📄 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.
📚 How to Cite:
Kamalakannan Balasubramanian , ADVANCED COMPUTING: BEST PRACTICES FOR AUTOMATING IMAGE DEPLOYMENT USING DOCKER, CLOUD, AND HPC FOR AI/ML APPLICATIONS , Volume 9 , Issue 10, october 2024, EPRA International Journal of Research & Development (IJRD) , DOI: https://doi.org/10.36713/epra18562