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
- [DCP][Kernel] Add Shared-DCP consumer-direct Top-K
- [Bug]: Sleep mode wake_up crashes EngineCore natively on DGX Spark (GB10, unified memory) — sleep level 1 works, wake kills the engine
- DSpark: num_speculative_tokens < dspark_block_size guard (from #47419) has no corresponding code path — should be a warning
- Chunked prefill paged decode masked load perf [ROCm] [bugfix]
- [CI Failure]: LM Eval Qwen3.5 Models Accuracy issues
- [Bugfix][MRV2] Support encoder timing stats in model runner V2
- [Bug]: get_open_port() hangs forever when VLLM_PORT falls inside the data parallel reserved port range
- Fix/granitemoe fp8 split experts rebased
- Add timeout enforcement to wait_for_engine_startup
- fix(metrics): add graceful fallback for MultiProcessCollector initialization failure
- Docs
- Python not yet supported