MoK 在 Cursor 支撑数万 GPU 训练，吞吐提升至 1.41 倍
Cursor 说 MoK 已在数万 GPU 上跑生产，比旧 DeepEP 栈端到端快 1.41 倍，搞大规模训练的可以看。
Cursor 宣布其 MoK 方案已投入训练任务，覆盖数万张 GPU。相比此前基于 DeepEP 的技术栈，端到端训练吞吐提升至 1.
41 倍。MoK 已在生产环境验证，用于 Cursor 的大规模训练基础设施。
MoK now powers training across tens of thousands of GPUs at Cursor. In production, it raised end-to-end training throughput by 1.41x over our previous DeepEP-based stack.📊 9 ⚡
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 MoK, Cursor, DeepEP, 训练优化.
Source attribution: curated from Cursor (@cursor_ai). Cross-source corroboration: 3 independent sources have covered this development (including marktechpost, eric zakariasson), confirming industry-wide signal strength.
