What if you could connect AI services and tools as easily as plugging in a USB-C cable? Discover how Model Context Protocol (MCP) and Llama Stack are revolutionizing AI development by creating a standardized, plug-and-play environment that simplifies how developers build and deploy powerful, portable AI applications on enterprise platforms like Red Hat OpenShift AI.
Join Philip Hayes, Principal Technical Marketing Manager at Red Hat, as he explains how these technologies create a unified, portable environment for AI. Learn how Llama Stack’s API and MCP’s service discovery simplify building complex applications. Philip breaks down how this approach gives developers the confidence to build locally and deploy on an enterprise scale, while allowing operations teams to manage AI applications with their standard GitOps workflows. This is your guide to building more resilient and adaptable AI solutions.
Timestamps:
00:00 – What is Model Context Protocol (MCP)?
00:37 – What is Llama Stack?
01:12 – Making AI apps portable with Llama Stack
01:40 – How Llama Stack and MCP integrate
02:22 – The Developer advantage: Build local, deploy to enterprise
03:28 – The Operations advantage: Manage AI with GitOps
04:25 – Why this matters for Red Hat customers
Explore how Red Hat is building a complete, enterprise-ready AI platform:
Read the Blog → Learn how Red Hat simplifies agentic AI development: https://www.redhat.com/en/blog/building-enterprise-ready-ai-agents-streamlined-development-red-hat-openshift-ai
Explore Red Hat OpenShift AI → The platform for building, deploying, and managing AI-powered applications: https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-ai
Discover Red Hat Enterprise Linux AI → The foundation for open source AI model development and runtime: https://www.redhat.com/en/technologies/linux-platforms/enterprise-linux/ai
#RedHat #OpenShiftAI #LlamaStack #ModelContextProtocol
