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

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.

Authors

Publication Details

Journal
EPRA International Journal of Research & Development (IJRD)
Published
2024-10-03
DOI
https://doi.org/10.36713/epra18562
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.78
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article

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

K Balasubramanian
1 citations
EPRA International Journal of Research & Development (IJRD)
Cloud Computing and Resource Management
0.78
article

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

K Balasubramanian
article en
1 citations

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.

EPRA International Journal of Research & Development (IJRD)
Openalex Percentile: Top 21%
Cloud Computing and Resource Management
0.78
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