Ligeng Zhu(@LigengZhu):⚡️ We are excited to share updates from KDA-v0.5 (kernel design agents). Our latest Cute-DSL kernels can beat the human winners at FlashInfer Kernel Contest by 16%~69%! An amazing progress in just 3 months! - GDN prefill: 1.69x Speedup over Kachua - DSA attention: 1.41x Speedup over Dogacel - FP8 MoE: 1.17x Speedup over Team Wombat Humanize2 Flame Chase: https://t.co/p6ny6AQ5cg Results and Reproduction: https://t.co/LxNtOvHrqN MLSys 2026 Contest: https://t.co/wlDnDvmAnm KDA-v0.5 achieved this by integrating the Cute-DSL primitive, better workflows (humanize1 -> humanize2), updated kernel-wiki (self-evolved), and better profiling skills (IKET). The results are achieved by the flame chase flow from humanize2 – using gpt-5.6-sol and fable-5 to iteratively optimize . We have released the kernels for validation and more details will come soon! By the KDA Team: Dongyun Zou, Yixin Dong, Junxian Guo, Changye Li, Yahui Cui, Zihao Ye, Junru Shao, Zijian Zhang, Sihao Liu, Song Bian and Ligeng Zhu.

2026.08.30 19:26

⚡️ We are excited to share updates from KDA-v0.5 (kernel design agents). Our latest Cute-DSL kernels can beat the human winners at FlashInfer Kernel Contest by 16%~69%! An amazing progress in just 3 months! - GDN prefill: 1.69x Speedup over Kachua - DSA attention: 1.41x Speedup over Dogacel - FP8 MoE: 1.17x Speedup over Team Wombat Humanize2 Flame Chase: Results and Reproduction: MLSys 2026 Contest: KDA-v0.5 achieved this by integrating the Cute-DSL primitive, better workflows (humanize1 -> humanize2), updated kernel-wiki (self-evolved), and better profiling skills (IKET). The results are achieved by the flame chase flow from humanize2 – using gpt-5.6-sol and fable-5 to iteratively optimize . We have released the kernels for validation and more details will come soon! By the KDA Team: Dongyun Zou, Yixin Dong, Junxian Guo, Changye Li, Yahui Cui, Zihao Ye, Junru Shao, Zijian Zhang, Sihao Liu, Song Bian and Ligeng Zhu.