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
- [Bugfix][Frontend] Allow structured_outputs with text.format type "text" in Responses API
- [Kernel][Perf] Register-resident path for rms_norm_dynamic_per_token_quant
- [ROCm][CI] fix test_pynccl for test_pynccl_multiple_allreduce_with_vllm with VLLM_ROCM_USE_AITER=1
- [Kernel][Attention] Segment sliding windows in split-K; split-K for non-causal speculative rows
- [Bugfix][Benchmark] Preserve custom audio without a tokenizer
- [Perf][GDN] Static mixed-batch metadata and grids for the GDN prefill path (CUDA graph prep 1/2)
- [Perf][Compile] Enable norm+quant fusion by default for NVFP4 checkpoints
- [Perf][Attention] FA2: faster short-query attention over long cached contexts
- [Observability] Add request tracing for pooling entrypoints.
- [RFC]: Layerwise KV Pooling and P/D Disaggregation for High-Hit-Rate Agent Workloads
- Docs
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