NVIDIA 如何用数字孪生与 AI 智能体验证 AI 工厂变更
Validate AI Factory Changes with Digital Twins and AI Agents
NVIDIA 提出用数字孪生与 AI 智能体验证 AI 工厂的变更。AI 工厂整合 GPU、CPU、交换机、DPU、SuperNIC 以及调度器、编排服务、安全控制和快速迭代的软件栈，部署与验证难度都很高。该方案针对基础设施、软件与策略能否协同支撑目标工作负载这一问题。
AI factories are some of the most complex operations in the world, combining GPUs, CPUs, switches, DPUs, and SuperNICs alongside schedulers, orchestration...
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…
来源：NVIDIA Developer Blog · developer.nvidia.com