Thermal throttling occurs when a GPU reduces its performance to prevent overheating, a common issue during high-intensity AI training workloads that push GPUs to their limits. The most direct way to confirm this is by monitoring the GPU Temperature and Thermal Status. NVIDIA provides tools like NVIDIA System Management Interface (nvidia-smi) and NVIDIA Data Center GPU Manager (DCGM) to track temperature in real-time. If temperatures approach or exceed the GPU's thermal threshold (typically around 85-90°C for NVIDIA GPUs like the A100), the GPU automatically downclocks to reduce heat, causing a performance drop.
Memory Bandwidth Utilization (Option A) indicates how efficiently memory is used but doesn't directly correlate with throttling. CPU Utilization (Option B) is unrelated to GPU thermal issues, as it reflects CPU load. GPU Clock Speed (Option D) might show a reduction due to throttling, but it's a symptom, not the root cause-temperature is the primary metric to check. NVIDIA's DGX systems emphasize thermal monitoring to maintain performance, making Option C the priority.