用数字孪生和 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 工厂的基础设施变更。AI 工厂整合了 GPU、CPU、交换机、DPU 和 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。该方案的目标是确认基础设施、软件与策略能协同支撑实际工作负载。
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 Technical Blog · developer.nvidia.com