Building Production LLM Systems: The Practitioner's Guide to Open-Source AI: Design, Deploy, and Fine-Tune LLaMA, Mistral, and Self-Hosted Language Mo

By Cedar Moon

Building Production LLM Systems is the comprehensive engineering guide for deploying open-source language models at enterprise scale. Written by Cedar Moon, a veteran who has shipped multiple million-dollar LLM systems, this practitioner's handbook covers everything from selecting the right model family (LLaMA, Mistral, Mixtral) to building production-ready infrastructure that rivals proprietary APIs.

Across 15 detailed chapters, you'll master quantization techniques that run 70B models on consumer GPUs, inference optimization strategies delivering 3-8 higher throughput, fine-tuning pipelines for 405B parameters on a single card, and RAG systems ready for regulatory scrutiny. The book includes production-tested code, real infrastructure cost models, security hardening for regulated industries, and MLOps patterns for continuous improvement.

This isn't theory-it's battle-tested wisdom from real deployments across finance, healthcare, and defense. Whether you're running your first 7B model or orchestrating a thousand-GPU cluster, you'll gain the complete playbook to build LLM systems that are faster, cheaper, and more secure than any API-while maintaining full ownership of your AI stack.

Stop renting intelligence. Start owning it.

• Format: Paperback
• Language: English
• ISBN: B0G52CDDVM
• ISBN13: 9798277266137
• Release Date: December 2025
• Publisher: Independently Published
• Length: 496 Pages
• Weight: 1.88 lbs.
• Dimensions: 1.0" x 7.0" x 10.0"