Compare generative AI solutions in the ATC

Testing GenAI solutions against each other is the best way to reduce risk and accelerate the identification of the right solution for your business. Factors to consider include the technique, domain, intended purpose and business goals of the generation activity you hope to achieve; plus, the maturity of your high-performance architecture (HPA), data strategy and data delivery capabilities.

WWT clients can leverage our new AI Proving Ground to do just that. 

The AI Proving Ground is a state-of-the-art lab environment within the Advanced Technology Center (ATC) designed to accelerate the ability of clients and partners to experiment, test and innovate with hands-on access to the latest AI hardware, software and reference architectures — all in a secure, scalable and transparent manner.

WWT Reveals $500M Spend Planned For Helping Customers Adopt AI

CRN: Customers will have the ability to experiment and develop custom AI products and services before spending time, money and resources on an AI app.
News
•Dec 5, 2023
Learn more about the AI Proving Ground

Explore our AI services

GenAI has many applications across different domains and industries. Our experts have been delivering transformative AI-powered solutions for a decade. Learn more through our briefings, assessments, workshops and labs.

Retrieval Augmented Generation (RAG) - Programatic Lab

In this lab, we'll be focusing on the programatic steps of Retrieval Augmented Generation (RAG). First, we'll discuss data chunking, how we break down our documents. Then, we'll explore how these chunks become embeddings, numerical representations. Finally, we'll see how a vector database helps us efficiently retrieve this information.
Foundations Lab
50 launches

AMD Financial Stock Intelligence Agent

In this lab, you will have access to a deployment of an AMD blueprint for a Financial Stock Intelligence Agent. It is deployed on AMD Instinct MI250X instance in the ATC. Built using LangChain and powered by AMD Inference Microservices (AIM), this solution combines real-time market data, technical indicators, and large language model analysis to deliver AI-generated stock insights through an interactive web interface. Financial analysts and developers can explore how AMD's open AI stack accelerates inference for financial workflows.
Advanced Configuration Lab
1 launches

Hermes Agent - The Agent That Remembers You

Learn to deploy the Nous Research Hermes Agent, backed by NVIDIA Nemotron-3-Super-120B-A12B, as a persistent infrastructure co-pilot. This hands-on lab guides you through configuring persistent memory across multiple surfaces (the terminal, Mattermost, and a desktop app), enforcing custom engineering standards, and compiling repeatable infrastructure workflows into reusable skills.
Guided Demonstration Lab
3 launches

Gen AI Use Case Discovery Workshop

Unlock generative AI's potential with a unified vision and strategic roadmap. This workshop aligns business and tech leaders, prioritizing impactful use cases and eliminating guesswork, paving the way from concept to execution. Discover where AI can truly transform your organization.
Workshop
•4 hrs

Gen AI Hackathon

Workshop
•8 hrs

LLMaaS ChatBot

Compare large language models side by side using WWT's AI Proving Ground GPU cluster. Send the same prompt to multiple models at once and evaluate their responses in real time — measuring response speed, reasoning quality, and output style across leading open-source and proprietary models. No setup required. The lab environment connects automatically to the LLMaaS AI Gateway, giving you direct access to production-grade inference endpoints used by WWT's AI engineering teams.
Sandbox Lab
6 launches

How to Choose the Right LLM

This hands-on lab teaches enterprise engineers how to systematically evaluate, benchmark, and select optimal large language models for distinct steps inside an agentic control plane.
Advanced Configuration Lab

AI-Native Engineering Briefing

From coding assistants to autonomous coding agents, AI is reshaping how software gets built. This session explores the evolution of the modern SDLC—how no-code, low-code, and pro-code approaches are converging in an AI-native world—and what it means for developers, architects, and the organizations that depend on them. Attendees will leave with a practical lens on tooling, team readiness, and how to accelerate software delivery with AI as a core engineering partner.
Briefing
•1 hrs