
Stevan Le Meur
Containers and Kubernetes made easy: Deep dive into Podman Desktop and new AI capabilities

#1about 2 minutes
Podman Desktop's journey to one million downloads
The tool has grown significantly based on community feedback, introducing new capabilities with each monthly release.
#2about 5 minutes
Core benefits of the Podman container engine
Podman provides a fast, secure, and daemonless architecture that enables rootless containers by default for a smaller attack surface.
#3about 4 minutes
Bridging local development and production with Podman Desktop
Podman Desktop simplifies the developer workflow by reducing the inconsistencies between local container setups and production Kubernetes environments.
#4about 7 minutes
Building and running a multi-container application
A live demo shows how to use the graphical interface to build container images from a Dockerfile and run them locally.
#5about 2 minutes
Grouping containers into pods for Kubernetes development
Learn how to group related containers into a pod to simplify networking and then deploy that pod to a local Kubernetes cluster.
#6about 3 minutes
Introducing Podman AI Lab for generative AI development
This new extension helps developers build, test, and run generative AI applications locally in containers with an intuitive interface.
#7about 6 minutes
Demo of a RAG application with Podman AI Lab
See how to use a pre-built recipe to run a local LLM with retrieval-augmented generation to answer questions using new information.
#8about 1 minute
Enabling GPU acceleration for local AI models
Experimental features are now available to provide GPU passthrough for containers on Mac and Windows, accelerating local model inference.
#9about 2 minutes
Future roadmap and getting started resources
The roadmap includes richer AI recipes and more language support, and you can get started with the open-source project via its website.
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