🤯炸了！AI自己改推理系统，Qwen3.8-27B单请求从4.46倍直接干到10.87倍！无损、不训练，直接翻倍加速！单卡H100/RTX Pro 6000配置直接飞起！
This is a dev post classified by AGK Intelligence as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
🤯炸了！AI自己改推理系统，Qwen3.8-27B单请求从4.46倍直接干到10.87倍！无损、不训练，直接翻倍加速！单卡H100/RTX Pro 6000配置直接飞起！ 伯克利、普林斯顿、斯坦福 + NVIDIA 开源的 SpecPilot 来了！这是一个让 AI Agent 自主找投机解码（Speculative Decoding）性能瓶颈、并自动发现优化算法的 RSI 框架。 无需额外训练、不损失模型输出质量，就能针对不同模型、GPU 和服务场景实现大幅加速。 核心亮点： 🔹单请求炸裂：Qwen3.8-27B + DFlash2 在 RTX PRO 6000 上，相对自回归（AR）从 stock 的 4.46× 提升到 10.87×；H100 上也普遍翻倍以上（8.86×～9.41×）。 🔹批处理同步翻倍：FP8 Qwen3.8-27B，DFlash2 从 2.02×→3.90×，DSpark 从 1.94×→3.93×。 🔹无损保证：Token Forcing 严格校验每一个 token，输出质量与原模型一致。 🔹核心技术突破： ▫️W12：无损 12-bit 权重格式，加载时逐位恢复，GEMM 性能甚至超过 cuBLAS。 ▫️Best-first 树验证 + 针对 GDN 混合架构的 WY 验证内核。 ▫️两级验证（先 8-bit 低精度再精确验证），大幅提
Posted by SuSu_酥酥👅 (26.4k followers) 52 min ago · 23 likes · 1.9k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: compare.py, arXiv.org, specpilot, strata.
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