Overview
Explore
Expertise
Ecosystem
24 results found
Partner POV | Intel, Google Deepen Collaboration to Advance AI Infrastructure
Intel and Google collaborate to revolutionize AI and cloud infrastructure, emphasizing the synergy of CPUs and IPUs. This partnership aims to enhance performance, efficiency, and scalability, fostering a balanced AI system design. Together, they lay the groundwork for the next wave of AI-driven cloud services, driving global innovation.
Don't let aging technology hinder corporate goals – enable your IT infrastructure
Innovation today demands more than just visionary ideas; it requires robust infrastructure, especially for AI. Intel's latest processors offer scalable, efficient solutions to overcome IT challenges, enabling organizations to implement strategic initiatives effectively. Discover how Intel and WWT can help your business achieve its AI-driven goals.
Unlocking the Future of the Data Center: The Evolution of Dell PowerEdge Servers
Today's data centers are facing unprecedented pressure to do more, scale faster and spend less, making the choice of server infrastructure critical for optimizing efficiency, cost and performance.
AI Inferencing Without the Infrastructure Overhaul
How the NetApp AIPod Mini with Intel lets organizations put proprietary data to work in existing data centers, at department scale, without GPU complexity. AI inferencing doesn't have to mean GPU procurement, liquid cooling, or a rearchitected data center. The NetApp AIPod Mini with Intel was built for the organizations that already have the data — and need a production path that fits where they are today.
Enterprise AI at Scale: The Architecture Behind the NetApp AIPod Mini with Intel
Four layers. One validated stack. A clear path from deployment to enterprise-wide production. Deploying AI at enterprise scale requires the right architecture, not just the right ambition. This guide walks through the four-layer stack of the NetApp AIPod Mini with Intel, the deployment paths WWT supports, and the strategic data points that make the case for acting now.
Partner POV | Lenovo Completes 2026 ThinkPad Portfolio with Expanded AI PCs
Extending performance, mobility and enterprise flexibility across the ThinkPad lineup with the latest X13 and L Series AI-enabled laptops.
Partner POV | Dell Transforms AI PC Portfolio for Anywhere Productivity
New, simplified PC portfolio delivers modern designs, long battery life and enhanced AI performance.
Dell PowerEdge 16G Servers Designed to Support Ongoing Challenges of Today's IT Environments
Dell's current 16G PowerEdge server portfolio provides an exceptional solution for IT organizations seeking cutting-edge performance and versatility to tackle the challenges of today's enterprise data centers and high-valued workflow environments.
Partner POV | Intel Xeon 6 used as Host CPUs in NVIDIA DGX Rubin NVL8 Systems
Intel Xeon 6 powers NVIDIA DGX Rubin NVL8 systems, highlighting its pivotal role in orchestrating AI infrastructure. As AI shifts to real-time inference, Xeon ensures efficient orchestration, security, and scalability. This collaboration underscores Xeon's importance in modern AI, offering robust performance and compatibility for evolving workloads.
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.
Partner POV | 2024 AI Trends
In this article, Intel experts emphasize the importance of technical expertise and strategic planning as they outline their view on key AI trends for 2024.
Unlocking AI Performance with Intel's AMX Accelerator in 5th-Gen Xeon Processors
Intel's Advanced Matrix Extensions (AMX) in 5th-gen Xeon processors revolutionize AI computing by enabling efficient matrix operations directly on CPUs. Supporting models with up to 13 billion parameters, AMX offers a cost-effective and power-efficient alternative to GPUs, simplifying AI deployment and democratizing access to high-performance AI capabilities across diverse sectors.