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 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.

The Cisco Secure AI Factory, developed in collaboration with ‪NVIDIA‬ and strategic partners, is a powerful solution that propels enterprises toward secure and rapid AI adoption. This integrated solution combines cutting-edge AI infrastructure, inherent security features, and advanced AI software tools, paving the way for transformative possibilities.

Cisco Secure AI Factory with NVIDIA is a scalable, high-performance, and secure AI infrastructure from Cisco, NVIDIA, and our strategic partners to help accelerate the adoption of AI for enterprises.

Cisco is thrilled to bring in WWTs VP of Engineering- Chris Pupillo, Benita Mordi from WWT and Joel Sprague – Cisco, as we dive into the AI in business discussion with some of the common pain points and questions customers are having as they dive into AI deployment and strategy for the first time.

Cisco Unified Edge integrates NVIDIA technologies to extend the performance and industry-specific capabilities of the platform.

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).

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

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.

As AI hype continues, the task of implementing and scaling AI initiatives is becoming increasingly complex and daunting. In this executive-led conversation between WWT's Neil Anderson and Cisco Senior Vice President of Compute, Jeremy Foster, learn about how Cisco's AI-ready infrastructure can help you accelerate the introduction of AI into all aspects of your organization. Jeremy and Neil talk about the growing partnership between Cisco, NVIDIA and WWT; new innovations coming out of Cisco like Cisco Nexus HyperFabric; and how you can make sense of the fast-moving AI landscape to make informed decisions that will drive outcomes for your business.

Redefine edge computing with a full stack platform that delivers data center performance, modularity, centralized management, and built-in security where you need it most.