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
- [CI] Use readable titles for nightly perf-eval builds
- [ROCm] Fall back from unsupported AITER FP8 MoE and custom all-reduce
- [Core] Add --kv-cache-host-pinned: host-pinned KV cache on integrated GPUs (GB10, Thor)
- [Feature]: Zero-copy RDMA for the KV cache on DGX Spark (GB10): device memory is not registrable, host-pinned is
- [Perf][MoE] Add tuned Triton FusedMoE config for Gemma 4 26B-A4B on H20 (E=128,N=704)
- [Kernel] Parallelize CUTLASS FP4 expert offset scan
- Add TurboQuant variant support for triton_attn
- [ROCm] Fuse Kimi-K3 DSpark QK RoPE with the MLA cache write
- [Perf][DSv4.1] Size the long-context prefill workspaces by what a chunk can use
- [Bugfix][MiniMax-M3] Keep video timestamps with the processor cache
- Docs
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