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You are assisting in a project where the senior engineer requires you to create visualizations of system resource usage during the training of an AI model. The training was conducted using multiple NVIDIA GPUs over several hours. The goal is to present the results in a way that highlights periods of high resource utilization and potential bottlenecks. Which type of visualization would best illustrate periods of high resource utilization and potential bottlenecks during the training process?
Correct Answer: C
A heatmap showing GPU utilization over time is the most effective visualization for identifying periods of high resource utilization and potential bottlenecks during AI model training on multiple NVIDIA GPUs. Heatmaps provide a time-series view with color gradients indicating intensity (e.g., GPU usage percentage), allowing quick identification of peak usage, idle periods, or uneven load distribution across GPUs-key indicators of bottlenecks. NVIDIA tools like nvidia-smi and DCGM generate time-based GPU metrics that align with this approach. Option A (stacked bar chart) aggregates data, obscuring temporal patterns. Option B (pie chart) shows static proportions, not time-based fluctuations. Option D (box plot) summarizes distribution but lacks temporal detail. NVIDIA's performance analysis workflows, as per their AI infrastructure documentation, recommend time-based visualizations like heatmaps for such tasks.