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
- [Bugfix][KV Offload] Retain offload mappings after unsafe KVCR startup failure
- [MM][Mistral3] Image preprocessing optimization
- [Security] Bound FunAudioChat runtime audio to the profiled duration
- [Performance]: KV offload: DMA/Triton load threshold needs per-device profiling
- [Feature] Restore concurrent partial prefill limit (max_concurrent_prefills) in V1 scheduler
- [Bugfix][KV Offload] Unlink shared mmap by inode after all ranks map
- [Bugfix] Use the correct repository revision for secondary artifact loaders
- [Feature]: Production evidence for restoring concurrent partial prefill limits (max_num_partial_prefills / max_concurrent_prefills) in V1 scheduler
- feat: Add video support for the Transformers backend
- [Multimodal] Avoid extra d2d for encoder cudagraph with fused input norm
- Docs
- Python not yet supported