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
- fix(v1): skip full GC during EngineCore process exit
- [ROCm] Enable AITER by default
- [Bug]: moe_wna16_marlin_gemm applies wrong per-row topk weights (mul_topk_weights=True) at gpt-oss NVFP4 MoE shapes — corrupt output
- Add pushed-based ZMQ metrics logger support
- [Feature] Add mamba ssu kernel autotune at warmup time
- [ROCm] DeepSeek-V4-Pro PD Disaggregation through MORI IO KV Connector on AMD GPUs
- [Feature]: nvfp4 KV cache on SM120 — flashinfer ships the kernels, vLLM isn't wired to them (working prototype, 245K ctx on a 5090)
- [Perf] Add per-phase cold-start startup span benchmark harness
- Make `load_weights` completely optional
- [Attention][MiniMax-M3] Add FlashInfer MSA backend for SM120/SM121
- Docs
- Python not yet supported