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Because NVidia made a whole bunch of GPUs that are specifically for parallel processing massive amounts of information and floating point math, which is what is needed for machine learning, model training, LLMs, and everything else we call "a.i."
They took on a huge amount of investment in 2024, raising $25B in debt to fund more production. In the last 3 years they have sold a ton of hardware. That hardware was bought by people with a ton of cash or a ton of credit.
How much did they sell? In the last 3 years, something like the equivalent of 12GW of GPUs have been sold by NVidia alone. In the US, we have about 30GW of data centers, almost all of them were already full. So in 3 years NVidia sold about a third of the total capacity of the country.
Those cards have nowhere to go to be powered on. They are sitting in warehouses right now. People have spent hundreds of millions on GPUs from NVidia and they are sitting in boxes doing nothing. Because there's not 12GW of available data center space for them to go.
It took the US something like 30 years to get to 30GW of data center capacity. Even we assume doubling every 10 years, it's going to take another 7 years to get the next 30GW.
And that means building a shit ton of data centers.