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]: Improving vLLM Dependency Compatibility with Downstream Ecosystems
- [Bug] [CI, Build, and Release] Lost vllm against PyTorch nightly signal since Jan 28, 2026
- Changing the gating TG group composition
- [Feature]: investigate if we can turn off the ahead-of-time autotuning block in vLLM
- [Bugfix] Use a different prompt for benchmark_serving.py's test prompt
- [Bug]: vLLM doesn't release memory on deletion of the LLM runner with VLLM_ENABLE_V1_MULTIPROCESSING=0
- Add tuned fused_moe configs for Qwen3-30B-A3B
- Remove `build_for_cudagraph_capture` method and use `build` directly in attention metadata builders
- [Quantization] Use CompressedTensors utils matching utils, support module ignores
- [ROCm][FEAT] Integrate AITER tgemm.
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- Python not yet supported