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] Make prompt_logprobs respect logprobs_mode setting
- [RFC][torch.compile]: Disable Sequence Parallelism (SP) for piecewise compilation
- [Bug]: Regression: terrible mixed prefill-decode performance with CUDA graphs enabled.
- [Bug] PD disagg via NixlConnector fails with NIXL 0.10.0 on B200
- Fix: DBO + DSA shape mismatch
- [Bug]: deploy Qwen3.5-27B error
- [Bug]: `prompt_logprobs` ignores `logprobs_mode`
- [RFC]: Revamp Ray Distributed Executor Backend (from Ray team)
- Lora multistream
- [RFC]: Unify engine process monitoring in engine manager and add Ray backend support
- Docs
- Python not yet supported