Exam NCA-AIIO Topic 2 Question 49 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 49
Topic #: 2
You are planning to deploy a large-scale AI training job in the cloud using NVIDIA GPUs. Which of the following factors is most crucial to optimize both cost and performance for your deployment?

Suggested Answer: B Vote an answer

Optimizing cost and performance in cloud-based AI training with NVIDIA GPUs (e.g., DGX Cloud) requires resource efficiency. Autoscaling dynamically allocates GPU instances based on workload demand, scaling up for peak training and down when idle, balancing performance and cost. NVIDIA's cloud integrations (e.g., with AWS, Azure) support this via Kubernetes or cloud-native tools.
High core count (Option A) boosts performance but raises costs if underutilized. Data locality (Option C) reduces latency but not overall cost-performance trade-offs. Reserved instances (Option D) lower costs but lack flexibility. Autoscaling is NVIDIA's key cloud optimization factor.

by Donahue at Jul 03, 2025, 02:29 AM

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