Every smartphone has a neural engine. Every data center has custom AI accelerators. Learn how Apple, Google, and NVIDIA design chips that power machine learning — from systolic arrays and quantization to real silicon.
▶ Start with Day 1 — Why AI Chips?
Who this is for: Hardware engineers, AI researchers, chip designers, and anyone curious about how neural processors work. No chip design experience required.
What you'll learn: Why GPUs aren't enough. How systolic arrays work. Quantization techniques. Memory optimization. Real designs from Apple Neural Engine to Google TPU to NVIDIA Tensor Cores. By the end, you'll understand every layer of AI chip architecture.
New lessons publish regularly. Pair with How AI Chips Work, SystemVerilog Verification, and VLSI Design Hub.