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
- [RFC]: DP pause/sleep correctness: coordinator latch, request admission, device-idle completion, and sleep/pause layering
- [Bug] DeepSeek-V4 sparse prefill crashes (FlashMLA/SM90, phase1.cuh:614) on 0-token KVTransfer prefill requests
- [Core] Reject new requests while generation is paused
- [Bugfix] Demote FlashInfer CUTLASS unquantized MoE when intermediate size is not 128-aligned
- [New Model]: nvidia/LocateAnything-3B (slow autoregressive mode first)
- [Benchmark] Use sliding windows for peak serving metrics
- [Security] Fix P2P ZMQ socket exhaustion via unbounded peer sessions
- fix: prevent NIXL Decode worker crash from multi-prompt completions
- [Bugfix][Kernel] Hoist tensor-descriptor build out of unified-attention TD ti…
- [UX] Emit warning if some decode batches are not covered by CUDA graphs
- Docs
- Python not yet supported