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.

NVIDIA Blueprint: Enterprise RAG

NVIDIA's AI Blueprint for RAG is a foundational guide for developers to build powerful data extraction and retrieval pipelines. It leverages NVIDIA NeMo Retriever models to create scalable and customizable RAG (Retrieval-Augmented Generation) applications. This blueprint allows you to connect large language models (LLMs) to a wide range of enterprise data, including text, tables, charts, and infographics within millions of PDFs. The result is context-aware responses that can unlock valuable insights. By using this blueprint, you can achieve 15x faster multimodal PDF data extraction and reduce incorrect answers by 50%. This boost in performance and accuracy helps enterprises drive productivity and get actionable insights from their data.
Sandbox Lab
140 launches

Drone Landing Identification an Intel AI Reference Kit Lab

This lab will walk you through one of Intel's AI Reference Kits to develop an optimized semantic segmentation solution based on the Visual Geometry Group (VGG)-UNET architecture, aimed at assisting drones in safely landing by identifying and segmenting paved areas. The proposed system utilizes Intel® oneDNN optimized TensorFlow to accelerate the training and inference performance of drones equipped with Intel hardware. Additionally, Intel® Neural Compressor is applied to compress the trained segmentation model to further enhance inference speed. Explore the Developer Catalog for information on various use cases.
Advanced Configuration Lab
31 launches

Pure Storage Enterprise AI in-a-Box with Intel Gaudi 3 and Iterate.ai

Iterate.ai's Generate platform pairs with Intel Xeon CPUs, Gaudi 3 accelerators, Pure Storage FlashBlade//S, and Milvus vector DB. Deployed via Kubernetes/Slurm, it scales quickly, needs minimal tuning, and runs Llama 3, Mistral, and Inflection to accelerate AI training, inference, and search for healthcare, life-science, and finance workloads.
Advanced Configuration Lab
1 launch

Cisco AI Defense Capture the Flag (CTF)

Experience Cisco AI Defense in an interactive Capture the Flag (CTF), designed to showcase how Cisco is securing the future of GenAI.
Advanced Configuration Lab
255 launches

Crafting Your First AI Agent

Embark on a journey to create AI agents with "Crafting Your First AI Agent." This hands-on lab introduces LangChain, LangGraph, and CrewAI frameworks, empowering you to build, run, and understand AI agents. Discover the intricacies of AI workflows and multi-agent systems, transforming curiosity into practical expertise.
Foundations Lab
102 launches

NVIDIA Run:ai Researcher Sandbox

This hands-on lab provides a comprehensive introduction to NVIDIA Run:ai, a powerful platform for managing AI workloads on Kubernetes. Designed for AI practitioners, data scientists, and researchers, this lab will guide you through the core concepts and practical applications of Run:ai's workload management system.
Sandbox Lab
132 launches

Person Tracking with Intel's AI Reference Kit

This lab focuses on implementing live person tracking using Intel's OpenVINO™, a toolkit for high-performance deep learning inference. The objective is to read frames from a video sequence, detect people within the frames, assign unique identifiers to each person, and track them as they move across frames. The tracking algorithm utilized here is Deep SORT (Simple Online and Realtime Tracking), an extension of SORT that incorporates appearance information along with motion for improved tracking accuracy.
Advanced Configuration Lab
38 launches

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
311 launches