Google与MIT推出Coco硬件模型协同设计智能体平台
Google与MIT联合推出Coco，一个供TPU架构师进行硬件与模型协同设计的智能体平台，其决策基于数百GB预训练未见过的全新仿真扫描数据。Coco将每次扫描注册进规范化关系型数据库，智能体报告的每个数字均来自SQL查询，并能自主组合类型化工具、读取UI导航状态作为上下文。近期目标是将架构师设置仿真并获取洞察的时间减半，论文见 arxiv.org/abs/2610.02376。
Great report from Google and MIT.
Co-designing ML models and the accelerators is an exciting research direction.
This report introduces Coco, an agent platform TPU architects use for hardware and model co-design. Each decision depends on hundreds of gigabytes of fresh simulation sweeps that no model saw during pretraining.
Coco registers every sweep in a normalized relational database, so each number an agent reports comes from a SQL query. Agents compose typed tools on their own, run recurring analyses such as comparing systems at matched execution configurations, and read the UI's navigation state as context.
The near-term goal is halving the time architects spend setting up simulations and getting insights from them.
Paper: arxiv.org/abs/2610.02376
Chat with Paper: academy.dair.ai/papers/coco-…
来源：dair_ai · x.com