NCP-AII Exam Dumps | A cluster administrator deploys GPUDirect RDMA for a distributed AI training environment. After deployment,

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Question 59/86

A cluster administrator deploys GPUDirect RDMA for a distributed AI training environment. After deployment, GPU utilization improves while CPU utilization during communication decreases substantially. Which architectural change most directly explains this improvement?

A. Network traffic is compressed before entering GPU memory.

B. Data transfers bypass CPU memory and move directly between GPUs and network adapters.

C. All communication is redirected through NVSwitch.

D. PCIe transactions are replaced entirely by Ethernet broadcasts.

Correct Answer: B

GPUDirect RDMA allows compatible network adapters to access GPU memory directly, eliminating unnecessary copies through host memory and reducing CPU involvement. This lowers latency, decreases CPU overhead, and improves overall communication efficiency during distributed AI workloads. NVSwitch only affects intra-server communication, while GPUDirect RDMA operates across network fabrics.

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