How to choose the optimal infrastructure for your AI use cases
A framework for deciding between on-premises and cloud models
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Gartner report: Use This Decision Framework to Determine If Machine Learning Should Run in the Cloud
Dear Rupert,
Time is of the essence for determining the right deployment model for artificial intelligence (AI) workloads. However, infrastructure leaders should carefully assess whether to run machine learning (ML) and deep learning (DL) use cases in the cloud or on-premises.
By reading the Gartner report Use This Decision Framework to Determine If Machine Learning Should Run in the Cloud, we believe you will gain expert insights on how to increase the agility of your infrastructure and find out how to:
Determine an optimal infrastructure environment for new AI technology stacks
Evaluate AI development models across six key parameters
Deliver faster time to production for ML/DL projects
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