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] Handle E8M0 block scales in CUTLASS and Triton FP8 linear kernels
- [RFC][Frontend/CLI]: Offline prefix-cache workload analyzer
- [Bug]: DeepSeek-V4 sparse-SWA decode passes flashinfer 0.6.14-only kwargs, but the pin is 0.6.13
- [Bug]: H200-NVL TP=8 FlashInfer mnnvl fused allreduce crashes at CUDA graph capture; trtllm workaround is ~34x slower than disabling fusion
- [Frontend] Expose canonical KV cache group metadata
- [Rust Frontend] add mistral reasoning parser
- [Performance]: Official FP8 checkpoint ~40% slower at bs=1 than runtime fp8 quant of same model (Qwen3-4B, RTX 4090, v0.24.0)
- [Bugfix][Scheduler] Let pooling chunked prefill use full context
- [RFC][Feature]: First-class session id for conversation aware routing
- Optimize ppc64le vLLM runtime image size
- Docs
- Python not yet supported