AI Data Center Design and Optimization

NCP-AIN · 10 questions

• A city GPU fabric planning board is designing a new AI factory row with GPU compute nodes and Spectrum leaf switches. Which role do NVIDIA BlueField DPUs play in that architecture?
• A public-health inference network expands with new scalable units. Which set best names the networking building blocks that glue the AI factory together?
• A transit authority AI factory diagram lists only GPUs and leaf-spine switches. What component should network engineers add before procurement to complete the AI factory networking picture?
• A county assessor imagery cluster is sized as scalable units. How should the architect explain switch-tier attachment for those units in the municipal AI factory?
• A city GPU fabric for multi-node training stalls on east-west congestion. Designers compare a rail-optimized topology to a classic Clos-only leaf-spine. Which choice best supports high-performance AI workloads?
• A municipal AI factory wants each GPU rail to land on the same switch set so NCCL rings avoid unnecessary hops. What does that rail-optimized goal achieve?
• Emergency-management model training will span eight nodes. Before cutover, what characteristic should planners verify to confirm the proposed topology is rail-optimized?
• A school-district IT GPU lab asks when GPU-to-GPU traffic should stay on NVLink/NVSwitch versus traverse the Spectrum or InfiniBand fabric. Which guidance is correct?
• A public-works pavement-scan training job shows poor all-reduce times. Engineers review GPU-to-GPU communication paths in the pod. What should they evaluate first?
• A housing authority multi-GPU node fails collective performance. How should the team decide whether the issue is GPU-to-GPU interconnect versus east-west fabric?