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
- use HIP_VERSION variables to guard against duplicate atomicAdd definitions
- [MLA Attention Backend] Add TOKENSPEED_MLA backend for DSR1/Kimi K25 prefill + decode on Blackwell
- [Attention] add triton diff-kv backend for mimo
- [Bugfix] find_loaded_library: skip stub libraries and continue iterating
- feat(completions): token-native binary transport via stream_format=msgpack|protobuf
- [KV Offload] Expose SimpleCPU offload metrics
- [Doc] Add JarvisLabs deployment guide
- [Kernel][MLA] Triton-fused TurboQuant decode backend
- Route TorchAO and LLM-Compressor Quantized Inference through zentorch on AMD Zen CPUs
- [CI][Elastic EP] Fix Elastic EP Scaling Test Failure
- Docs
- Python not yet supported