vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Bug]: [MiniMax] Function call content is not streamed incrementally; buffered until generation completes
- [Tracing] Add cache read tokens, finish reasons, and new standard OTel attributes
- [Feature]: Deepseek V4 cannot run ,Please support SM120 GPU,example rtx5090 rtxpro6000
- [Bug]: TurboQuant KV + spec-decode + chunked-prefill crashes CUDA graph capture at query_start_loc.tolist() in continuation-prefill path (Qwen3-Next hybrid dense)
- [Feature]: Add a standardized config extension point for out-of-tree platforms
- [Feature]: Support a node-local external DP mode with a single `vllm serve` and aggregated admin health endpoint
- [Bugfix] Fix codegen for unqualified names
- init
- [Bugfix][Scheduler] Fix CUDA crash caused by stale async placeholder tokens in speculative decoding
- [Feature]: vllm support audio otel tracing?
- Docs
- Python not yet supported