Overview
Explore
Expertise
Ecosystem
31 results found
What Cisco Live 2025 Revealed About the Future of Enterprise AI
At Cisco Live 2025, the networking giant rolled out a sweeping agenda to make AI not just powerful, but practical — and secure. In this episode, we caught up with leaders from Cisco, NVIDIA and WWT to talk about what this year's announcements actually mean for enterprise teams tasked with building scalable, secure, AI-ready infrastructure. From the rise of the Cisco Secure AI Factory with NVIDIA to the reality of agentic workflows and persistent inference traffic, this episode unpacks the architectural shifts reshaping the modern data center.
Accelerating Enterprise AI Results: Inside WWT's Cutting-Edge AI Proving Ground
Join WWT's Jeff Fonke as he reveals how enterprises can accelerate AI innovation using WWT's state-of-the-art AI Proving Ground. Explore breakthrough technologies and custom solutions spanning healthcare, manufacturing and finance. Learn how WWT helps organizations develop transformative AI applications—from multi-lingual digital humans to AI-powered document processing—reducing project timelines from months to weeks and driving tangible business outcomes through secure, scalable AI strategies.
AI Hype to Mission Impact: Dell Federal, NVIDIA and WWT's Government Playbook
Federal technology leaders reveal how to start small, set data‑cyber guardrails and scale fast — all without blowing the budget .
Listen to Dan Carroll (Dell Federal Field CTO), Ryan Simpson (NVIDIA Chief Technologist for Public Sector Partners) and Brandon Bulldis (WWT Federal Civilian Engineering Director) discuss how federal government agencies are sprinting from AI hype to real mission impact. Hear wins like multimodal chatbots and desk‑side AI supercomputers, plus three battle‑tested rules: guardrails first, design for surge and invest in people.
Watch or listen now and leave with a clear playbook for infrastructure, talent and funding.
The Future of AI with NVIDIA Founder and CEO Jensen Huang
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.
The Future of Interaction: Meet Ellie, WWT's Digital Human
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.
AI Proving Ground: Unboxing the NVIDIA DGX B200
Take a tour of the NVIDIA DGX B200. Technical Solutions Architect, Chris Braun, explains the new features of the NVIDIA Blackwell chipset. We will showcase how we are leveraging the NVIDIA DGX B200 to build learning paths, articles, proof of concepts, and discuss the use cases for educating our clients and internal staff.
AI at Scale: How Cisco, NVIDIA and WWT Are Powering the Future of Enterprise AI
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.
Building Ellie: WWT's Real-Time Multilingual Digital Human
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.
RAG Customized Multimodel Chatbot Demo
WWT's Knowledge Assistant, powered by NVIDIA's Multimodal PDF Data Extraction Blueprint, accelerates AI outcomes and minimizes hallucinations. Using retrieval augmented generation (RAG), build intelligent chatbots and AI agents that deliver accurate, context-rich insights from your enterprise data.
HPE Private Cloud AI - Introduction and Demo
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.
Overview of NVIDIA NIM Microservices
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.
Overview | AI-driven infrastructure for regulated workloads
Domyn, NVIDIA, WWT and Vertiv collaborated to deploy Colosseum—a sovereign AI data center purpose-built for regulated workloads.