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
- [Feature][DCP] --dcp-gather: gather-based DCP for MLA attention without native DCP (+ DSv4)
- [Bug]: prompt_embeds decode limit is per-part, allowing request-level memory amplification
- [DeepSeek-V4-P4] Align batch-invariant mHC and o-proj paths
- [Docs] Clarify Qwen4Exp PLE Engram configuration
- [Bugfix][DCP] Sort DCP group ranks so rank_in_group matches collective order
- [DeepSeek-V4-P5] Rewrite matmul_persistent with a split-K plan
- [Bug]: NIXL: `remove_remote_agent` does not release UCX endpoints, so each `engine_ttl` eviction + re-handshake leaks until handshakes fail
- [Frontend] Accept the model path that /v1/models publishes
- [Bugfix][Core] Release the profile run's allocator cache before a pinned KV cache
- [Bugfix][Core] Unblock scheduling after a failed async KV load
- Docs
- Python not yet supported