Cloud Infrastructure and Architecture

Josh Mckenna Thomas, a PhD candidate at Atlantic International University, presents a groundbreaking study on leveraging serverless computing for AI model training. This research addresses the critical challenges of scalability and cost in traditional cloud infrastructures. By proposing a serverless architecture, the study demonstrates how organizations can enhance efficiency and reduce operational burdens, allowing researchers to concentrate on refining AI models. Through real-world case studies in natural language processing and computer vision, the paper illustrates the practical benefits of serverless solutions, paving the way for more accessible and effective AI development. This work contributes significantly to the ongoing discourse on optimizing cloud infrastructure for advanced AI applications.