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][Kernel] NVFP4 KV cache: fix block_size/layout detection for physically shaped HND caches
- [Core] Skip common-prefix block scan for single requests
- [Model][Quant] DeepSeek-V4: opt-in lossless MXFP4->block-FP8 expert dequant (Hopper prefill speedup)
- [Kernel][Perf] Tune fused_moe FP8 config for Qwen3-VL on L40S (+8% at batch 4-512)
- [Bug]: Named shared memory may be closed before peer ranks open it
- [Core] Add default-off preemption_victim="lcf" (least-computed-first) victim policy
- [DCP][Mooncake] Harden hybrid prefix-cache external hits
- [V1][Scheduler] Add streaming prompt prefill support
- [Bugfix][Distributed] Retain shared memory handle until after barrier in in_the_same_node_as
- [Bug]: MLA decode fails on GB10 — shared memory 102400 > 101376; num_stages guard in _decode_grouped_att_m_fwd only fires for BLOCK_DMODEL >= 1024
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