Caterpillar、CoreWeave 共建物理 AI
在 CoreWeave 的 Fully Connected 活动上，Caterpillar 物理 AI 平台与建筑自主化副总裁 Brandon Hootman 与 CoreWeave 物理 AI 高级副总裁 Richard Ahlfeld 介绍了双方合作：Caterpillar 的数字生态已积累约 18PB 来自机器、经销商与客户的联邦数据，而单台工程机械的激光雷达、摄像头、控制与性能数据每天就有数 TB。两人表示，双方与 Nvidia 合作，用 AI 模型对现场回传数据做标注和打标，把过去需要数周到数月的工作压缩到数小时内，使仿真与训练循环能在同一个工作日内完成。CoreWeave 在第二季度财报中已将 Caterpillar 列为客户，并于 9 月推出 Physical AI Field Engineering 服务，把自家工程师派驻到客户现场。
物理 AI 训练对存储、数据管道与现场工程能力的要求，正在成为云厂商与工业设备商合作的新切入点。
Caterpillar and CoreWeave shorten the learning loop for physical AI
Demand for new data centers, power plants and highways is fueling a construction boom, even as the industry wrestles with declining productivity and a shortage of skilled machine operators. Physical AI, which lets machines perceive their surroundings and act on them, is emerging as one answer.
Caterpillar Inc. has years of experience with autonomous equipment in mining. Extending that technology to construction requires systems that can adapt to more variable conditions, according to Brandon Hootman (pictured, right), vice president of physical AI platforms and construction autonomy at Caterpillar.
“Once that mine site gets instantiated, it does change, but it doesn’t change frequently,” he said. “You go to construction as an industry. Polar opposite of mining. If you think about all of the dynamics of what has to happen, taking a structured system and matching it to an unstructured environment, it’s really, really challenging to do.”