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@NVIDIAAI: What if every decode step gave the next one a head start? Meet Guess-Verify-Refine — a new hardware-aware sparse-attention algorithm from N...

@NVIDIAAI 3 信息等级 3 1 噪音/剔除；2 较弱；3 普通事实；4 重要行业动态；5 极重大事件。该分数是信息显著性，不是投资建议。 发布：2026-05-07T17:00 抓取：2026-05-08 04:02
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AI 算力 行业
摘要

NVIDIA Research发布Guess-Verify-Refine算法，一种硬件感知的稀疏注意力机制，专为Blackwell上的TensorRT LLM设计，实现Top-K注意力1.88倍加速，端到端延迟提升9.3%。

客观事实
  • NVIDIA Research发布Guess-Verify-Refine稀疏注意力算法
  • 该算法专为Blackwell上的TensorRT LLM设计
  • 实现Top-K注意力1.88倍加速，端到端延迟提升9.3%
NVIDIA Blackwell TensorRT LLM

原文

What if every decode step gave the next one a head start?

Meet Guess-Verify-Refine — a new hardware-aware sparse-attention algorithm from NVIDIA Research. Built for TensorRT LLM on Blackwell, it reuses temporal patterns across decode steps for:

→ 1.88x faster Top-K attention
→ 9.3% better end-to-end latency in low-latency serving

Dive into the paper: https://t.co/quu7wX9sCh

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