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]: test_tp_language_generation[Llama-3.2-1B-...parallel_setup{9,10}] times out (480s) on Hopper — server actually starts but exceeds the test deadline
- [Misc] Add remediation hints to MTP and PCP context-parallel errors
- [Rust Frontend] Add Jamba tool parser
- docs: add note on bitsandbytes batch size dependency
- [Bugfix] Use block_k for block-wise FP8 activation group_shape
- [Docker] Rename build stages for clarity (base->build-base, build->wheel-build, vllm-base->runtime-base)
- Prewarm full cudagraph capture forward pass
- [ROCm][Perf] ROCM_ATTN selected over ROCM_AITER_FA for MHA decode despite VLLM_ROCM_USE_AITER=1 (CDNA)
- [Core] Add scheduler-orchestrated worker transfers for multi-node KV cache tiering
- [KV Connector] Multi-view NIXL connector
- Docs
- Python not yet supported