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] Shape-adaptive tile config for batch-invariant matmul on SM80
- [Bugfix][Spec Decode] DSpark: build draft under its own model/quant config (NVFP4 target corrupts MXFP4 draft experts)
- [Bugfix][Kernel] Fix persistent top-k histogram reuse after short rows
- [Reload] Dual-mode graph storage for CUDA graph tensor identity
- [Bugfix] Prevent stale partial prefix cache hashes
- [Perf] Avoid per-step pinned staging allocation in apply_grammar_bitmask
- [Kernel][Attention] Pipeline Triton prefill-attention K/V loads for long BF16/FP16 prefills
- [DSv4 Perf] Right-size gather-k workers to the reachable token count and use num_…
- [DSv4 Perf] Stream sparse-attn compress softmax to cut register pressure and lift…
- [Bug] Deepseek-V4-Pro corruption: H100 multi-rank startup can select a FlashInfer block-FP8 path with a cold JIT cache race
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