stdClass Object
(
    [id] => 14086
    [paper_index] => 202410-02-018562
    [title] => ADVANCED COMPUTING: BEST PRACTICES FOR AUTOMATING IMAGE DEPLOYMENT USING DOCKER, CLOUD, AND HPC FOR AI/ML APPLICATIONS
    [description] => 
    [author] => Kamalakannan Balasubramanian
    [googlescholar] => 
    [doi] => https://doi.org/10.36713/epra18562
    [year] => 2024
    [month] => October
    [volume] => 9
    [issue] => 10
    [file] => fm/jpanel/upload/2024/October/202410-02-018562.pdf
    [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.

    [keywords] => 
    [doj] => 2024-10-03
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 2
    [journal_id] => 2
    [googlesearch_link] => 
    [edit_on] => 2024-10-04 15:17:24
    [is_status] => 1
    [journalname] => EPRA International Journal of Research & Development (IJRD)
    [short_code] => IJSR
    [eissn] =>  2455-7838 (Online)
    [pissn] => - -
    [home_page_wrapper] => images/products_image/2-n.png
)
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