From Semiconductor Physics to AI Data Centers: Inside the Chip Supply Chain

I trace how AI computing hardware moves from transistor concepts and chip design toward fabrication, using NVIDIA’s GB300 Blackwell Ultra as a recurring example. The course connects technical building blocks with the companies, manufacturing tools, and supply-chain constraints behind them.

- Semiconductor fundamentals and GPU architecture: transistors, memory, compute dies, and inference
- Chip design and IP: CUDA, EDA workflows, ARM, and RISC-V
- Manufacturing and supply chain: foundries, yield, process nodes, wafer production, and fabrication equipment
- The coverage introduces a six-stage course plan, but this excerpt ends during the explanation of wafer fabrication rather than covering all six stages in full.

Designed for viewers with basic computer familiarity, this material offers a structured introduction to semiconductor hardware and industry roles without requiring prior expertise. Use the accompanying course slides and speaker notes to review concepts and follow up on topics relevant to your work or research.