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Learn to deploy and utilize Llamastack, a framework that standardizes core building blocks for AI-powered applications, through this hands-on conference talk from DevConf.CZ 2025. Discover how to run Llamastack locally as a container using either Ramalama or vLLM backends, then leverage the Llamastack server to build practical AI applications. Master containerizing Llamastack with remote backends, upgrade containers to Quadlet and systemd for enhanced automation and management, and implement real-world deployment strategies for AI applications. Gain practical experience running AI workloads in containers locally through guided demonstrations and hands-on exercises. Whether you're an AI developer, MLOps engineer, or container enthusiast, acquire the essential skills needed to efficiently deploy AI models in modern, containerized environments while exploring standardized approaches to AI application development.
