Announcing Operational AI with Docker Book by Ajeet Singh Raina & Harsh Manvar
Ajeet Singh Raina and Harsh Manvar have released a new book titled 'Operational AI with Docker,' aimed at helping developers learn how to build, ship, and run AI workloads using Docker tools. The book addresses common challenges in AI adoption, such as model selection, cost, and deployment complexity, by applying Docker's containerization principles to AI workflows. It provides a structured approach to operationalizing AI through tools like Docker Model Runner, MCP Toolkit, and Docker Sandboxes.
- ▪The book 'Operational AI with Docker' is published by Packt and is available in paperback and Kindle formats.
- ▪It addresses key challenges in AI adoption, including model selection, cloud dependency, reproducibility, and security.
- ▪The authors emphasize using Docker to extend the 'build, ship, run' philosophy to AI workloads, making them portable and scalable.
- ▪Docker serves as a packaging and runtime layer for AI, not an AI framework itself, enabling reproducible and shippable AI agents.
- ▪The book highlights the importance of choosing appropriate model sizes, advocating Small Language Models (SLMs) for efficiency and cost-effectiveness.
Opening excerpt (first ~120 words) tap to expand
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).