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]: NIXL pull: an aborted request whose READ never completes keeps its decode KV blocks until restart
- [Bugfix][NIXL] Time out stalled KV loads and release aborted pulls
- [Bugfix][NIXL] Serialize NIXL agent calls across connector threads
- [Attention] Support FlashInfer attention sinks on SM8x
- [Bugfix] Validate headless mode args before building the engine config
- [ROCm] Enable DeepSeek-V3.2 / GLM-5.3 sparse MLA on gfx11
- [Kernel][Attention] Prune Triton tile loops under unclamped mm_prefix (Gemma 3 and other prefix-LM models)
- [Feature][MoE] Add expert-capacity token dropping
- [Kernel][Hardware][NVIDIA] Add tuned block-FP8 W8A8 configs for NVIDIA GB10
- [Core] Add platform-scoped per-request speculative fallback
- Docs
- Python not yet supported