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.

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.

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.

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

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.

Welcome to WWT's introductory lab on the Dell PowerStore storage platform. This foundational lab is designed to provide systems engineers with a comprehensive understanding of PowerStore's capabilities. You will learn how to monitor and manage the PowerStore storage array, provision both block and file volumes, and configure replication processes. This hands-on lab can be completed in under an hour, offering a quick yet thorough exploration of the PowerStore platform's features and functionalities. Welcome to WWT's introduction to the Dell PowerStore storage platform. This foundational lab is designed for systems engineers to gain hands-on experience with PowerStore. The lab covers essential tasks such the Initial Configuration, Dashboard Navigation, Storage Management, Host Management, Protection, Internal and External Migrations, Hardware Details, and Settings. Expect to complete this lab in under an hour, providing you with a comprehensive understanding of PowerStore's capabilities.

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 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.

Welcome to the Run:ai Researcher Sandbox hosted on Dell's Validated Design for Generative AI in the Enterprise.