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
- [NIXL] Share in-flight prefix loads across requests
- [Perf][KV Connector] Drop the redundant index_select in kv_postprocess_layout_on_receive
- [KV Connector] Stop mutating the prefill payload after it has been sent
- [RFC]: Modular read strategies and custom parameters for /v1/systemone and /v1/decisions
- [RFC]: MoRIIO WRITE failure handling and safe KV block reclamation
- Fix suppress_stdout to target the real stdout fd
- [Bug] DeepSeek-V4.1-Flash cannot use TP > 8: Engram hash-head sharding assertion rejects tp_size=16 across 2 nodes
- [Bug] vendored flash_linear_attention chunk_o.py drops upstream mask before exp(), so boundary chunks can exponentiate unspecified lanes
- [KV Cache] Skip the zero fill in allocate_kv_cache when the platform does not need it
- [Startup UX]: Serial per-process Python imports across the API server → EngineCore → worker tree add significant startup time
- Docs
- Python not yet supported