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Local AI Deployment: From Laptop to Production

Real production code for deploying LLMs locally. Quantization, KV cache, vLLM, multi-GPU, edge devices, OpenAI-compatible servers. Full GitHub repo included.

16 chaptersFirst chapter free to preview

Full syllabus

1

Why Local AI Wins

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2

Hardware Foundations

3

Model Anatomy

4

Ollama Deep Dive

5

llama.cpp From the Ground Up

6

Quantization Theory

7

Hands-On Quantization

8

KV Cache and Attention

9

Inference Optimization

10

vLLM in Production

11

Apple Silicon + MLX

12

Multi-GPU Deployment

13

Edge Deployment

14

OpenAI-Compatible Server

15

Local RAG + Agents

16

Capstone: Production Deployment

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