Type a question. Follow it through every physical layer that has to work before AI can answer.
Your question is broken into tokens, encrypted, and sent as a tiny data packet toward a data center that might be thousands of miles away.
Your prompt races through glass fiber at two-thirds the speed of light, bouncing off satellites or snaking along the ocean floor through 800,000+ miles of submarine cable.
Your prompt arrives at a building the size of several football fields. Big Tech is spending over $300 billion this year building more of them.
Your prompt gets split across 72 GPUs that talk to each other at terabytes per second.
Each GPU has 208 billion transistors flanked by towers of stacked memory feeding data at terabytes per second.
TSMC makes virtually all AI chips. A single dust particle can ruin a chip with billions of transistors smaller than a virus.
This is the foundation of everything. A laser hits tin, mirrors shape the light, and the pattern is printed onto a wafer. Only ~70 of these machines are built per year.
EUV light prints 70+ circuit layers, each aligned to sub-nanometer precision — a few atoms wide.
The wafer is cut, tested, and paired with HBM memory stacks on a single substrate.
Terabytes per second of bandwidth stream your context through stacked DRAM towers into the GPU die.
72 coordinated GPUs turn your question into the math that produces each next word.
The generated tokens leave the data center as packets, headed back across the network.
At two-thirds the speed of light, back across the ocean and into your local network.
Your device decrypts the tokens and the answer appears, character by character.
That answer depended on fiber networks, data centers, GPUs, advanced memory, and chip fabs running at extreme precision.