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NVIDIA AI Infrastructure Sample Questions:

1. You are tasked with deploying a cluster of NVIDIAAIOO GPUs in a high-density server environment. The server chassis has a limited power budget and cooling capacity. Which of the following strategies is MOST effective in validating that the power and cooling infrastructure can adequately support the GPU workload during peak performance, minimizing the risk of thermal throttling and system instability?

A) Employ a power monitoring tool (e.g., IPMI, Redfish) to measure the actual power consumption of the server during a stress test that mimics the intended Ai workload. Cross-reference this with the power supply unit's (PSU) rating and the cooling system's capacity.
B) Monitor GPU temperature using 'nvidia-smi' during a sustained compute-intensive workload and compare it to the GPU's thermal threshold. If the temperature remains below the threshold, the cooling is adequate.
C) Observe the GPU clock speeds during a workload. If the clock speeds are at the maximum rated speed, the power and cooling are sufficient.
D) Rely solely on the GPU manufacturer's stated Thermal Design Power (TDP) specifications and allocate power based on these values.
E) Simulate the Ai workload with a synthetic benchmark (e.g., Linpack) and extrapolate power consumption based on the benchmark's performance metrics.

2. After replacing a faulty NVIDIA GPU, the system boots, and 'nvidia-smi' detects the new card. However, when you run a CUDA program, it fails with the error "'no CUDA-capable device is detected'". You've confirmed the correct drivers are installed and the GPU is properly seated. What's the most probable cause of this issue?

A) The user running the CUDA program does not have the necessary permissions to access the GPU.
B) The CUDA toolkit is not properly configured to use the new GPU.
C) The new GPU is incompatible with the existing system BIOS.
D) The 'LD LIBRARY PATH* environment variable is not set correctly.
E) The GPIJ is not properly initialized by the system due to a missing or incorrect ACPI configuration.

3. You are observing that the memory bandwidth being achieved by your CUDA application on an NVIDIAAIOO GPU is significantly lower than the theoretical peak bandwidth. Which of the following could be potential causes for this, and what actions can you take to validate or mitigate them? (Select all that apply)

A) The application is using uncoalesced memory access patterns. Refactor the code to ensure contiguous memory access by threads within a warp.
B) The application is using a small transfer size per kernel launch. Increase the amount of data processed per kernel launch to amortize the overhead of kernel launch and data transfer.
C) The GPU is being limited by power capping. Increase the power limit using 'nvidia-smi -pl' (if permitted) to allow the GPU to operate at higher clock speeds.
D) The system memory is fully occupied. Deallocate some memory.
E) The application is using single precision floating-point operations. Switch to double precision to increase memory bandwidth utilization.

4. An AI inference workload running on a server equipped with NVIDIA TensorRT is experiencing intermittent performance degradation. Profiling reveals potential issues with GPU utilization. Which command-line tool is best suited to provide real-time GPU performance metrics, including utilization, memory usage, and power consumption, during workload execution?

A) nvitop
B) tegrastats
C) nvprof
D) gpustat
E) nvidia-smi

5. You are managing a cluster of GPU servers for deep learning. You observe that one server consistently exhibits high GPU temperature during training, causing thermal throttling and reduced performance. You've already ensured adequate airflow. Which of the following actions would be MOST effective in addressing this issue?

A) Update the NVIDIA drivers to the latest version.
B) Lower the GPU power limit using 'nvidia-smi -power-limit*.
C) Increase the fan speed of the GPU cooler using 'nvidia-smi --fan'.
D) Reduce the ambient temperature of the data center.
E) Re-seat the GPU in its PCle slot to ensure proper contact and heat dissipation.

Solutions: