Exam NCA-AIIO Topic 1 Question 8 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 8
Topic #: 1

You are managing an AI data center where multiple GPUs are orchestrated across a large cluster to run various deep learning tasks. Which of the following actions best describes an efficient approach to cluster orchestration in this environment?

A. Use a round-robin scheduling algorithm to distribute jobs evenly across all GPUs, regardless of their workload requirements. B. Prioritize job assignments to GPUs with the least power consumption to reduce energy costs. C. Implement a Kubernetes-based orchestration system to dynamically allocate GPU resources based on workload demands. D. Assign all jobs to the most powerful GPU in the cluster to maximize performance and minimize job completion time.

Suggested Answer: C Vote an answer

Implementing a Kubernetes-based orchestration system to dynamically allocate GPU resources based on workload demands is the most efficient approach for managing a multi-GPU AI cluster. Kubernetes, enhanced by NVIDIA's GPU Operator, supports dynamic scheduling, resource allocation, and scaling for deep learning tasks, ensuring optimal GPU utilization and adaptability.Option A (round-robin) ignores workload specifics, leading to inefficiency. Option B (least power) sacrifices performance for minor cost savings. Option D (most powerful GPU) creates bottlenecks and underutilizes other GPUs. NVIDIA's documentation on Kubernetes integration highlights its effectiveness for AI cluster orchestration.

by Ronald at Apr 08, 2026, 04:26 PM

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