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
- [Perf] Fix DBO overlap: capture DeepEP event before yield
- [kv_offload+HMA][8/N]: Support multi-group worker transfer
- [ROCm][Test] Add hybrid block size and RDNA4 backend selection tests
- [Logging] Add JIT compilation progress log for FlashInfer
- [Logging] Improve DCP/PCP/MTP error messages with actionable guidance
- [Bug]: When using the Sonnet dataset for benchmark testing, if the input length is too small, the CPU usage becomes abnormally high with no error logs, making it impossible to run the benchmark properly.
- [Bug]: [xPyD]Potential OOM when using v1 P2pNcclConnector as KV cache transport: KV cache accumulation on decode instance.
- [Misc] Organize NixlConnector into own directory
- [CI] Pin GitHub Actions to commit hashes in macos-smoke-test.yml
- [ROCm] aiter_unified_attn fp8 q scale refactor
- Docs
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