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
- [DeepSeek-V4-P2-05] Opt into sparse FlashMLA decode
- [Bug]: EPLB async expert rearrangement crashes engine with AssertionError in fused MoE shared_experts (GLM-5.3-Flash, v0.31.0, TP8/EP8 + MTP)
- [Bugfix][Benchmark] Fix fused_topk import in CUTLASS MoE benchmarks
- [Tracking Feature]: Support vLLM with Python 3.15
- [Bug][ROCm][MoRIIO] In READ mode, a TP1 decode paired with a TP2 prefill shuts down on its first request (NotImplementedError) instead of refusing the unsupported pairing
- [Bug]: `--long-prefill-token-threshold` no longer protects short requests behind a long prefill since v0.31.0 (lone-request exemption, #57951)
- [Perf] Reduce multiprocess Prometheus logger CPU by 28% (3.64 s -> 2.62 s)
- [RFC]: Improving MooncakeConnector
- [Feature][Multimodal] Support KV-backed continuation through Generate inputs
- [WIP][Perf][CPU][DiffusionGemma] Optimize CPU runtimes
- Docs
- Python not yet supported