What's popular
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.
NVIDIA Blueprint: PDF Ingestion
NVIDIA Blueprints: PDF Ingestion, also known as NVIDIA-Ingest, or NV-Ingest, this blueprint is a scalable, performance-oriented document content and metadata extraction microservice. Including support for parsing PDFs, Word and PowerPoint documents, it uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images for use in downstream generative applications.
F5 AI Gateway
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.
Rethink Observability with a Modern, Composable Architecture
Take control of your telemetry data with a Composable Observability Architecture and liberate IT operations from tool constraints and limitations, telemetry data silos and fragmented operational views. Gain an enterprise-wide view, reduce complexity and drive efficiency at scale.
Red Hat OpenShift Disconnected Install Lab
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.
What's new
Virtual Cable Modem Termination Systems (vCMTS)
This learning path examines the key technologies shaping today's cable broadband networks. It covers the basics of DOCSIS infrastructure and RF spectrum splits, then dives into how things are evolving with virtual CMTS (vCMTS) and Distributed Access Architecture (DAA), and covers the basics of Precision Time Protocol (PTP). It all wraps up with a hands-on lab showcasing a vCMTS deployment on Red Hat OpenShift.
Intel vCMTS on Red Hat OpenShift Lab
Virtual CMTS (vCMTS) revolutionizes bandwidth management by virtualizing DOCSIS processing on x86 servers, paving the way for DOCSIS 4.0. Intel's Xeon 6 processors enhance encryption efficiency, while Red Hat's OpenShift Cloud Platform unifies workload management. This lab explores a deployment of vCMTS on OpenShift, showcasing performance insights via Grafana.
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.
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.
F5 AI Gateway (GPU Accelerated)
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.
F5 AI Gateway
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.
Introduction to OpenShift Virtualization for the Virtualization SME
Dive into the transformative world of OpenShift Virtualization as we highlight its pivotal role in the shift from traditional virtualization infrastructures to modern, Kubernetes-driven environments.
At the heart of this discussion is KubeVirt, an innovative extension for Kubernetes that enables the seamless management of virtual machines alongside container workloads. Through an explorative journey, we aim to unravel the complexities of KubeVirt, providing clarity on its origins, development and role in bridging legacy applications with cloud-native paradigms.
NVIDIA Blueprint: PDF Ingestion
NVIDIA Blueprints: PDF Ingestion, also known as NVIDIA-Ingest, or NV-Ingest, this blueprint is a scalable, performance-oriented document content and metadata extraction microservice. Including support for parsing PDFs, Word and PowerPoint documents, it uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images for use in downstream generative applications.
Rethink Observability with a Modern, Composable Architecture
Take control of your telemetry data with a Composable Observability Architecture and liberate IT operations from tool constraints and limitations, telemetry data silos and fragmented operational views. Gain an enterprise-wide view, reduce complexity and drive efficiency at scale.
Red Hat OpenShift 4.11 Sandbox
In this lab environment, you will walk through deploying your own OpenShift 4.11 cluster on vSphere. The deployment method walked through uses the 'Installer-Provisioned Infrastructure' method. Once deployed, use some of our linked use cases or carve your path to experience what OpenShift offers.
Red Hat OpenShift Disconnected Install Lab
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.
Adopt AI with confidence on integrated platform from Red Hat and Intel
Rapid advancements in AI, driven by data and advanced analytics, are transforming industries. WWT, with Red Hat OpenShift AI and Intel, simplifies AI deployment, offering secure, efficient solutions. Explore how this integrated stack can enhance your AI strategy, ensuring scalability, efficiency, and future-proofing for diverse applications.
Hands-On Lab Workshop: Introduction into OpenShift AI with Intel and Dell Infrastructure
Join us for the Virtual Lab Workshop! During this exclusive session, the host will launch the "Introduction to OpenShift AI with Intel and Dell Infrastructure" lab. This lab is designed to provide an environment to gain hands-on experience with the fundamental features of OpenShift AI. The environment that supports the lab is completely virtual, removing any hardware dependencies associated with physical infrastructure. This one-hour event is limited to 60 participants who will have the opportunity to engage in Q&A during the session. Attendees are encouraged to actively participate by launching the lab themselves alongside the host for a hands-on experience.
Modern Application Delivery Lab
This lab is an experience of an organization who aspires for digital transformation but fails to realize the technical quality and performance required to fulfill an innovative business objective. We'll walk through a scenario of a time-sensitive business strategy, common issues encountered during development and operations of a custom technology platform, then apply procedural adaptations which increase efficiency, security, and reliability for the technical foundation of the business solution.
Partner POV | OpenShift Virtualization with Veeam Kasten
Discover how Veeam's partnership with Red Hat combines their hybrid cloud expertise with Veeam Kasten's advanced data protection and mobility solutions to meet the critical needs of modern enterprises.
Automation.Day STL '24 - Automate VMWare migrations to OpenShift Virtualization with AAP
In this session, Stuart Kirk, Principal Solutions Architect, Red Hat, presented on how to utilize Ansible Automation Platform (AAP) to automate the migration of virtual machines to OpenShift Virtualization, bringing all the benefits Ansible provides: speed, scale, and consistency.
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.
A Working Kubevirt Tutorial
This post provides a step-by-step tutorial on manually adding KubeVirt to Kubernetes. It includes instructions on installing Kubernetes, KubeVirt base components, and creating and managing virtual machines. The tutorial also covers additional features such as console access, SSH login and VNC connection to the virtual machines.
Red Hat OpenShift AI Expands Predictive and Generative AI Flexibility Across the Hybrid Cloud
From on-premises datacenters to multiple public clouds to the edge, Red Hat OpenShift AI extends individualization and choice to help enterprises match intelligent workload boom. WWT weighs in.
Partner POV | F5 + Red Hat + WWT: Powering the Cloud Partner Ecosystem
It's been said that the best collaborations create something bigger than what any one organization can achieve on its own. That's the sentiment that guides F5's approach to their entire partner ecosystem—including the collaboration with Red Hat, the world's leading provider of enterprise open source solutions.