Most people think AI runs on GPUs.
That's like saying the internet runs on browsers.
Modern AI is powered by an entire ecosystem of processors:
๐ง CPU โ Coordinates everything
โก GPU โ Trains massive models
๐ท TPU โ Accelerates tensor operations
๐ฑ NPU โ Brings AI to phones & laptops
๐ LPU โ Delivers ultra-fast LLM responses
๐ DPU โ Handles networking, security & data movement
The interesting part?
Every AI breakthrough depends on ALL of them working together.
A trillion-parameter model is useless if:
โข Data can't reach it fast enough
โข Inference is too expensive
โข Edge devices can't run it
โข Infrastructure can't scale
The next AI race won't be won by the best model.
It'll be won by whoever builds the best compute stack.
Models get the headlines.
Chips run the world.
Which processor category do you think will see the biggest growth over the next 5 years? ๐