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60 results found

Intel® Gaudi® 3 AI accelerator brings a fresh choice to open GenAI solutions

Intel's Gaudi 3 AI accelerator offers a powerful, energy-efficient solution for generative AI, providing flexibility, scalability, and cost savings. This innovative technology supports diverse AI workloads and works with open standards based-systems, enabling organizations to maximize ROI and future-proof their AI infrastructure.
Article
•Jan 15, 2025

What is GPU-as-a-Service (GPUaaS) or GPU Cloud?

Discover the benefits of GPU-as-a-Service solutions or GPU Clouds, and how they can assist organizations in meeting diverse AI workload demands through a scalable, consumption-based service model.
Article
•Mar 27, 2025

The AI Proving Ground: Empowering IT Teams to Drive Their Organization's AI Success

The AI Proving Ground enables organizations to quickly, confidently and safely develop transformational AI solutions that deliver real business results in a fraction of the time.
Article
•Dec 3, 2024

The Basics of High-Performance Networking

Learn about the components of high-performance networking, including available transport technologies and the secret to making things go fast.
Article
•Jan 12, 2024

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).
Article
•Jun 26, 2025

Is Your Data Center Facility AI-Ready?

AI is transforming data center facilities. While traditional data centers support lower power densities, AI workloads demand significantly higher power per rack, necessitating infrastructure adaptations to meet these challenges.
Article
•Apr 11, 2024

Introduction to Arista's AI/ML GPU Networking Solution

AI workloads require significant data and computational power, with billions of parameters and complex matrix operations. Inter-network communication accounts for a significant portion of job completion time. Traditional network architectures are insufficient for large-scale AI training, necessitating investments in new network designs. Arista Networks offers high-bandwidth, low-latency and scalable connectivity for GPU servers, with features like Data Center Quantized Congestion Notification and intelligent load balancing. Arista's AI Leafs and Spines provide high-density and high-performance switches for AI networking. Different network designs are recommended based on the size of the AI application. A dedicated storage network is recommended to handle the large datasets used in AI training. Arista's Cloud Vision Portal and AI Analyzer tools provide automated provisioning and deep flow analysis. Arista's IP/Ethernet switches are well-suited for AI/ML workloads, offering energy-efficient interconnects and simplified network management.
Article
•Jun 25, 2024

AI Readiness and the Role of High-Performance Architecture (HPA)

Learn how WWT and Dell Technologies are partnering to help our clients overcome the barriers to enterprise AI adoption through purpose-built HPA.
Article
•Feb 6, 2024

Enterprise-Ready Supercomputing: The HPE Cray XD Approach to Agile AI Infrastructure

HPE Cray XD combines supercomputing power with enterprise agility, creating a "framemain" approach—offering mainframe-like integration while maintaining openness, allowing organizations to build scalable AI infrastructure without ecosystem lock-in.
Article
•Apr 11, 2025

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.
Partner Contribution
•Jun 11, 2025

eBook: Infrastructure Built for Tomorrow

An in-depth guide for IT decision makers navigating the complex IT landscape.
eBook
•Oct 27, 2023

Glossary of Key Aspects Related to Data Center Readiness for AI Workloads

Data center readiness refers to the preparedness of a facility to handle the unique demands posed by AI workloads. As AI applications become more prevalent, understanding the impact on power, cooling, physical infrastructure and networking is crucial.
Article
•Apr 12, 2024

High-Performance Architecture (HPA)

HPA serves as the foundation for modern AI infrastructure by strategically combining high-performance computing workflows, artificial intelligence and machine learning development workflows, and core IT infrastructure components into a single architectural framework designed to meet the intense data demands of AI advanced solutions.

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