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
- [Usage]: Multiple vLLM processes with different ports on a Ray cluster
- [Bug]: crash on startup with TP>1 on H100 nodes: AttributeError in ShmRingBuffer.shared_memory
- [Bugfix] Handle cancellation of streaming requests in API server
- [Performance]: Multi-Modal Benchmark on NVIDIA A100 – Qwen2.5-VL / MiniCPM-V-4 / InternVL3_5-4B / InternVL3_5-2B
- [Core] Set process titles early in init for better debugging
- [Bugfix] Fix crash when calling sleep in data parallel mode
- [Performance]: Fuse padding onto GEMM by making the GEMM out-of-place
- Reduce noisy startup logs (Roadmap Q3 2025): demote/remove non‑essential INFO logs
- [UX] Only perform FlashInfer autotuning if needed by kernels
- [Bugfix] Fix ShardedStateLoader support for DeepSeek models with MLA scaling parameters
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