Mistral 与英伟达合作，用物理 AI 加速工业设计
Mistral and Nvidia want to speed up industrial design with physics AI
Mistral 与英伟达宣布合作，将 Mistral Large 4 和 Mistral 的物理 AI 与英伟达 CUDA-X、Warp 软件库及 Omniverse 结合，用于加速工程仿真和工业产品设计，目标是把设计、仿真与 AI 训练连成一条连续工作流，面向航空航天、汽车和半导体等行业。双方还计划发布公开基准和开放数据集，用于测试和比较物理模型及与工程软件配合的 AI 智能体。Mistral Large 4 约有 1 万亿参数，在欧洲使用 3800 块 Grace Blackwell GPU 训练，将于 10 月下旬以开放权重模型形式发布；Mistral 计划到 2030 年将算力扩展到 1 吉瓦。
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Mistral and Nvidia are teaming up to speed up engineering simulations and industrial product design with AI. According to Mistral's announcement, the partners will combine the language model Mistral Large 4 and Mistral's physics AI with Nvidia's CUDA-X and Warp software libraries and Omniverse for 3D simulations. The goal is to link design, simulation, and AI training in one continuous workflow for industries like aerospace, automotive, and semiconductors.
The companies also plan to release public benchmarks and open datasets for testing and comparing physics models and AI agents that work with engineering software. The two previously built Mistral NeMo together, and they're working on an open foundation model as part of the Nemotron Coalition . Mistral Large 4 has about one trillion parameters and was trained on 3,800 Grace Blackwell GPUs in Europe. It's set to ship as an open-weight model in late October. Mistral wants to expand its computing capacity to one gigawatt by 2030.