As AI moves from predictive analytics to real-time autonomous decision-making, enterprises face a critical challenge: scaling AI securely and efficiently. This episode of the AI Proving Ground Podcast explores key takeaways from NVIDIA GTC, the evolving Cisco-NVIDIA partnership and the foundational role AI infrastructure plays in unlocking enterprise-scale AI. Featuring WWT VP of Networking and AI Solutions Neil Anderson, NVIDIA SVP of Networking Kevin Deierling and Cisco SVP of Networking Kevin Wollenweber, the episode covers insights into networking, security, and compute innovations, and how Cisco, NVIDIA and WWT are shaping the future of AI-powered businesses.

As part of the NVIDIA AI Computing by HPE portfolio, HPE Private Cloud AI is the industry's first full-stack, turnkey private cloud for AI. It delivers a unique, cloud-based experience to accelerate innovation, return on investment and manage enterprise risk from AI.

The world has been changed by AI and every business is trying to figure out how to leverage it. HPE Private Cloud solutions bring together optimized infrastructure and software in a unique cloud experience delivered through HPE GreenLake.

Watch an exclusive webinar where we  Go Beyond the headlines of Cisco Live 2025. We'll unpack the biggest announcements across Cisco's key focus areas —Security, Networking, and AI.

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.

As part of the NVIDIA AI Computing by HPE portfolio, HPE Private Cloud AI is the industry's first full-stack, turnkey private cloud for AI. It delivers a unique, cloud-based experience to accelerate innovation, return on investment and manage enterprise risk from AI.

Discover the latest addition to WWT's AI Proving Ground — the Cisco UCS C885A server. Technical Solutions Architect, Chris Braun, walks us through the unboxing of our newest hardware that is part of the Cisco Secure AI Factory with NVIDIA environment. Equipped with 8 NVIDIA H200 GPUs, this powerhouse is designed for LLM training, fine-tuning, inference, and Retrieval Augmented Generation (RAG).

In this video, we will guide you through upgrading your Liqid infrastructure from 3.4 to 3.5. The upgrade requires your Liqid stack to have some downtime, as the main portion updates your Liqid director server from Centos to Ubuntu. During this upgrade, all hosts and chassis will need to be powered off in order to complete the upgrade successfully.

WWT's Matt Halcomb walks us through the installation of the Cisco FlashStack AI environment in the AI Proving Ground. After the infrastructure is installed, Matt shows us the software component integration. We're excited to continue to build new environments with our partners.

For many, AI success isn't limited by how many GPUs you can buy; it's limited by how fast those GPUs can talk to each other without tripping over the plumbing. In this episode of the AI Proving Ground Podcast, two of WWT's top networking minds —Justin van Schaik and Eric Fairfield — lay out the real choke points slowing AI projects to a crawl and how powerful, modernized network architectures are quietly rewriting the rulebook for scaling AI.