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
- [KV Cache] Native simulator
- [Perf] SM120 PCIe serving stack: SP/async-TP enablement, FlashInfer spec-decode FULL cudagraphs, and PCIe-safe multi-GPU comms
- [Bugfix] Fix corrupted output with FlashInfer + decode context parallelism
- [Bugfix] Exclude DSpark draft KV-cache group from OffloadingConnector lookup poisoning
- [MoE] Add flashinfer.moe_ep (NCCL-EP) all2all backends: flashinfer_ep_low_latency / flashinfer_ep_high_throughput
- [Bugfix] MiniMax-M3 tool parser: stream tool-call arguments incrementally
- [Bugfix][Parser] Stream JSON envelope argument values
- [Doc] Use validated relative links for code references in design docs
- [Attention] Cover missed context segments in the sparse MLA indexer top-k
- [Bug]: Qwen3-Reranker: Process Hang with `/score` Endpoint for Specific Data
- Docs
- Python not yet supported