A Scalable Multi-Cloud Framework for AI Model Lifecycle Management

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.

Abstract