Get the IDC report on AI storage infrastructure

AI applications are growing at an unprecedented rate, making it increasingly important to invest in enterprise-class storage infrastructure that has the capabilities AI requires.

In this IDC report, you’ll learn about:

• What to consider for your AI storage training infrastructure

• Enterprise deployment models

• When scaling beyond NFS is required

• Solutions for AI-driven workloads

Here’s a sneak preview of some of the insights:

“The more AI data pipeline stages can be consolidated onto a single storage platform, the better, and when that platform has the performance and scalability to support additional workloads beyond AI, enterprises can reap a great return on investment.”

“NetApp has really distinguished itself with its ability to partner with the hyperscalers to deliver first-party storage services offerings.”

“At the heart of AIPod are NVIDIA DGX compute systems, a fully integrated hardware and software turnkey AI platform that's purpose built for analytics, AI training, and AI inferencing.”

“Enterprises in the process of adding and/or scaling AI-driven workloads would do well to consider NetApp as the storage platform for these environments.”

Want to learn more? Read the full IDC report by filling out the form.