NCP-AII Question 85
Select 4You are an AI infrastructure engineer tasked with validating the hardware readiness of a new NVIDIA GPU server for deep learning training workloads. Which steps are essential to ensure the hardware is operating correctly and optimized for your workload?
- A
Run NVIDIA GPU diagnostics tools, such as nvidia-smi, to check GPU health and utilization.
- B
Verify power and cooling systems are functioning within specifications to avoid thermal throttling.
- C
Ensure the training dataset is preprocessed and split correctly across GPUs.
- D
Perform stress tests using benchmarking tools such as NVIDIA DCGM or NVIDIA TensorRT.
- E
Check the compatibility of the installed GPU drivers with the desired deep learning framework.
Show answer and explanation
Correct answers: A, B, D, E
Explanation
Validating hardware operation involves checking GPU health, system stability under load, power and cooling efficiency, and driver compatibility. These steps ensure the hardware is functioning optimally and ready for AI workloads. Preprocessing datasets is a workload preparation step, not a hardware validation step.
- A. Correct.
Running NVIDIA GPU diagnostics tools, such as nvidia-smi, is critical to validate GPU health, utilization, and memory status, which ensures hardware readiness for workloads.
- B. Correct.
Power and cooling systems directly affect the performance and reliability of the GPUs. Proper validation helps prevent issues like thermal throttling or unexpected shutdowns.
- C. Incorrect.
While preprocessing the training dataset is important for workload efficiency, it is not directly related to hardware validation, which is the focus here.
- D. Correct.
Stress testing with benchmarking tools like NVIDIA DCGM or TensorRT is a standard step to ensure the system can handle workload demands and perform optimally during real-world usage.
- E. Correct.
Driver compatibility is crucial to ensure that the GPUs can interface correctly with the deep learning framework and utilize all its features effectively.