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AI Essentials
Welcome to the AI Essentials Learning Series. This series is designed to equip you with the knowledge and skills necessary to understand key aspects of Artificial Intelligence (AI). As AI continues to revolutionize industries and transform the way we live and work, it is crucial to understand the fundamental components that enable its remarkable performance. This series of learning paths will provide you with a comprehensive overview of AI, High Performance Storage, High Performance Networking, High Performance Compute, and Security, all tailored to the specific needs of AI applications.
Why Kubernetes is the Platform of Choice for Artificial Intelligence
This report explores Kubernetes' role in AI, analyzing its capabilities in managing AI workloads, its benefits over traditional infrastructure and its unique features that make it the platform of choice for AI.
WWT Agentic Network Assistant
Explore the WWT Agentic Network Assistant, a browser-based AI tool that converts natural language into Cisco CLI commands, executes them across multiple devices, and delivers structured analysis. Using a local LLM, it streamlines troubleshooting, summarizes device health, and compares configs, demonstrating the future of intuitive, AI driven network operations.
World Wide Technology Ai Roadshow Edinburgh
Join us in Edinburgh for Ai Roadshow, part of World Wide Technology's global series of events focused on moving AI from ambition to execution.
The Ai Roadshow brings together business and technology leaders for a focused afternoon of insight, dialogue and real-world perspective on enterprise AI adoption. Drawing on expert viewpoints, customer and industry examples, and structured discussion, the programme explores what it takes to accelerate AI outcomes, build AI solutions aligned to business priorities, and scale AI responsibly.
Building on two years of global delivery, Ai Roadshow reflects the lessons, patterns and realities emerging from enterprise AI adoption, offering a practical view of what is working, what is changing, and what comes next. During the session you will have the opportunity to talk to our experts about your AI journey.
Cloud, FinOps and AI: What You Need to Know About Unit Economics, GPUs and the ROI Flywheel
AI has pushed cloud into overdrive. In this episode of the AI Proving Ground Podcast, two of our top cloud experts — Jack French and Todd Barron — reset the approach and detail why cloud is the launchpad but portability is the strategy; how to start greenfield with containers and abstraction; what a real FinOps model for AI looks like (unit economics, tagging, token/GPU visibility); where neo clouds fit versus hyperscalers; and how to handle cross-cloud risk and skill gaps; and the governance moves that accelerate—not restrict—innovation.
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World Wide Technology Ai Roadshow Dublin
Join us in Dublin for an Ai Roadshow, part of World Wide Technology's global series of events focused on moving AI from ambition to execution.
The Ai Roadshow brings together business and technology leaders for a focused afternoon of insight, dialogue and real-world perspective on enterprise AI adoption. Drawing on expert viewpoints, customer and industry examples, and structured discussion, the programme explores what it takes to accelerate AI outcomes, build AI solutions aligned to business priorities, and scale AI responsibly.
Building on two years of global delivery, Ai Roadshow reflects the lessons, patterns and realities emerging from enterprise AI adoption, offering a practical view of what is working, what is changing, and what comes next. During the afternoon you will have the opportunity to talk to our experts about your AI journey.
World Wide Technology Ai Roadshow Edinburgh
Join us in Edinburgh for Ai Roadshow, part of World Wide Technology's global series of events focused on moving AI from ambition to execution.
The Ai Roadshow brings together business and technology leaders for a focused afternoon of insight, dialogue and real-world perspective on enterprise AI adoption. Drawing on expert viewpoints, customer and industry examples, and structured discussion, the programme explores what it takes to accelerate AI outcomes, build AI solutions aligned to business priorities, and scale AI responsibly.
Building on two years of global delivery, Ai Roadshow reflects the lessons, patterns and realities emerging from enterprise AI adoption, offering a practical view of what is working, what is changing, and what comes next. During the session you will have the opportunity to talk to our experts about your AI journey.
Why Kubernetes is the Platform of Choice for Artificial Intelligence
This report explores Kubernetes' role in AI, analyzing its capabilities in managing AI workloads, its benefits over traditional infrastructure and its unique features that make it the platform of choice for AI.
NVIDIA GPU Operator for Kubernetes
This is a learning path for the introduction of the deployment and lifecycle of AI infrastructure. Explore the NVIDIA GPU Operator, a Kubernetes-native tool that automates driver installation, container runtimes, and device plugins. Perfect for DevOps engineers aiming to streamline high-performance, GPU-accelerated clusters at scale.
Cisco Secure AI Factory with NVIDIA: Infrastructure Operations
In this learning path, we explore the software based orechestration and management of the Cisco Secure AI Factory data center. We explore Cisco Intersight, a SaaS-baased management platform, which allows a data center engineer to orchestrate and automate physical and virtual infrastructure. We also have a lab around the Cisco Nexus Dashboard Fabric Controller.
World Wide Technology Ai Day London
Join us in London for Ai Day, part of World Wide Technology's global series of full-day events focused on moving AI from ambition to execution.
Ai Day brings together business and technology leaders for a focused day of insight, dialogue and real-world perspective on enterprise AI adoption. Drawing on expert viewpoints, customer and industry examples, and structured discussion, the programme explores what it takes to accelerate AI outcomes, build AI solutions aligned to business priorities, and scale AI responsibly.
Building on two years of global delivery, Ai Day reflects the lessons, patterns and realities emerging from enterprise AI adoption, offering a practical view of what is working, what is changing, and what comes next.
Generative AI Fundamentals
This lab will walk the lab user through the basics of Generative AI
NetApp AIPod Mini Environment
Explore the NetApp AIPod Mini integrated with Intel® AI for Enterprise RAG. This lab automates the deployment of a secure, scalable ChatQ&A pipeline on Kubernetes. Leverage Intel® Xeon® and Gaudi® accelerators to transform enterprise data into insights, featuring one-click deployment, hardware optimization, and comprehensive observability for production-ready AI workloads.
HPE Private Cloud AI
In this learning path we will take you through HPE Private Cloud AI or HPE PCAI. We will guide you through all the components that make up the solution such as HPE GreenLake, Private Cloud AI, HPE Morpheus VM Essentials, GreenLake for Files storage array, HPE Ezmeral Container Platfrom and Aruba/NVIDIA switches. We will also allow you to interact with some hands on labs that will take you into both of our physical HPE Private Cloud AI environments including a small and medium setup.
Cisco's 2026 agenda prioritizes AI-ready infrastructure, connectivity
World Wide Technology recently published its IT infrastructure Modernization Priorities for 2026 report, which reinforced that the rise of AI has heightened the importance of IT modernization. Cisco's wide-ranging partnership with NVIDIA reinforces its plans to promote that kind of modernization.
Introduction to NVIDIA NIM for LLM
This learning path introduces NVIDIA NIM for LLM microservices, covering its purpose, formats, and benefits. You'll explore deployment options via API Catalog, Docker, and Kubernetes, and complete hands-on labs for Docker and Kubernetes-based inference workflows—building skills to deploy, scale, and integrate GPU-optimized LLMs into enterprise applications.
AI Proving Ground: Cisco UCS C885A
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).
Hands-On Lab Workshop: WWT AI Agentic Network Assistant
Join our Virtual Lab Workshop to explore the Agentic Network Assistant proof-of-concept. This hands-on session introduces a browser-based application that simplifies network operations through natural language inputs, powered by the Llama 3.3-70B local language model. See how real-time interaction with Cisco Nexus devices bridges the gap between human intent and device-level configuration or diagnostics. Experience practical labs and real-world scenarios that demonstrate how AI can accelerate workflows and reduce operational complexity. Engage with experts and get your questions answered during live Q&A.
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Deploy NVIDIA NIM for LLM on Kubernetes
NVIDIA NIM revolutionizes AI deployment by encapsulating large language models in a scalable, containerized microservice. Seamlessly integrate with Kubernetes for optimized GPU performance, dynamic scaling, and robust CI/CD pipelines. Simplify complex model serving, focusing on innovation and intelligent feature development, ideal for enterprise-grade AI solutions.
Deploy NVIDIA NIM for LLM on Docker
This lab provides the learner with a hands-on, guided experience of deploying the NVIDIA NIM for LLM microservice in Docker.
How AI Agents Are Transforming IT Ops
AI agents are moving from hype to the heart of enterprise IT. In this episode of the AI Proving Ground Podcast, Eric Jones and Ruben Ambrose — two leading AI experts — explore how intelligent, human-guided systems are transforming IT service management, incident response and operational scale to deliver faster resolutions, stronger security and smarter decisions across the enterprise.
NVIDIA Run:ai for Platform Engineers
Welcome to the NVIDIA Run:ai for Platform Engineers Learning Path! This learning path is designed to build both foundational knowledge and practical skills for platform engineers and administrators responsible for managing GPU resources at scale. It begins by introducing learners to the key components of the NVIDIA Run:ai platform, including its Control Plane and Cluster, and explains how NVIDIA Run:ai extends Kubernetes to orchestrate AI workloads efficiently. The learning path then covers essential topics such as authentication and role-based access, organizational management through projects and departments, and workload operations using assets, templates, and policies. Learners will also explore GPU fractioning to understand how NVIDIA Run:ai maximizes GPU utilization and ensures fair resource allocation across teams. All this builds toward a hands-on lab experience designed to reinforce your learning and give you practical experience working directly with NVIDIA Run:ai.
Cisco UCS and NVIDIA RTX PRO 6000 Server Edition: Powering the Next Wave of Enterprise AI
By combining NVIDIA RTX PRO™ 6000 Blackwell Server Edition with Cisco UCS servers, enterprises gain a powerful and scalable foundation for AI and visualization workloads.
Can AI Be Trusted to Run Critical Networks?
Artificial intelligence is firmly in the heart of the world's most critical infrastructure — the massive networks that keep our digital lives running. In this episode of the AI Proving Ground Podcast, two of our top trusted advisors to the world's largest network operators — Dave Clough and Yohannes Tafesse — break down the high-stakes reality of applying AI at scale, the often-overlooked work of preparing data and building trust, and why the lessons emerging from telecom will shape how every enterprise approaches AI in mission-critical environments.