Cursor 开源 MoK：NVL72 MoE 训练内核提速 2.37 倍
Cursor 把 NVL72 上的 MoE 训练内核开出来了，比公开方案快 2.37 倍，想省训练成本直接用。
Cursor AI 开源了 Mixture-of-Kittens (MoK) 训练内核。该内核面向 NVIDIA NVL72 平台，将全部 MoE 通信与计算融合为单个确定性内核。
相比最强公开基线，MoK 的训练速度最高可提升 2.37 倍。
开发者现在可以获得完整代码并用于自己的训练任务。
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.📊 264 ⚡
This report is categorized under AITOP's "Products" 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.
Source attribution: curated from Cursor (@cursor_ai). Cross-source corroboration: 11 independent sources have covered this development (including eric zakariasson, LangChain, marktechpost), confirming industry-wide signal strength.
