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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.
Building AI-Ready Data Centers with Cisco
The rapid evolution of AI technologies is transforming enterprise operations and reshaping the data center landscape. As businesses look to harness AI's full potential, critical questions around data center performance and capacity arise.
Join WWT Senior Practice Manager for High-Performance Architecture Jeff Fonke as he talks with Cisco Fellow and Chief Architect of Global Solutions Engineering Matt Gillies as they discuss how you can unify networking, compute, security and observability to deliver AI-ready data centers. Jeff and Matt also talk about AI Pods that can accelerate AI model deployment with pre-validated, full stack systems; and other Cisco innovations making an impact on the AI landscape.
Model Context Protocol (MCP) - A Deep Dive
A deep technical dive into the specifics of how Model Context Protocol (MCP) works, how it relates to previous agentic systems and what the business implications are.
Scaling AI Across the Workforce to Empower Every Employee
In 2024, organizations laid the groundwork for AI transformation, and now in 2025, it's time to cement your AI strategy. Join WWT experts David Rosenblatt and Mike Davis as they share insights from our 2025 Digital Workspace Priorities research report. You'll hear their unique perspectives on treating AI like a new employee and guidance on transitioning from proof-of-concept to organization-wide AI implementation so you can empower every employee.
Scott Data Embraces AI Transformation to Offer GPU as a Service
Learn how a data center leader partnered with WWT to validate and execute a strategic vision for providing on-demand access to the advanced high-performance infrastructure required to run today's most demanding AI workloads.
What's new
Clinical Trial Patient Finder LLM
This article showcases the power of LLMs and RAG to reduce manual effort and improve consistency in one of clinical research's most persistent bottlenecks: patient matching.
NVIDIA Blueprint: Enterprise RAG
NVIDIA's AI Blueprint for RAG is a foundational guide for developers to build powerful data extraction and retrieval pipelines. It leverages NVIDIA NeMo Retriever models to create scalable and customizable RAG (Retrieval-Augmented Generation) applications.
This blueprint allows you to connect large language models (LLMs) to a wide range of enterprise data, including text, tables, charts, and infographics within millions of PDFs. The result is context-aware responses that can unlock valuable insights.
By using this blueprint, you can achieve 15x faster multimodal PDF data extraction and reduce incorrect answers by 50%. This boost in performance and accuracy helps enterprises drive productivity and get actionable insights from their data.
Drone Landing Identification an Intel AI Reference Kit Lab
This lab will walk you through one of Intel's AI Reference Kits to develop an optimized semantic segmentation solution based on the Visual Geometry Group (VGG)-UNET architecture, aimed at assisting drones in safely landing by identifying and segmenting paved areas. The proposed system utilizes Intel® oneDNN optimized TensorFlow to accelerate the training and inference performance of drones equipped with Intel hardware. Additionally, Intel® Neural Compressor is applied to compress the trained segmentation model to further enhance inference speed. Explore the Developer Catalog for information on various use cases.
Digital Realty Capabilities Overview
Overview of Digital Realty's data center, colocation and interconnection solutions.
Partner POV | Stage 1 on a journey to the Self-Driving Network™: data
Great AI demands great data. Juniper Networks' Self-Driving Network™ journey prioritizes user experience, leveraging real-time data and collaboration between data scientists and customer success teams. By transforming data into actionable insights, Juniper enhances network performance, empowering users and driving business outcomes.
Partner POV | The Transformative Power of AI: Driving Innovation, Security, and Growth
The rapid transition of AI from theoretical frameworks to practical applications is being fuelled by the convergence of data, advanced algorithms, and unprecedented computing power.
Partner POV | The Economic Benefits of HPE Private Cloud AI with NVIDIA AI Computing by HPE
Assessing the cost, performance, and security advantages of an integrated AI platform
What is AI Studio?
Discover how WWT's AI Studio can help organizations turn AI ideas into real business outcomes.
Pure Storage Enterprise AI in-a-Box with Intel Gaudi 3 and Iterate.ai
Iterate.ai's Generate platform pairs with Intel Xeon CPUs, Gaudi 3 accelerators, Pure Storage FlashBlade//S, and Milvus vector DB. Deployed via Kubernetes/Slurm, it scales quickly, needs minimal tuning, and runs Llama 3, Mistral, and Inflection to accelerate AI training, inference, and search for healthcare, life-science, and finance workloads.
Partner POV | Building Smarter Workloads with Intelligent Data Infrastructure
Managing complex data workloads can feel like juggling too many balls at once.
Workload Management & Orchestration Series: NVIDIA Run:ai
This series explores various workload management and/or orchestration tools at a high level to help you understand each tool's characteristics beyond the marketing hype. This article covers NVIDIA's Run:ai.
Fostering responsible AI: How WashU is building a smarter approach to risk and governance
When AI usage increased across departments, Washington University in St. Louis needed a way to manage it responsibly without slowing innovation. Learn how WWT helped the university assess its AI risk posture, align stakeholders and build a plan for a scalable governance framework.
Partner POV | A journey to the Self-Driving Network™ is built on trust in AI
Embark on a transformative journey to the Self-Driving Network™, where AI and automation revolutionize networking. Like self-driving cars, networks evolve through stages, building trust and enhancing reliability. Discover how AI augments human capabilities, enabling smarter networks and freeing IT teams to innovate.
Still Drowning in Your Data Lake?
Dear CIOs and CTOs, Congratulations! You finally convinced the board to invest millions in your data lake, and after only a decade of work, you've successfully centralized… well… a whole lot of unstructured sludge.
That single source of truth you promised? More like a single point of confusion.
And now — just as you're ready to sit back and bask in the glory of your petabyte-scale swamp — along comes something called agentic frameworks, and suddenly all that centralized data you've been hoarding seems about as useful as a dial-up modem at a 5G conference.
Let's talk about why it's time to reconsider your data strategy.
How Windsurf Has Revolutionized My Development Workflow
Windsurf revolutionizes software development by drastically reducing development time. It can automate code reviews, enforce coding standards and offer potential enhancements to QA processes. However, human oversight remains crucial, blending AI efficiency with expert judgment for optimal results.
5 Ways Retailers Are Using AI to Drive Growth, Loyalty and Efficiency
Not sure where to begin with AI? Consider these five essential use cases as starting points for transforming retail operations and customer experience with AI.
Key Takeaways from Downstream USA 2025
The year's premier downstream oil and gas event underscored that modernization depends on safety, trust, and frontline buy-in.
What AI Winners Know: The Build Matters More Than the Cloud Model
Despite ambitious AI goals and massive investments, many organizations are watching their initiatives stall before they ever deliver impact. In this episode of WWT Presents Research, Robb Boyd is joined by data scientist Ina Poecher and cloud architect Zaid Elkhateeb to explore why so many AI projects fail before the first model ever runs and how to change that. Discover how forward-thinking enterprises are closing the gaps between data science ambition and operational reality. Because real AI success doesn't start with a model, it starts with getting the groundwork right.
Partner POV | Dell Transforms AI PC Portfolio for Anywhere Productivity
New, simplified PC portfolio delivers modern designs, long battery life and enhanced AI performance.
Cisco AI Defense Capture the Flag (CTF)
Experience Cisco AI Defense in an interactive Capture the Flag (CTF), designed to showcase how Cisco is securing the future of GenAI.