Ollama & Local AI (Paperback)

Max Reedwell

ISBN 13: 9798273638556

Published by Independently Published, 2025

About this Item

Paperback. Frustrated by the high costs, slow latency, and data privacy risks of proprietary cloud LLM APIs? This book is the definitive, hands-on guide for AI developers, DevOps engineers, and technical leaders who are ready to take full control of their AI stack. Ollama & Local AI provides a practical, code-driven roadmap to self-hosting, fine-tuning, and deploying powerful open-source models like Llama and Mistral directly on your own hardware. Move beyond simple API consumption, gain absolute data sovereignty, and dramatically reduce your inference costs.This is not a high-level overview; it's a complete production playbook. Inside, you will find the precise, step-by-step instructions to: Master Installation: Set up and manage complete Ollama and LocalAI ecosystems, from simple scripts to production-ready Docker and Kubernetes deployments.Fine-Tune Custom Models: Learn to perform efficient LoRA and QLoRA fine-tuning using modern tools like Unsloth and Axolotl to create models with specialized skills.Optimize and Deploy: Convert, quantize, and merge models into the high-performance GGUF format using llama.cpp workflows for deployment in both Ollama and LocalAI.Build Secure APIs: Architect secure, high-throughput REST APIs for your models using an Nginx reverse proxy for enterprise-grade authentication.Orchestrate Workflows: Integrate your local models into complex LangChain pipelines to build powerful applications like Retrieval-Augmented Generation (RAG).Troubleshoot Like a Pro: Diagnose and solve common pitfalls in VRAM management, CUDA conflicts, and performance bottlenecks.Stop renting your AI. Build, deploy, and own your high-performance LLM infrastructure today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9798273638556

Bibliographic Details

• Title: Ollama & Local AI (Paperback)
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798273638556
• Binding: Paperback
• Condition: new

About this title

Synopsis

Frustrated by the high costs, slow latency, and data privacy risks of proprietary cloud LLM APIs?

This book is the definitive, hands-on guide for AI developers, DevOps engineers, and technical leaders who are ready to take full control of their AI stack. Ollama & Local AI provides a practical, code-driven roadmap to self-hosting, fine-tuning, and deploying powerful open-source models like Llama and Mistral directly on your own hardware. Move beyond simple API consumption, gain absolute data sovereignty, and dramatically reduce your inference costs.
This is not a high-level overview; it's a complete production playbook. Inside, you will find the precise, step-by-step instructions to:
Master Installation: Set up and manage complete Ollama and LocalAI ecosystems, from simple scripts to production-ready Docker and Kubernetes deployments.
Fine-Tune Custom Models: Learn to perform efficient LoRA and QLoRA fine-tuning using modern tools like Unsloth and Axolotl to create models with specialized skills.
Optimize and Deploy: Convert, quantize, and merge models into the high-performance GGUF format using llama.cpp workflows for deployment in both Ollama and LocalAI.
Build Secure APIs: Architect secure, high-throughput REST APIs for your models using an Nginx reverse proxy for enterprise-grade authentication.
Orchestrate Workflows: Integrate your local models into complex LangChain pipelines to build powerful applications like Retrieval-Augmented Generation (RAG).
Troubleshoot Like a Pro: Diagnose and solve common pitfalls in VRAM management, CUDA conflicts, and performance bottlenecks.
Stop renting your AI. Build, deploy, and own your high-performance LLM infrastructure today.