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Hao AI Lab 发布 JetSpec 投机解码技术

来源: twitter关注列表
作者: SemiAnalysis (@SemiAnalysis_)
发布于: 2026-06-30
收录于: 2026-06-30
AI 推荐理由
与普通投机解码相比,JetSpec 展示了因果并行树草稿的具体加速倍数和硬件实测 TPS,值得关注其与推理引擎的整合进展。
核心解读
Hao AI Lab 提出 JetSpec 技术,通过因果并行树草稿优化投机解码的草稿成本与质量,在 MATH-500 上实现最高 9.64 倍端到端加速,在开放聊天任务上实现 4.58 倍加速,且保持无损;结合 CUDA 图与内核优化,在单块 B200 上达到约 1000 TPS。
全文
Parallel draft tree, tree-causal verification Looking forward to its deeper integration with inference engines vLLM/SGLang! Great work @Lanxiang_Hu! > **引用原帖 Hao AI Lab (@haoailab):** > Introducing JetSpec: we find speculative decoding can push LLM generation latency to extreme by co-optimizing drafting cost and drafting quality with causal parallel tree drafting. > JetSpec reaches up to 9.64x end-to-end speedup on MATH-500 and 4.58x on open-ended chat while keeping lossless. With CUDA graph and kernel optimizations, JetSpec further translates to around 1000 TPS on a single B200. ⚡️ > Check out our project page for demos and a blog post on how we built it 👇 > https://t.co/M4T8jOBWQ8 > https://t.co/h9uipDbTuh > https://x.com/haoailab/status/2070225035403694408
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