Metnology

Storage Infrastructure Considerations for Artificial Intelligence Deep Learning Training Workloads in Enterprises

 

AI-driven applications are growing at a rapid rate and will continue to multiply over the next few years. But the storage and computing infrastructure behind those AI projects may not be sufficient. According to IDC, 62% of enterprises use managed services for training AI workloads and over 46% rely on infrastructure at a managed service provider location, However, legacy storage systems are still prevalent, and outdated storage architectures can pose serious challenges to training and scaling AI workloads. Download this IDC whitepaper to learn about the infrastructure and storage considerations for AI workloads and how NetApp storage and data management solutions support your AI development and applications.

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