Watch WWT Co-Founder and CEO Jim Kavanaugh and NVIDIA Founder and CEO Jensen Huang talk about the evolution and future of AI. During the discussion, Jim and Jensen will also provide practical tips for implementing AI at scale within the enterprise.

Bonus episode! Jensen Huang's keynote at NVIDIA GTC 2025 reinforced that we are entering a new phase of AI-driven enterprise transformation — signaling a shift from AI as a supporting tool to AI as a decision-making and autonomous agent. In this special episode of the AI Proving Ground Podcast, we get quick-hit reaction from WWT experts on the ground at NVIDIA GTC 2025 — from new product announcements and its impact on the enterprise to innovative technology showcased on the floor and discussions behind the scenes.

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.

Fred Allen III, Software Engineer, gives a demonstration of Ellie, a digital human developed in the AI Proving Ground. This digital human is based on the NVIDIA​ AI Blueprint for building digital humans.​​ It can be deployed as a fully self-contained solution at the edge or scaled on-demand in corporate or cloud data centers. Its digital human knowledge base is customizable.

In this technical walkthrough, Fred Allen demonstrates how WWT created a sophisticated digital human named Ellie in just five weeks. Ellie is an innovative, AI-powered avatar capable of real-time, multilingual interactions. Fred explains the intricate process involving multiple technologies, including speech processing, a custom LLM for generating responses and audio-to-face technology for realistic facial animations. He details the hardware setup, software components and the seamless integration that allows Ellie to engage in context-rich conversations across languages. 

WWT's Matt Halcomb unboxes the highly anticipated Dell PowerEdge XE9680 system, also known as the Dell HGX. See how this system, part of the Dell Validated Designs for GenAI with NVIDIA, fits into WWT's AI Proving Ground lab environment.

A cloud managed, high performance, easy to deploy and operate, consolidated network - integrated with your Al stack.

WWT's Matt Halcomb unboxes a brand new NVIDIA DGX H100, offering a behind-the-scenes look at how this gold standard of AI infrastructure fits into our new AI Proving Ground lab environment within the ATC.

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.

In this technology demonstration, we will showcase the deployment of an AI workload using Cisco Intersight automation on a single UCS X-Series blade, leveraging a neighboring X440p (X-Fabric) with an NVIDIA A40 GPU. This demo will highlight the powerful capabilities of both Cisco Intersight and the Cisco AI Toolkit, which includes tools for AI model deployment, system monitoring, and resource management. By utilizing Miniconda for environment management, CUDA for GPU acceleration, and various large language models like Vicuna and Meta OPT, we will feed data into a retrieval-augmented generation (RAG) model.

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.