Modern AI is powered by an entire ecosystem of processors:
CPU → Coordinates everything
GPU → Trains massive models
TPU → Accelerates tensor operations
NPU → Brings AI to phones & laptops
LPU → Delivers ultra-fast LLM responses
DPU → Handles networking, security & data movement
Depending on ALL of them working together.
A trillion-parameter model is useless if:
• Data can't reach it fast enough
• Inference is too expensive
• Edge devices can't run it
• Infrastructure can't scale
The best AI does not mean ONLY best model, but also best compute stack.
Models get the headlines. Chips run the world.
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