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April 6, 2026Open Access

A Scalable Multi-Cloud Framework for AI Model Lifecycle Management

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Key Points

The aim is to develop a scalable framework that effectively manages the lifecycle of AI models across multiple cloud platforms.
Developed a multi-cloud architecture for AI.
Created processes for transitioning from prototypes to production.
Implemented scalability features for optimal performance.
Demonstrated improved management of AI model lifecycles.
Enhanced scalability leads to efficient resource use.
Facilitated smoother transitions from prototype to production.

Implication

This framework manages AI model lifecycle from prototype to production-ready architecture, suggesting enhanced efficiency.

Abstract

A Scalable Multi-Cloud Framework for AI Model Lifecycle Management: From Prototype to Production-Ready Architecture

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Cite This Study

SOO SEOK LEE (2026) studied this question.

synapsesocial.com/papers/69d5f0bb74eaea4b11a7a1d9 https://doi.org/10.5281/zenodo.19435125

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