Daniel Walsh

Learn how RamaLama's integration with libkrun and microVMs enhances AI model isolation, security, and resource efficiency for deployments.

RamaLama's new multimodal feature integrates vision-language models with containers. Discover how it helps developers download and serve multimodal AI models.

Dan Walsh dives into how container engines Podman and Docker handle SELinux, a crucial security solution for file system protection.

Explore how RamaLama makes it easier to share data with AI models using retrieval-augmented generation (RAG), a technique for enhancing large language models.

Discover how the RamaLama open source project can help isolate AI models for testing and experimenting.

The RamaLama project simplifies AI model management for developers by using OCI containers to automatically configure and run AI models.

Learn how to build a containerized bootable operating system to run AI models using image mode for Red Hat Enterprise Linux, then deploy a custom image.

Running Buildah within a container in Kubernetes, Podman, or Docker can be done easily and securely; we show how to set it up.