NVIDIA DGX H100 integration and validation environment for enterprise AI workflows.

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.

In this hands-on lab, you'll learn how to set up a disconnected installation of OpenShift, allowing you to deploy and manage OpenShift clusters in environments without direct internet access. You'll begin by downloading the necessary OpenShift components on a connected host, transferring them to a disconnected host, and proceeding with installing OpenShift on bare metal servers using the agent-based installer. By the end of this lab, you'll have a fully functional, disconnected OpenShift cluster. This lab is ideal for users working in secure or isolated environments where external connectivity is restricted or non-existent.

The Dell Reference Architecture environment is a full-stack solution that includes Dedicated Dell PowerSwitch High-Speed Networking, Dell PowerEdge Accelerator Optimized Compute nodes (XE9680 and R760xa servers), and Dell PowerScale Storage (F600 Array) as the hardware components and includes multiple MLOps and Kubernetes Platform solutions.

This lab will provide access to an Openshift cluster running the F5 AI Gateway solution. We will walk through how the F5 AI Gateway routes requests to different models by either allowing them to pass through or, more importantly, securing them via prompt injection checking. We have also added a couple of other tests that will allow for language detection of that input that the F5 AI Gateway can also detect.

The AI Proving Ground GPU-as-a-Service environment is a fully automated solution that enables WWT engineers to build physical server environments with different server, CPU, GPU, and Operating System options.

Discover the Dell Reference Architecture, a full-stack solution optimized for generative AI with cutting-edge Dell and AMD technologies. Experience hands-on configuration, MLOps, and Kubernetes platforms, while validating performance and efficiency. Accelerate your AI deployment and optimize data center operations with this comprehensive, high-performance environment.

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.

Dell PowerProtect is an enterprise data management solution that streamlines the process of monitoring, managing, and analyzing copies of data while also addressing copy sprawl. PowerProtect software is designed for self-service copy orchestration, automated Service Level Objective (SLO) compliance, and actionable insight that optimizes efficiency. This lab was designed to provide a foundational overview of Dell PowerProtect Data Manager. The following capabilities will be explored in this lab: - Data Protection and Recovery - VMware Integration and Protection - Microsoft SQL Server Protection - Simplified Management using the Graphical User Interface

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.

The "Dell PowerScale Sandbox" lab is designed to offer a hands-on experience with Dell's PowerScale storage solutions, allowing participants to explore and understand the capabilities and functionalities of the PowerScale family of products. This lab environment is a simulated, controlled setting where learners can experiment with PowerScale's advanced storage solutions without the risk of impacting real-world data or systems.

Welcome to WWT's introduction to Ansible automation for the Dell PowerStore storage platform. In this lab, you will learn the basics of how to automate fundamental Dell EMC PowerStore storage array administrative tasks utilizing Ansible. This lab is estimated to take under 1 hour to complete. The intended lab audience is a systems engineer with a basic understanding of PowerStore and Ansible components.