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.

Discover how WWT accelerates AI Factory deployments with advanced capabilities that enable secure, scalable and impactful AI

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.

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.

NVIDIA RTX PRO 6000 Blackwell Server Edition delivers groundbreaking capabilities for diverse applications, including multimodal AI inference, immersive content creation and scientific computing.

Unlock the full potential of your enterprise data with the Cisco Secure AI Factory, powered by NVIDIA and the VAST Data Platform. This integrated, secure, and scalable solution transforms fragmented data into intelligent, agentic AI applications, overcoming traditional barriers and enabling innovation with confidence. Embrace the future of enterprise AI today.

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

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).

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.

From digital twins to sustainable IT, these are eight trends our WWT data solutions experts are keeping their eyes on for 2023 and beyond.

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.