaneshi <kourosh@anyscale.com>
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Signed-off-by: Kourosh Hakhamaneshi <kourosh@anyscale.com>
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| - gpu | ||
| instance_type: gpu-large | ||
| commands: | ||
| - RAYCI_DISABLE_TEST_DB=1 bazel run //ci/ray_ci:test_in_docker -- //doc/... llm |
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Should we add
//python/ray/llm/...
so potential multi_gpu_4 targets added there will be picked up too?
| Deploy with: | ||
|
|
||
| ```bash | ||
| serve deploy dp_config.yaml |
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| serve deploy dp_config.yaml | |
| serve run dp_config.yaml |
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Summary
This PR adds data parallel attention support to the public API, creates comprehensive documentation, and sets up CI testing infrastructure for multi-GPU examples.
Changes
Public API
DPRankAssignerprivate (_DPRankAssigner)build_dp_deployment()andbuild_dp_openai_app()toray.serve.llmpublic APIDPServeras public API inray.serve.llm.deploymentDocumentation
data-parallel-attention.mdcovering DP patterns, configuration, and usagedp_basic_example.py- Basic DP deployment with OpenAI ingressdp_pd_example.py- DP + Prefill-decode disaggregationCI Infrastructure
multi_gpu/folder for examples requiring 4+ GPUsg6-large, multi-GPU tests ongpu-large(4 GPUs)multi_gpu_4tagTesting
literalincludedirectives