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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?