Technology
Hardware Acceleration for Transformer Inference
Quick fact
A single transformer inference call can require over a billion matrix multiplications, and specialized accelerators like GPUs can perform thousands of these operations in parallel.
Why this is interesting
You ask an AI assistant a question and it answers instantly—but behind that speed is a battle between massive math and the chips that run it. How does hardware make a model with billions of parameters feel so fast?