NCP-AIO Exam Dumps | You are managing a Kubernetes cluster running AI training jobs using TensorFlow. The jobs require access

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Question 3/29

You are managing a Kubernetes cluster running AI training jobs using TensorFlow. The jobs require access to multiple GPUs across different nodes, but inter-node communication seems slow, impacting performance.
What is a potential networking configuration you would implement to optimize inter-node communication for distributed training?

A. Increase the number of replicas for each job to reduce the load on individual nodes.

B. Use standard Ethernet networking with jumbo frames enabled to reduce packet overhead during communication.

C. Configure a dedicated storage network to handle data transfer between nodes during training.

D. Use InfiniBand networking between nodes to reduce latency and increase throughput for distributed training jobs.

Correct Answer: D

Comprehensive and Detailed Explanation From Exact Extract:
For distributed AI training jobs that require fast inter-node communication, such as those using TensorFlow across multiple GPUs and nodes,InfiniBand networkingis the preferred solution. InfiniBand provides ultra- low latency and high bandwidth, reducing communication delays significantly and increasing overall training throughput. While jumbo frames on Ethernet can help, they do not match the performance of InfiniBand.
Dedicated storage networks or increasing replicas do not directly address inter-node communication latency.

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