NCP-AII Question 35
Select 3An organization is deploying an NVIDIA DGX system for AI model training. The IT team needs to ensure optimal performance of the system’s network for distributed training workloads. Which of the following configurations are essential to achieve this?
- A
Use an InfiniBand network for low-latency, high-throughput communication between nodes.
- B
Enable jumbo frames to reduce CPU overhead and improve network efficiency.
- C
Configure the system to use a 1 Gbps Ethernet connection for cost savings.
- D
Implement RDMA (Remote Direct Memory Access) for efficient data transfer between GPUs.
- E
Rely on default network configurations provided by the operating system.
Show answer and explanation
Correct answers: A, B, D
Explanation
To optimize the network for NVIDIA DGX systems used in AI training, it is critical to ensure high-performance configurations such as InfiniBand for low-latency communication, jumbo frames for efficiency, and RDMA for direct memory access. These features collectively help maximize the throughput and minimize the latency required for distributed workloads, which are common in AI training environments.
- A. Correct.
InfiniBand is designed for high-performance computing environments, offering low latency and high throughput needed for distributed AI workloads.
- B. Correct.
Enabling jumbo frames reduces the overhead of processing large amounts of data by increasing the maximum transmission unit (MTU), which is beneficial for AI training workloads.
- C. Incorrect.
A 1 Gbps Ethernet connection is insufficient for the high-bandwidth demands of distributed AI training and would severely bottleneck performance.
- D. Correct.
RDMA allows GPUs to transfer data directly between memory locations without CPU intervention, greatly improving performance in distributed training scenarios.
- E. Incorrect.
Default network configurations may not be optimized for high-performance AI training and typically lack support for features like RDMA or jumbo frames.