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This book is a complete guide to building, deploying, and optimizing local large language model infrastructure for software development workflows. It covers everything from selecting the right GPU and assembling the workstation through serving quantized models, building RAG pipelines with vector databases, creating agentic coding assistants, and integrating local inference with Claude Code. Written for developers, researchers, and AI engineers who want full control over their AI stack. This is the practical reference you need to go from zero to a production-ready local AI development system.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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