ForceInjection/AI-fundamentals
A comprehensive learning resource collection covering AI infrastructure from hardware basics to advanced applications including GPU architecture, CUDA, LLMs, and AI agents.

This repository serves as a systematic learning guide for AI engineers and researchers, covering the complete technology stack from hardware fundamentals to deployment. Topics include GPU and TPU architecture, NVLink and PCIe interconnect technologies, CUDA programming for parallel computing, large language model foundations, distributed AI system design, and performance optimization techniques for enterprise deployment.