NCP-AII Exam Question 56

A large language model (LLM) training job is running across multiple NVIDIAAI 00 GPUs in a cluster. You observe that the GPUs within a single server are communicating efficiently via NVLink, but the inter-server communication over Ethernet is becoming a bottleneck. Which of the following strategies, focusing on cable and transceiver selection, would MOST effectively address this inter-server communication bottleneck? (Choose TWO)
  • NCP-AII Exam Question 57

    After deploying BlueField OS, you notice that the network interfaces are not automatically configured with IP addresses. Which of the following actions would be the MOST appropriate first step to troubleshoot this issue?
  • NCP-AII Exam Question 58

    Which of the following statements accurately describe the benefits of using MIG (Multi-lnstance GPU) in an AI/HPC environment?
    (Select all that apply)
  • NCP-AII Exam Question 59

    You are running a distributed training job across multiple nodes, using a shared file system for storing training dat a. You observe that some nodes are consistently slower than others in reading data. Which of the following could be contributing factors to this performance discrepancy? Select all that apply.
  • NCP-AII Exam Question 60

    You are tasked with designing a high-performance network for a large-scale recommendation system. The system requires low latency and high throughput for both training and inference. Which interconnect technology is MOST suitable for connecting the nodes within the cluster?