Which of the following statements best explains why AI workloads are more effectively handled by distributed computing environments?
Which components are essential parts of the NVIDIA software stack in an AI environment? (Select two)
Your AI team notices that the training jobs on your NVIDIA GPU cluster are taking longer than expected.
Upon investigation, you suspect underutilization of the GPUs. Which monitoring metric is the most critical to determine if the GPUs are being underutilized?
A company is using a multi-GPU server for training a deep learning model. The training process is extremely slow, and after investigation, it is found that the GPUs are not being utilized efficiently. The system uses NVLink, and the software stack includes CUDA, cuDNN, and NCCL. Which of the following actions is most likely to improve GPU utilization and overall training performance?
Your AI cluster handles a mix of training and inference workloads, each with different GPU resource requirements and runtime priorities. What scheduling strategy would best optimize the allocation of GPU resources in this mixed-workload environment?
