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).

WWT's AI Factory is a purpose-built environment that helps enterprises accelerate AI adoption, scale securely and deliver measurable outcomes across industries.

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.

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.

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

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.

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.

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.

In collaboration with NVIDIA, WEKA enhances AI inference through open-source innovations like NIXL, optimizing data movement across GPU memory and storage, and supporting the open-source community for future AI advancements.

Many IT leaders view high-performance computing (HPC) and artificial intelligence (AI) as separate fields, but in truth, they are akin to the two sides of the same coin. HPC forms the backbone of AI, and by recognizing its synergistic potential to tackle business challenges, you can unlock enhanced insights, make smarter decisions, and propel innovation forward.

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.

An in-depth guide for IT decision makers navigating the complex IT landscape.