NCA-AIIO Question 107
Select 4A data center administrator is tasked with monitoring the GPUs in their AI infrastructure to ensure optimum performance and to detect any potential issues. Which of the following criteria should they prioritize when setting up GPU monitoring tools?
- A
GPU utilization percentage
- B
Memory utilization and memory errors
- C
CPU temperature of the host machine
- D
Power consumption of the GPUs
- E
GPU clock speeds
- F
Network traffic on the host system
Show answer and explanation
Correct answers: A, B, D, E
Explanation
GPU monitoring involves tracking key metrics that impact the performance, efficiency, and reliability of GPUs. Metrics such as GPU utilization, memory utilization, power consumption, and clock speeds are directly tied to GPU operations and should be prioritized. While factors like CPU temperature or network traffic may be useful for overall system monitoring, they are not specific to GPU performance.
- A. Correct.
Monitoring GPU utilization percentage is critical as it provides insight into how effectively the GPU resources are being used during workloads.
- B. Correct.
Memory utilization and memory errors are key metrics to ensure that the GPU memory is sufficient and functioning properly for workloads, especially for large AI models.
- C. Incorrect.
CPU temperature of the host machine is not directly relevant to GPU monitoring, although it may be important for overall system health.
- D. Correct.
Power consumption of the GPUs is important for understanding energy efficiency and ensuring the system stays within power limits.
- E. Correct.
GPU clock speeds are essential to monitor as they directly impact the performance of the GPU during computation-heavy tasks.
- F. Incorrect.
Network traffic on the host system is not directly related to GPU monitoring, although it might be relevant in assessing data flow in a distributed environment.