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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
AI Essentials
Welcome to the AI Essentials Learning Series. This series is designed to equip you with the knowledge and skills necessary to understand key aspects of Artificial Intelligence (AI). As AI continues to revolutionize industries and transform the way we live and work, it is crucial to understand the fundamental components that enable its remarkable performance. This series of learning paths will provide you with a comprehensive overview of AI, High Performance Storage, High Performance Networking, High Performance Compute, and Security, all tailored to the specific needs of AI applications.
Learning Series
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
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
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
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
The CTO's Roadmap to Generative AI Success
Generative AI (GenAI) is a powerful platform of capabilities with the potential to transform your organization's operations in unprecedented ways. As the CTO, you have a unique opportunity to drive that success.
WWT Research
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Aug 29, 2024
Introduction into OpenShift AI with Intel and Dell Infrastructure
Red Hat OpenShift AI, formerly known as Red Hat OpenShift Data Science, is a platform designed to streamline the process of building and deploying machine learning (ML) models. It caters to both data scientists and developers by providing a collaborative environment for the entire lifecycle of AI/ML projects, from experimentation to production.
In this lab, you will explore the features of OpenShift AI by building and deploying a fraud detection model. This environment is built ontop of Dell R660's and Intel Xeon's 5th generation processors.
Foundations Lab
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227 launches
Key Trends for Media, Gaming and Entertainment
This article aims to inform, inspire and guide the MEG industry on how to leverage the latest technologies to create immersive experiences, achieve business outcomes and stay ahead of the competition.
Article
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May 9, 2024
Facilities Infrastructure Priorities in the Age of AI
AI adoption is quickly gaining momentum in the enterprise space, but there are key priorities that data center operators and IT decision-makers need to consider regarding the hardware and design of their data centers, including power and cooling. Here are your facilities infrastructure priorities for 2024.
WWT Research
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Aug 1, 2024
The Battle of AI Networking: Ethernet vs InfiniBand
This article is not an exploration of who does Ethernet better so much as a direct examination of technology itself. Numbers will be reported as an aggregate means between major players in the AI Networking market and contrasted with equivalent InfiniBand performance. The goal is to answer, at an atomic level, one question: eliminating all other variables, is Ethernet good enough?
Blog
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Nov 3, 2024
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