AI Prowess: Harnessing Docker for Streamlined Deployment and Scalability of Machine Learning Applications
DZone
AUGUST 9, 2023
Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods. Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up. This article proposes a technique using Docker, an open-source platform designed to automate application deployment, scaling, and management, as a solution to these challenge
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