Jensen Huang

Everything else is secondary.

There were other architectures at the time.

CUDA came out, OpenCL was here.

There were several other competing architectures.

But the decision that we made that was good was we said, hey, look, ultimately, it's about InstallBase, and what is the best way we could get a new computing architecture into the world?

By that timeframe, GeForce had become successful.

We were already selling millions and millions of GeForce GPUs a year.

And we said, you know, we ought to put CUDA on GeForce and put it into every single PC, whether customers use it or not.

and use it as a starting point of cultivating our install base.

Meanwhile, we'll go and attract developers and went to universities and wrote books and taught classes and put CUDA everywhere.

And eventually, people would discover, and at the time, the PC was the primary computing vehicle.

There was no cloud, and we could put a supercomputer in the hands of every researcher in school, every scientist, every engineer in school, every student in school, and eventually, something amazing will happen.

Well, the problem was CUDA increased our cost

of that gpu which is a consumer product so tremendously it it completely consumed all of the company's gross profit dollars and so at the time the company was probably you know worth i don't know at the time eight was it like eight billion dollars or something six seven billion dollars or something like that after we launched cuda

I recognized that it was going to add so much cost, but it was something we believed in.

You know, our market cap went down to like $1.5 billion.

And so we were down there for a while, and we clawed our way back slowly.

But we carried CUDA on GeForce.

I always say that NVIDIA is the house that GeForce built.

Because it was GeForce that took CUDA out to everybody.