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
- [Frontend][Core] Add release_kv_cache_memory() API
- [Core] FlowPrefill: adaptive sub-chunk preemption for v1 Scheduler
- fix: replace assert with proper exceptions in SamplingParams validation
- [Bug]: Qwen3.5 397B NVFP4 DEP8 mixed prefill-decode step 6x times longer than decode-only step
- [Bugfix] Replace sequential port scan with atomic port=0 in get_open_ports_list
- [PD] Guard bidirectional KV reuse for rewritten history
- [Bug]: cc with vllm glm-5-fp8 function call error
- [Bugfix][V1] triton_unified_attention: apply tile_mask in USE_TD KV load
- Add SM120 NVFP4 KV cache support
- docs: add AI Badgr hosted GPU deployment option
- Docs
- Python not yet supported