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
- [Core] Explicitly manage torch CPU threads in workers
- [Bug]: DiffusionGemma - Unconditional minimax_m3 warmup import in kernel_warmup() crashes engine startup for unrelated models (Triton JIT fails to parse index_topk kernel)
- [Bug]: EngineDeadError NVFP4 marlin
- fix: Add fp8 einsum warmup
- [Bugfix] Gate MiniMax M3 warmup imports by model and platform
- [Doc] Document FP8 GEMM kernel selection and Blackwell support
- [CPU] Add CPU FP8 W8A8 linear/MoE support
- [XPU] Support mxfp4 Sequence Parallelism on XPU
- [Bug]: Nemotron 3 Nano NVFP4 plain TP8 fails on Hopper/Marlin because TP shards split 16-value quantization groups
- [Bugfix] cumem_allocator: return None via Py_IncRef, not Py_RETURN_NONE
- Docs
- Python not yet supported