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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.
Beyond the GPU Rush: Matching AI Infrastructure to Business Outcomes
Organizations deploying modern, purpose-built infrastructure with the right mix of central processing units (CPUs), accelerators, and software based on specific workload requirements are reaping better business outcomes at a lower total cost of ownership (TCO).
Virtual Cable Modem Termination Systems (vCMTS)
This learning path examines the key technologies shaping today's cable broadband networks. It covers the basics of DOCSIS infrastructure and RF spectrum splits, then dives into how things are evolving with virtual CMTS (vCMTS) and Distributed Access Architecture (DAA), and covers the basics of Precision Time Protocol (PTP). It all wraps up with a hands-on lab showcasing a vCMTS deployment on Red Hat OpenShift.
Restaurant Chain Achieves High Accuracy on Food Measurement with Computer Vision Solution
This National Restaurant Chain, one of America's largest privately owned fast-food chains, wanted to improve its food measurement accuracy and kitchen workflow practices to ensure that menu items are always freshly available for customers.
Developing a Data Platform to Generate Student Insights
Grand Valley State University engaged World Wide Technology to build a public cloud-based data platform to serve as the foundation for enterprise reporting and analytics.
What's new
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.
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 | Dell Transforms AI PC Portfolio for Anywhere Productivity
New, simplified PC portfolio delivers modern designs, long battery life and enhanced AI performance.
Intel Brings Offline AI, Opportunity to Students in Guatemala
The solution is designed to be scalable and affordable, allowing for expansion to new schools, subjects, countries and languages.
Virtual Cable Modem Termination Systems (vCMTS)
This learning path examines the key technologies shaping today's cable broadband networks. It covers the basics of DOCSIS infrastructure and RF spectrum splits, then dives into how things are evolving with virtual CMTS (vCMTS) and Distributed Access Architecture (DAA), and covers the basics of Precision Time Protocol (PTP). It all wraps up with a hands-on lab showcasing a vCMTS deployment on Red Hat OpenShift.
Beyond the GPU Rush: Matching AI Infrastructure to Business Outcomes
Organizations deploying modern, purpose-built infrastructure with the right mix of central processing units (CPUs), accelerators, and software based on specific workload requirements are reaping better business outcomes at a lower total cost of ownership (TCO).
Intel vCMTS on Red Hat OpenShift Lab
Virtual CMTS (vCMTS) revolutionizes bandwidth management by virtualizing DOCSIS processing on x86 servers, paving the way for DOCSIS 4.0. Intel's Xeon 6 processors enhance encryption efficiency, while Red Hat's OpenShift Cloud Platform unifies workload management. This lab explores a deployment of vCMTS on OpenShift, showcasing performance insights via Grafana.
Cisco UCS M8 Series: 8th-Generation Compute Unleashed
From AI and analytics to virtualization and edge computing, Cisco's UCS M8 portfolio offers a comprehensive range of platforms designed to meet the demands of nearly any modern workload.
Why Ecosystems, Not Products, Will Define AI Success in Retail
AI success in retail transcends mere product selection, thriving instead on the convergence of edge and cloud technologies. This hybrid approach enables real-time personalization, inventory optimization and seamless customer experiences. Retailers embracing this synergy achieve superior growth and ROI, unlocking transformative capabilities beyond traditional methods.
Partner POV | Optimizing AI for Scaled Adoption
Generative AI is evolving, shifting from raw performance to balancing efficiency, cost, and security. As AI matures, organizations must optimize infrastructure and prioritize power efficiency to reduce costs and risks. Adapting to these changes ensures a competitive edge and fosters continued innovation in the rapidly advancing AI landscape.
Introduction into OpenShift AI with Intel and Dell Infrastructure
Red Hat OpenShift AI, formerly known as Red Hat OpenShift Data Science, is a platform designed to streamline the process of building and deploying machine learning (ML) models. It caters to both data scientists and developers by providing a collaborative environment for the entire lifecycle of AI/ML projects, from experimentation to production.
In this lab, you will explore the features of OpenShift AI by building and deploying a fraud detection model. This environment is built ontop of Dell R660's and Intel Xeon's 5th generation processors.
Person Tracking with Intel's AI Reference Kit
This lab focuses on implementing live person tracking using Intel's OpenVINO™, a toolkit for high-performance deep learning inference. The objective is to read frames from a video sequence, detect people within the frames, assign unique identifiers to each person, and track them as they move across frames. The tracking algorithm utilized here is Deep SORT (Simple Online and Realtime Tracking), an extension of SORT that incorporates appearance information along with motion for improved tracking accuracy.
Partner POV | Five Smart Things AI PCs Can Do
Discover how AI PCs revolutionize everyday tasks, enhancing security, boosting creativity, transforming gaming experiences and personalizing education.
Revolutionizing Education with the Power of AI Solutions
World Wide Technology, Intel, N50, and Hope Ignites, formerly Boys Hope Girls Hope, collaborate to bridge the digital divide in education. Utilizing AI and open-source LLMs on Intel servers, they collaborated to create an offline, multilingual educational chatbot for underserved regions. This scalable solution transforms learning experiences, ensuring accessibility and engagement for students globally.
WWT and Intel: Revolutionizing Education with the Power of AI Solutions
Learn more about this scalable solution that can transform learning experiences and provide accessibility to cutting-edge AI technology for students globally.
eBook: Rise Above the Cloud
An in-depth guide for CIOs and IT decision-makers to bridge the gap between cloud initiatives and business outcomes.
Intel Celebrates 2025 North America Partner of the Year Award Winners
Award recognizes outstanding partners for their excellence, collaboration and impact across Intel's ecosystem.
Beyond the Booth at Rocky Mountain Cyberspace Symposium
Discover insights from the Rocky Mountain Cyber Symposium, where WWT, along with partners Google, Cisco, Intel and Spectro Cloud, tackle cybersecurity challenges for the Department of Defense.
Beyond the Booth: WWT & Intel at Rocky Mountain Cyberspace Symposium
Discover key insights from the Rocky Mountain Cyber Symposium, where Keith Linenberger from WWT and Jason Dunn-Potter from Intel address pressing cyber threats to the Department of Defense and the innovative solutions being developed. This session highlights the collaboration between WWT and Intel, focusing on AI-driven security, advanced tactical edge computing and resilient cybersecurity systems.
Partner POV | Scaling GenAI: How Intel IT Is Building an Enterprise-Ready Generative AI Framework
Intel IT's new generative AI platform democratizes AI use across the company, empowering employees of all skill levels to enhance productivity. By integrating RAG capabilities, scalable models, and efficient data orchestration, Intel aims to create a secure, enterprise-level AI framework that transforms business processes and unlocks new efficiencies.