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
- [Bugfix] [PD]Correct HMA enabled log condition in NIXL base_scheduler
- [RFC]: SM90 Exact Fused DSA Prefill Indexer
- [Bug][KV Offload] OffloadingConnector fs tier: multi-group MLA+DSA (DeepSeek-V4) TP=2 lookup fully misses across restart; single-group MHA hits 99.6%
- [feat]Add SLO-aware scheduling policy
- fix(security): enforce prompt-count bound on pooling and scoring routes
- [Bug]: `prompt_logprobs` silently corrupted for some requests when MTP speculative decoding is enabled (Qwen3.5-family, chunked prefill; two builds, two checkpoints)
- docs: add GPU architecture compatibility matrix and expand KServe integration guide
- [Bugfix] Support NVIDIA short-form UUID in CUDA_VISIBLE_DEVICES (#51677)
- [Frontend] Optional post-generation hook on EndpointPlugin
- [ROCm] DeepEP: configurable dispatch timeouts, deferred legacy annotations
- Docs
- Python not yet supported