用数字孪生与 AI 智能体验证 AI 工厂变更
原标题：Validate AI Factory Changes with Digital Twins and AI Agents
AI 摘要
NVIDIA 在技术博客中介绍用基于节点的数字孪生（digital twin）和 AI 智能体来验证 AI 工厂的基础设施与软件变更。数字孪生提供可执行、API 可访问的仿真环境，让团队在硬件到位前就能在 CI/CD 流程中验证配置和软件集成。智能体可查询孪生、运行检查、比对结果并触发受治理的工作流，从而将验证左移、缩短上线时间。NVIDIA DSX Air 被定位为支撑该能力的 AI 工厂数字孪生平台。
正文节选
AI factories are some of the most complex operations in the world, combining GPUs, CPUs, switches, DPUs, and SuperNICs alongside schedulers, orchestration services, security controls, and a rapidly changing software stack. Deploying this infrastructure effectively is a challenge. But so is being able to validate that the infrastructure, software, and policies work together for the workloads the business intends to run. To minimize time to first token, AI factory operators can’t wait until hardwa