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 ONTAP AI 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.”
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