Accelerating AI solutions through HPA

Adding a layer of AI to your organization's existing IT capabilities can seem simple, especially given the explosion of off-the-shelf AI solutions flooding the market. But how can you be sure a given AI product is right for your business?

The simple answer is by testing different AI solutions against each other.

In a first-of-its-kind composable lab environment, WWT clients can now compare, contrast and train AI solutions using the latest high-performance architectures (HPA), hardware, and software from leading AI/ML innovators like NVIDIA.

Our new AI testing labs are a logical continuation of our long-term investment in AI/ML research and development, our extensive partner ecosystem, and more than three decades of designing, implementing, securing and optimizing complex IT environments to deliver game-changing business results.

Explore more AI services from WWT

Responsible AI

WWT is committed to Responsible AI — the practice of designing, developing and deploying AI systems in ways that are safe, ethical and fair.

The types of possible harm to be cognizant of when developing AI systems include unintended bias, inaccuracy, unfairness, a lack of transparency in how decisions are made, discriminatory outcomes, invasions of privacy, regulatory and legal noncompliance, a negative impact on employment opportunities, and more.

By considering the potential risks and benefits of AI systems from a holistic perspective, organizations can take steps to mitigate any prospective harm that may occur downstream as they pursue the many exciting benefits of AI.

AI Drivers License

The Artificial Intelligence (AI) Driver's License is a new WWT initiative aimed at ensuring we are using AI safely and effectively for our customers. The Driver's License is a way for us to validate and certify that our employees have mastered basic AI competencies and are leveraging current AI best practices in all of our client engagements. This is WWT's public version of the AI Drivers License learning path and is encouraged to be shared with others!
Learning Path

Generative AI

Generative AI is a cutting-edge technology that has been making waves across various industries in recent years. Unlike traditional AI systems that are designed to analyze and interpret existing data, generative AI has the remarkable ability to create entirely new content, from text and images to music and even code. This revolutionary technology leverages complex machine learning algorithms and neural networks to understand patterns and structures in vast amounts of data, enabling it to generate original and often highly realistic outputs. As generative AI continues to evolve and improve, it promises to transform creative processes, problem-solving, and innovation across numerous fields, from art and entertainment to scientific research and product development. Learn about what Generative AI is and how it works, in this Learning Path.
Learning Path

Introduction to AI

This Learning Path aims to provide a fundamental understanding of AI, from it's earliest beginnings, to current state, and its potential future developments, making it accessible to readers with varying levels of technical expertise.
Learning Path

AI Security

In this learning path you will gain a fundamental understanding of AI security by exploring topics such as the AI development lifecycle, data flow during this lifecycle, as well as attack surfaces present in the AI development lifecycle. You will also learn about topics such as the attacks that AI models face and the risks of user data and privacy when it comes to AI.
Learning Path

LLM Security

In this learning path, you will gain a fundamental understanding of Large Language Model (LLM) security. Through a series of articles and videos you will explore topics like what is an LLM, data security risks, the OWASP Top 10 for LLMs, strategies for defending LLM systems, and the critical role users play in maintaining security.
Learning Path

NVIDIA AI Enterprise

NVIDIA AI Enterprise (NVAIE) offers a robust suite of AI tools for various applications, including reasoning, speech & translation, biomedical, content generation, and route planning. It features community, NVIDIA, and custom models. NVAIE provides essential microservices such as NIM and CUDA-X used for security advisory, enterprise support, cluster management, and infrastructure optimization. Designed for cloud, data centers, workstations, and edge environments, NVAIE ensures scalable, secure, and efficient AI deployment.
Learning Path

Retrieval Augmented Generation (RAG)

RAG, or Retrieval-Augmented Generation, is an AI solution that combines the power of Generative AI with external data sources to provide more accurate and up-to-date responses. This Learning Path explains the concept of RAG, its origins, and how it addresses key limitations of traditional GenAI systems. You'll learn about the benefits of RAG, including enhanced accuracy, reduced hallucinations, and its flexibility in integrating real-time information without the need for constant model retraining.
Learning Path

High Performance AI/ML Networking

Today, network engineers, especially in the data center space, must acquire AI/ML infrastructure skills and be able to discuss the required infrastructure upgrades and the reasoning for the upgrades with upper management. At WWT, we are committing $500 million to help our customers with AI/ML, and we have launched a new series of Learning Paths to help the reader navigate complex AI topics. By mastering these areas, data center network engineers can effectively contribute to successfully implementing and managing advanced AI and HPC infrastructure, aligning technological capabilities with business objectives while maintaining a robust and secure network environment.
Learning Path