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
- [Model] Support ViT full CUDA graph for Qwen3-Omni
- [Model][Hardware][AMD] Fuse MLA Attention + Per-token FP8 Quant
- [RL] Add Connex weight transfer backend
- [Distributed] Allow a plugin to provide the PP GroupCoordinator
- [Core] Let workers report requests whose KV cache was lost
- [Bugfix][Kernel] Use padded intermediate size for non-gated FlashInfer b12x NVFP4 MoE
- [ROCm][Perf][DSv4.1] TP1 MXFP8 GEMM tiles and a pre-quantized wo_b input for DEP8 on MI355X
- [KV Connector] Add ConnexConnector: P/D disaggregation that survives decode-instance failures
- [Distributed] Allow one pipeline stage per vLLM instance
- [XPU][CI] Add genai_perf to XPU test requirements
- Docs
- Python not yet supported