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
- docs: add OrcaRouter deployment framework guide
- [Bugfix][KV offload] Validate computed device pointers before copy
- [Model][Gemma4] Fuse post-attention residual add into pre-FFN RMSNorm
- [Bugfix][Frontend] Recover Kimi K3 tools after omitted think close
- perf: Optimize sliding window cache hit search time complexity to O(N/K) from O(N)
- [Feature]: Cache-aware waiting QoS with optional cooperative prefill preemption
- [Security] Widen int32 pointer arithmetic to int64 in CUDA kernels
- [Bug][ROCm] All-reduce dispatch has an 8–16 MiB "dead zone" on ROCm (CUSTOM's per-world-size table is CUDA-only) that forces PyNCCL/RCCL, which then crashes with `hipErrorLaunchOutOfResources`
- [Bug]: /metrics ignores Prometheus name[] query filters
- [Bug] Hybrid mamba align precopy: illegal memory access on prefix-cache resume with explicit --block-size (state column seeded with wrong block size)
- Docs
- Python not yet supported