Agentic AI is changing the economics of enterprise infrastructure. In this episode of the AI Proving Ground Podcast, WWT's Jeff Fonke, NetApp's Mike Homer and NVIDIA's Jason Schroedle explain why how token economics are reshaping cloud and on-prem decisions and why AI-ready data may be the true foundation for enterprise AI success.

The new AI bottleneck is whether your enterprise data can be trusted, governed, and used at speed. Recorded live at NVIDIA GTC, this episode of the AI Proving Ground Podcast features Tore Sundelin of NetApp and Derek Elbert of World Wide Technology discussing why unstructured data, policy-based governance, data classification and unified AI data pipelines are becoming critical as enterprises push toward agentic AI and production-scale inference.

NetApp AFX and NetApp AI Data Engine power an enterprise-grade data platform for AI that enables customers to easily operationalize and accelerate secure and efficient AI data pipelines at scale — and realize the promise of the AI-powered enterprise.

Did you know that the inability to access data due to infrastructure is the primary reason most AI projects fail?

WWT's Advanced Technology Center runs one of the most demanding lab environments in the industry — 30,000+ VMs, 1,000 simultaneous on-demand labs, and continuous proof-of-concept work for customers and partners. In this video, Systems Architect Shawn Harvick walks through the installation of WWT's 5th generation of NetApp storage: the AFF A1K with MetroCluster IP. Joined by pre-sales architects Dale Darby and John Lochausen, the team shares why WWT has standardized on NetApp for over a decade — and what synchronous replication, zero RPO, and near-zero RTO mean in a real production environment. When WWT recommends a solution, it's because we've validated it ourselves. Come see what's possible at the ATC.

The NetApp ONTAP Foundations Learning Path is for new or prospective NetApp ONTAP administrators, to learn some of the basic concepts and processes of managing an ONTAP system.