AI Accelerators for Ranking and Recommendation Inference in Data Centers: Architecture, Implementation, and Optimization

Authors

  • VenkataVaraha Chakravarthy Kanumetta

Keywords:

AI Accelerators, Recommendation Systems, Parallel Computing, Embedding Table Optimization, Heterogeneous Architecture

Abstract

This article explores the architectural principles and optimization techniques for AI accelerators
specialized for ranking 

References

Eran Tal et al., "Our next-generation Meta Training and Inference Accelerator," AI Blog, 2023.

[Online]. Available: https://ai.meta.com/blog/next-generation-meta-training-inference-accelerator-AI

MTIA/

Downloads

Published

2025-11-15

How to Cite

VenkataVaraha Chakravarthy Kanumetta. (2025). AI Accelerators for Ranking and Recommendation Inference in Data Centers: Architecture, Implementation, and Optimization. Journal of Computational Analysis and Applications (JoCAAA), 34(11), 414–428. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4150

Issue

Vol. 34 No. 11 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.