High-Performance Architecture (HPA)

High-Performance Architecture

High-Performance Architecture (HPA)

HPA serves as the foundation for modern AI infrastructure by integrating high-performance computing, AI/ML 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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High-performance architecture strategy

AI Factory built on high-performance architecture

High-performance architecture (HPA) is a purpose-built platform designed to process massive volumes of data and solve complex problems at high speed. As the foundation of scalable, production-ready AI infrastructure — what we call the AI Factory — HPA integrates high-performance computing (also referred to as accelerated computing), high-performance networking and high-performance storage, as well as workflow orchestration and infrastructure management to support AI across cloud, on-premises and hybrid environments.

Explore the AI Proving Ground

Learn how WWT has developed and deployed AI solutions on high-performance architectures through our AI Proving Ground. This unrivaled blend of multi-OEM infrastructure, software and cloud connectivity is designed to accelerate the decision-making process when it comes to AI-powered solutions.

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Core capabilities of AI infrastructure

High-performance architecture is critical to AI infrastructure

High-performance architecture is essential across every phase of the AI workflow, from model development to deployment. Purpose-built to support fast training, tuning and real-time intelligent interaction, HPA enables enterprises to unlock the full value of their AI investments and build infrastructure that drives growth and agility.

High-performance computing (HPC)

The right amount of combined CPU and GPU processing power is needed to train and run modern AI engines. This combination allows AI models to process large datasets and complex computations quickly and efficiently.

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High-performance storage

The ability to reliably store, clean and scan massive amounts of data is required to train AI/ML models. Fast, scalable storage supports real-time access and minimizes delays during training and inference.

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High-performance networking

AI/ML applications require extremely high-bandwidth and low-latency network connections. These connections allow rapid data transfer between distributed systems, boosting collaboration and performance.

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AI workflow orchestration & infrastructure management

The coordinated management and optimization of AI workloads, resources and infrastructure to ensure efficient, scalable and reliable AI operations across environments.

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High-performance architecture insights

Explore what's new in AI infrastructure

Shaping a New Future: How a Bitcoin Mining Company is Venturing into AI/HPC with WWT

When the crypto climate cooled, this Bitcoin mining leader didn't hunker down — they geared up. With a bold vision to diversify from Bitcoin mining into the high-growth world of AI and high-performance computing, the company partnered with WWT to transform untapped potential into a successful new business model.

Case Study

The NVIDIA–Cisco Spectrum-X Partnership: A Technical Deep Dive

NVIDIA and Cisco's Spectrum-X partnership combines best-of-breed software and hardware into a multivendor ecosystem. This partnership enhances scalability, flexibility, and vendor interoperability, addressing the critical demands of AI/ML workloads. The collaboration promises a high-performance Ethernet fabric, redefining load balancing and congestion control for the AI era.

Blog

•Jul 3, 2025

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

Workload Management & Orchestration Series: Slurm Workload Manager

This series explores various workload management and/or orchestration tools at a high level to help you understand each tool's characteristics beyond the marketing hype. This blog covers Slurm.

Blog

•Jun 16, 2025

Facilities Infrastructure - AI Readiness Assessment

Is your data center AI-ready? Our AI Readiness Assessment evaluates critical infrastructure aspects to ensure efficient AI integration. Identify gaps, optimize systems and future-proof your organization for growth and innovation. Unlock the power of AI and stay ahead of the competition.

Assessment

WWT Agentic Network Assistant

Explore the WWT Agentic Network Assistant, a browser-based AI tool that converts natural language into Cisco CLI commands, executes them across multiple devices, and delivers structured analysis. Using a local LLM, it streamlines troubleshooting, summarizes device health, and compares configs, demonstrating the future of intuitive, AI driven network operations.

Foundations Lab

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High-Performance Architecture Briefing

Businesses cannot be high performing unless their architecture is also high performing. In this briefing, you will gain an understanding of high-performance architectures, focusing on maximizing computational power and efficiency in processors, memory, storage and networking.

Briefing