NVIDIA：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 工厂融合 GPU、CPU、交换机、DPU 与 SuperNIC，并叠加大规模调度器、编排服务和安全控制。面对快速迭代的软件栈，验证基础设施、软件与策略能否协同支撑目标负载同样棘手。
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