- 21 May, 2025 1 commit
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Graham King authored
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- 16 May, 2025 1 commit
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Ryan McCormick authored
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- 14 May, 2025 1 commit
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Graham King authored
Router: ``` dynamo-run in=http out=dyn://dynamo.endpoint.generate --router-mode kv ``` Worker (* N): ``` dynamo-run in=dyn://dynamo.endpoint.generate out=vllm /data/llms/Qwen/Qwen3-4B ``` You need patched vllm and the C bindings `.so`. Full docs in the updated guide: `docs/guides/dynamo_run.md`. This gives us a pure-Rust ingress node: OpenAI compliant HTTP server + Pre-processor + KV-aware router.
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- 07 May, 2025 2 commits
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Graham King authored
Signed-off-by:
Graham King <graham@gkgk.org> Co-authored-by:
Ryan McCormick <rmccormick@nvidia.com>
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Graham King authored
vllm and sglang are now the sub-process engines from #954 Also updated docs on doing vllm and sglang multi-gpu (tensor parallel) and multi-node (pipeline parallel).
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- 06 May, 2025 1 commit
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Graham King authored
New vllm and sglang engines that run in a sub-process. Will hopefully replace the existing embedded python engines. Why? - Pure Python, does not require knowing Rust to work on it. Much simpler to maintain. - No embedded Python interpreter which avoids linking libpython and avoids the MacOS virtualenv issues. - Should have better performance as it's "native" vllm / sglang. - Works with any version of vllm (including v1!) and sglang. Less upgrade struggle.
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