As enterprises move AI from experimentation to production, security failures are no longer isolated incidents—they are systemic risks embedded deep in infrastructure, data flows, and decision-making systems. In this episode of the AI Proving Ground Podcast, WWT's Istvan Berko, Cisco's DJ Sampath and NVIDIA's Ofir Arkin discuss why as AI becomes core infrastructure, security becomes the mechanism that determines whether that infrastructure scales or undermines itself.

As organizations move beyond experimentation, compute has become a deciding factor in whether AI delivers real value or stalls before production. In this episode of the AI Proving Ground Podcast, WWT VP Neil Anderson, NVIDIA VP Chris Marriott and Cisco VP Daniel McGinniss talk about how organizations are rethinking where AI runs, how it's secured and how value is measured.

As AI systems grow larger and more distributed, enterprises are discovering that performance, security and time-to-value depend less on individual components and more on how well the system moves, synchronizes and protects data at scale. In this episode of the AI Proving Ground Podcast, WWT's Justin van Schaik, Cisco's Dave Jansen and NVIDIA's Taylor Allison talk about how a well-designed network fabric extends time to value and decreases risk for AI initiatives.

As organizations struggle to move beyond AI pilots, a new architecture — Cisco's Secure AI Factory with NVIDIA — is emerging as a missing link between experimentation and real business outcomes. In this episode of the AI Proving Ground Podcast, WWT's Neil Anderson, Cisco's Kevin Wollenweber and NVIDIA's Chris Marriott discuss how the Secure AI Factory represents a shift from bolt-on protection to security built into the architecture itself.

As companies move from chatbots to agents, the hardest work isn't prompting — it's building an always-on, governable, cost-aware system that leaders can trust. In this episode of the AI Proving Ground Podcast, Cisco's President and Chief Product Officer Jeetu Patel, NVIDIA's Vice President, Americas Partner Organization Craig Weinstein and WWT CTO Mike Taylor discuss how Cisco's Secure AI Factory with NVIDIA is designed to close the gap between experimentation and execution by treating AI as infrastructure.

In this episode of the AI Proving Ground Podcast, WWT Co-founder and CEO Jim Kavanaugh and Cisco President Jeetu Patel break down the real constraints shaping the AI era and explore why platforms will define the next decade of enterprise innovation. They'll also talk about how secure, scalable architectures enable organizations to innovate confidently and compete at AI speed.

Cisco's Nicolas Sagnes and World Wide Technology's Bob Watson outline why the next generation of AI infrastructure must be engineered as a secure, observable, full-stack system — and why enterprises relying on pilots risk falling behind.

Achieving Large‑Model Accuracy with Faster, Cost‑Efficient Small Models.

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.

AI Canvas is Cisco's first Generative UI for cross-domain IT-a shared, intelligent workspace that brings real-time telemetry, AI insights, and team collaboration into one view.

Cisco's end-to-end solution to secure the AI transformation in enterprises.

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).