Every AI Company Runs on NVIDIA Because of One Decision Made in 2006!

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Издатель Jul 2, 2026

Your computer's processor does one thing at a time. NVIDIA's chips do thousands of tasks simultaneously.

That gap matters enormously for AI. Training neural networks means repeating the same math operation billions of times. A normal processor would take forever.

So NVIDIA built CUDA in 2006. A set of instructions that taught programmers how to use their chips for this exact type of work.

Twenty years later, every major AI framework, including PyTorch and TensorFlow, is built entirely around CUDA. Competitors cannot just match the hardware.

They would have to rebuild the entire language everyone already speaks.

NVIDIA did not just build faster chips. They invented the language AI runs on.

#NVIDIA #CUDA #AIChips