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 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.

Welcome to part 1 of the videos series about the RAG Lab Infrastructure built in collaboration with NetApp, NVIDIA, and World Wide Technology. This video series will take you behind the scenes of this state-of-the-art lab environment inside the AI Proving Ground from WWT, powered by the Advanced Technology Center.

WWT's Derek Elbert gives a behind the scenes look at the NetApp AI Pod in the AI Proving Ground. This environment is one of the few environments that is attached to a single NVIDIA DGX. Get an inside look into how we are using this environment to add value to our clients.

Welcome to part 2 about our RAG lab infrastructure built in collaboration with NetApp, NVIDIA, and WWT. NVIDIA NIM microservices is a suite of user-friendly microservices that facilitate the deployment of generative AI models, such as large language models (LLMs), embeddings, re-rankings, and others, across various platforms. NVIDIA NIM microservices simplify the process for IT and DevOps teams to manage LLMs in their environments, providing standard APIs for developers to create AI-driven applications like copilots, chatbots, and assistants. It leverages NVIDIA's GPU technology for fast, scalable deployment, ensuring efficient inference and high performance.

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

AI demands intelligent data infrastructure to deliver simplified data management while maximizing performance. With NetApp, you can turn AI opportunities into AI reality.