Evaluating Infrastructure Bottlenecks in Distributed AI Training: A Performance Benchmark Study

Authors

  • Sayantan Ghosh and Suvodeep Pyne

Keywords:

Distributed AI training, performance benchmarking, InfiniBand, Horovod, PyTorch DDP, communication latency, scalability, throughput optimization.

Abstract

The rapid expansion of artificial intelligence (AI) and the increasing complexity of deeplearning models have intensified the need for efficient distributed training systems. This study, titled “Evaluating Infrastructure

References

Alam, K., Roy, B., Roy, C. K., & Mittal, K. (2025). An empirical investigation on the challenges in scientific workflow systems development. Empirical Software Engineering, 30(5), 151.

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Published

2025-07-15

How to Cite

Sayantan Ghosh and Suvodeep Pyne. (2025). Evaluating Infrastructure Bottlenecks in Distributed AI Training: A Performance Benchmark Study. Journal of Computational Analysis and Applications (JoCAAA), 34(7), 445–461. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4054

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Section

Articles