Tractica: Storage Architecture and Implementation Considerations for AI Deployments

Enterprise AI applications are data intensive. And as data workloads grow exponentially, many data scientists and engineers hit performance bottlenecks.

This Tractica research paper looks at five use cases that rely heavily on storage and addresses the challenges. The analysis aims to provide a glimpse of how storage plays a vital role in the AI infrastructure, and the opportunities that this is likely to unleash for both scientific research and businesses.

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