NCA-AIIO Question 110
Select 4You are tasked with monitoring the performance of GPUs in a high-performance AI training cluster. Which of the following metrics should you prioritize to ensure optimal GPU utilization and prevent potential bottlenecks?
- A
GPU utilization percentage
- B
Memory bandwidth usage
- C
Temperature of the GPUs
- D
CPU clock speed
- E
GPU power consumption
Show answer and explanation
Correct answers: A, B, C, E
Explanation
Monitoring GPUs requires focusing on metrics that directly impact their performance and reliability. GPU utilization, memory bandwidth usage, temperature, and power consumption are all critical for ensuring optimal performance and identifying potential bottlenecks or issues. CPU clock speed, while important for overall system performance, is not directly tied to GPU-specific monitoring.
- A. Correct.
GPU utilization percentage is a key metric to monitor as it indicates the level of workload being processed by the GPU. High or low utilization can reveal inefficiencies or underuse.
- B. Correct.
Memory bandwidth usage is crucial for monitoring data transfer rates within the GPU. Insufficient bandwidth can lead to bottlenecks in AI workloads.
- C. Correct.
Temperature of the GPUs is a critical metric to track since overheating can lead to throttling or even hardware failure.
- D. Incorrect.
CPU clock speed is not directly relevant to GPU performance monitoring. While it may affect overall system performance, it is not a key measure for GPU-specific operations.
- E. Correct.
GPU power consumption is an important metric for understanding energy efficiency and ensuring the system operates within power limits, avoiding potential hardware damage.