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
- Add SM120 NVFP4 KV cache support
- [Bugfix] Fix NanRepr enum comparison in ScalarType.has_nans/is_ieee_754
- [Bugfix] Fix return type annotations for get_json/async_get_json
- [Bugfix] Use proper ternary in InProcessCoreClient.get_output
- [serving] Upgrade unknown-field log from DEBUG to WARNING in OpenAIBaseModel
- [Bugfix] Refresh forward-context tensors before FULL CUDA graph replay
- Fail closed on missing speculative draft probabilities
- docs: add AI Badgr hosted GPU deployment option
- [Model Runner V2][Spec Decode]Support peagle spec decode
- [Bug]: Setting prompt_embeds does not work for vision-language models
- Docs
- Python not yet supported