NCP-AII Question 31
Select 2An AI research team is deploying a distributed deep learning workload across multiple GPUs in a cluster. During testing, they notice performance bottlenecks caused by suboptimal inter-node communication. Which of the following technologies or configurations would help improve inter-node data transfer speeds in this scenario?
- A
Using NVIDIA GPUDirect RDMA for direct GPU-to-GPU communication
- B
Upgrading to a high-bandwidth InfiniBand network for inter-node communication
- C
Configuring the system to use CPU-based data transfers instead of GPU-based transfers
- D
Enabling Dynamic Host Configuration Protocol (DHCP) for faster IP address assignment
- E
Utilizing NVIDIA NVLink for inter-node communication
Show answer and explanation
Correct answers: A, B
Explanation
To optimize inter-node communication in distributed AI workloads, technologies like NVIDIA GPUDirect RDMA and InfiniBand are crucial. GPUDirect RDMA facilitates direct data transfers between GPUs across nodes, minimizing latency by bypassing the CPU. InfiniBand provides a high-bandwidth, low-latency network solution that is well-suited for inter-node communication in distributed systems. Options like CPU-based transfers or DHCP configurations do not contribute to performance improvements in this context.
- A. Correct.
NVIDIA GPUDirect RDMA enables direct GPU-to-GPU communication bypassing the CPU, which reduces latency and improves data transfer speeds, making it highly effective for distributed workloads.
- B. Correct.
InfiniBand provides high-bandwidth, low-latency network communication, which is ideal for inter-node communication in distributed AI training environments.
- C. Incorrect.
CPU-based data transfers are typically slower compared to GPU-based transfers. This would increase latency and is not recommended in distributed AI workloads.
- D. Incorrect.
DHCP is unrelated to improving inter-node communication performance in distributed AI workloads. It is used for dynamic IP address assignment but does not affect data transfer speeds.
- E. Incorrect.
NVIDIA NVLink is a high-bandwidth interconnect technology, but it is designed for intra-node GPU communication, not inter-node communication.