Podman Desktop

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Red Hat Dan on Tech: Episode 12 - How libkrun enhances AI, Security, Containers, Virtualization, and more

Daniel Walsh +1

Welcome back to Red Hat Dan on Tech, where Senior Distinguished Engineer Dan Walsh dives deep on all things technical, from his expertise in container technologies with tools like Podman and Buildah, to runtimes, Kubernetes, AI, and SELinux! In this episode, senior principal software engineer Sergio Lopez Pascual joins to deep dive into Libkrun and Krunkit about getting the most out of VM technology with containers and much more!

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Unlocking the Power of AI: Accessible Language Model Tuning with InstructLab

Cedric Clyburn +1

Let's take a look at how to effectively integrate Generative AI into an existing application through the InstructLab project, an open-source methodology and community to make LLM tuning accessible to all! Learn about the project, and how InstructLab can help to train a model on domain-specific skills and knowledge, then how Podman's AI Lab allows developers to easily setup an environment for model serving and AI-enabled application development.

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Red Hat Dan on Tech: Episode 2 - What to know when writing SELinux policies

Daniel Walsh +1

Welcome back to Red Hat Dan on Tech, where Senior Distinguished Engineer Dan Walsh dives deep on all things technical, from his expertise in container technologies with tools like Podman and Buildah, to runtimes, Kubernetes, AI, and SELinux! Let's talk about tips & tricks when writing SELinux policies, and how you can use containers to your advantage! This weekly series will bring in guests from around the industry to highlight innovation and things you should know, and new episodes will be released right here, on the Red Hat Developer channel, each and every Wednesday at 9am EST! Stay tuned, and see you in the next episode!

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Red Hat Dan on Tech: Episode 1 - Welcome to the Show

Daniel Walsh +1

Welcome to the new Red Hat Dan on Tech, where Senior Distinguished Engineer Dan Walsh dives deep on all things technical, from his expertise in container technologies with tools like Podman and Buildah, to runtimes, Kubernetes, AI, and SELinux! This weekly series will bring in guests from around the industry to highlight innovation and things you should know, and new episodes will be released right here, on the Red Hat Developer channel, each and every Wednesday at 9am EST! Stay tuned, and see you in the next episode!

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Getting Started with AI Lab on Podman Desktop

Cedric Clyburn +1

Kickstart your generative AI application development journey with Podman AI Lab, an open-source extension for Podman Desktop to build applications with LLMs on a local environment. The Podman AI Lab helps to make AI more accessible and approachable, providing recipes for example use cases with generative AI, curated models sourced from Hugging Face, model serving with integrated code snippets, and a playground environment to test and adjust model performance. Learn more on Red Hat Developer https://developers.redhat.com/product... and download Podman Desktop today to get started!

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Red Hat Dan on Tech: Episode 3 - Podman, Quadlet, Systemd, and beyond!

Daniel Walsh +1

Welcome back to Red Hat Dan on Tech, where Senior Distinguished Engineer Dan Walsh dives deep on all things technical, from his expertise in container technologies with tools like Podman and Buildah, to runtimes, Kubernetes, AI, and SELinux! Let's talk about Podman and containers when it comes to Systemd, and how technologies like Quadlet abstracts the complexities of running containers under Systemd, featuring Principal Software Engineer Ygal Blum.

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Generative AI Development with Podman AI Lab, InstructLab, & OpenShift AI

Cedric Clyburn +1

Let's take a look at how you can get started working with generative AI in your application development process using open-source tools like Podman AI Lab (https://podman-desktop.io/extensions/...) to help build and serve applications with LLMs, InstructLab (https://instructlab.ai) to fine-tune models locally from your machine, and OpenShift AI (https://developers.redhat.com/product...) to handle the operationalizing of building and serving AI on an OpenShift cluster.

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Podman Desktop for working with Containers & Kubernetes

Cedric Clyburn +1

Podman Desktop is a free, open-source tool that lets developers work with containers and Kubernetes from their local environment. It offers an easy-to-use dashboard to interact with and manage containers, images, pods, and more, powered by the Podman container engine. For developers and IT operations, Podman Desktop provides the capabilities to streamline the container development lifecycle, and bridges with the Kubernetes environment for simplified development and testing of containerized applications.

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Our top learning paths of 2024

Dee-Ann LeBlanc

Learn the basics of Kubernetes, Ansible, AI, and more with these popular learning paths, and get hands-on experience using the no-cost Developer Sandbox.

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5 ways developers benefit from Red Hat OpenShift

Valentina Rodriguez Sosa

Download this 15-page e-book to explore 5 key ways OpenShift benefits developers, including integrated tools and workflows and simplified AI app development.

Podman Desktop
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Podman Desktop

Build, manage, and deploy containers and Kubernetes locally with desktop

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How to use RHEL as a WSL Podman machine

Jeff Maury

Learn how you can run RHEL on Windows as a Windows Subsystem for Linux distribution using Red Hat Enterprise Linux image builder.

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From Podman AI Lab to production: Implementing enterprise-ready generative AI

Cedric Clyburn +1

As enterprises seek to utilize the power of generative AI, they often struggle with the transition from experimentation to production-ready solutions. This talk will guide you through the steps needed to build an enterprise-grade generative AI application, starting with local experimentation using Podman AI Lab and finishing in a scalable, secure deployment on Red Hat OpenShift AI.

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Introducing GPU support for Podman AI Lab

Evan Shortiss +1

With GPU acceleration for Podman AI Lab, developers can inference models faster and build AI-enabled applications with quicker response times.