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] Bound tile-local argmax to vocab_size in samplers
- [Bugfix][DSv4] Bound token_id before the tid2eid gather in hash-MoE routing
- [Bugfix][MoE] Bound expert_map gathers on data-derived expert ids
- [Bugfix] Fix CUDA graph profiling for long GDN warmups
- [Doc]: recipe for MiniMax-M3- crushes on 8xH200
- [CI/Release] Add XPU wheel release build
- [Bug]: Resumable (realtime) sessions retain raw mm_feature.data for every committed frame → unbounded engine-core host memory
- [Doc] Expand PTX toolchain mismatch troubleshooting
- [Feature] Add Prometheus metrics for multimodal preprocessing pipeline
- [Bug]: Single-GPU B300 intermittently hard-hangs under concurrency with SM at 100% and throughput at 0 (v0.25.1)
- Docs
- Python not yet supported