Cloud Infrastructure Optimization and AI Model Acceleration in Complex Computing Environments

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Published: 2026-05-24
Keywords:
Cloud Infrastructure Optimization, AI Model Acceleration, Computing Environments, Resource Allocation, Performance Metrics

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Weihao Feng
School of Information Technology and Engineering, Philippine Women's University, Manila, Philippines
Alexander Thorne
School of Information Technology and Engineering, Philippine Women's University, Manila, Philippines
Benedict Morelli
School of Information Technology and Engineering, Philippine Women's University, Manila, Philippines

Abstract

This research article explores the optimization of cloud infrastructure and the acceleration of AI models in complex computing environments. The study focuses on innovative methodologies for resource allocation, workload distribution, and system architecture design to enhance computational efficiency. Key contributions include a novel framework for dynamic resource scaling, comparative analysis of AI model acceleration techniques, and a detailed evaluation of performance metrics across diverse scenarios. The findings demonstrate significant improvements in processing speed, cost efficiency, and system reliability, providing actionable insights for practitioners and researchers in the field.

Article Details

Issue

Vol. 2 No. 1 (2026)

Section

Articles

How to Cite

Cloud Infrastructure Optimization and AI Model Acceleration in Complex Computing Environments. (2026). Hua Xia Xin Zhi, 2(1), 304-316. https://journals.hubblepress.com/index.php/HXXZ/article/view/50

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