Cursor开源MoK：MoE训练内核速度提升2.37倍
Cursor开源了MoK内核，把MoE训练的通信和计算合成一个内核，跑得比公开基线快2.37倍，搞NVL72训练的可以看看。
Cursor宣布开源Mixture-of-Kittens (MoK)，这是一个面向NVL72的MoE训练megakernel。
MoK将专家混合的所有通信与计算融合进单个确定性内核，相比最强公开基线提速最高2.37倍。
该内核专为NVL72集群设计，用于提升大规模MoE训练效率。
dont worry kitten Cursor @cursor_ai We're open-sourcing Mixture-of-Kittens (MoK), our MoE training megakernel for NVL72s. It fuses all Mixture-of-Experts communication and computation into a single, fully deterministic kernel, and runs up to 2.37x faster than the strongest public baselines. 🔗 View Quoted Tweet📊 8 ⚡
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Cursor, MoK, NVL72, MoE训练.
Source attribution: curated from eric zakariasson (@ericzakariasson). Cross-source corroboration: 3 independent sources have covered this development (including Cursor, marktechpost), confirming industry-wide signal strength.
