ADVANCED COMPUTING-BEST PRACTICES FOR AUTOMATING IMAGE DEPLOYMENT USING DOCKER, CLOUD, AND HPC FOR AI/ML APPLICATIONS

Authors

  • Kamalakannan Balasubramanian -

Abstract

Docker has revolutionized how applications are packaged, making it easy to bundle an application with all its dependencies into a standardized unit. When paired with cloud platforms (AWS, GCP, Azure) and High-Performance Computing (HPC) servers, Docker enables rapid deployment and scaling of complex applications, including those utilizing AI/ML (Artificial Intelligence/Machine Learning) algorithms.

This document outlines best practices for automating the deployment of AI/ML applications using Docker, cloud infrastructure, and HPC servers. The focus is on streamlining the development, testing, and production pipeline, particularly in environments where resource-intensive models or datasets are processed.

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Published

2024,Oct

How to Cite

Kamalakannan Balasubramanian. (2024). ADVANCED COMPUTING-BEST PRACTICES FOR AUTOMATING IMAGE DEPLOYMENT USING DOCKER, CLOUD, AND HPC FOR AI/ML APPLICATIONS. EPRA International Journal of Research & Development (IJRD), 9(10), 3–5. Retrieved from https://eprascholar.com/index.php/IJRD/article/view/6