NCA-AIIO exam dumps

NCA-AIIO practice question 111 of 119

NVIDIA-Certified Associate - AI Infrastructure and Operations. Free level, NVIDIA. Free question with the correct answer and a full explanation.

NCA-AIIO Question 111

Select 4

While managing an AI infrastructure, you are tasked with monitoring the performance and health of GPUs in a data center. Which of the following measures and criteria are key to ensuring optimal GPU operation?

  1. A

    GPU utilization percentage

  2. B

    Temperature of the GPU

  3. C

    Network bandwidth utilization

  4. D

    GPU memory usage

  5. E

    Disk I/O throughput

  6. F

    Power consumption of the GPU

Show answer and explanation

Correct answers: A, B, D, F

Explanation

Monitoring GPUs involves tracking specific health and performance metrics such as utilization, temperature, memory usage, and power consumption. These directly affect the GPU's ability to perform optimally and avoid issues like throttling, inefficiency, or failure. While network bandwidth and disk I/O are important in data centers, they are not GPU-specific metrics.

  • A. Correct.

    GPU utilization percentage is a critical metric as it indicates whether the GPU is being used efficiently or if there are bottlenecks or underutilization.

  • B. Correct.

    Temperature of the GPU is essential to monitor because overheating can lead to performance throttling or hardware damage.

  • C. Incorrect.

    Network bandwidth utilization is not directly related to GPU health and performance, though it could impact data transfer for workloads.

  • D. Correct.

    GPU memory usage is crucial as insufficient memory can cause out-of-memory errors, which can halt workloads or degrade performance.

  • E. Incorrect.

    Disk I/O throughput is unrelated to GPU-specific monitoring, as it pertains more to storage performance than GPU health.

  • F. Correct.

    Power consumption of the GPU is a key metric to monitor as GPUs consuming excessive power may indicate inefficiencies or impending hardware failures.

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