I met some people who needed my help with something called deep learning.
At that time, I didn't even know what deep learning was.
They asked us to create a domain-specific language so that all their algorithms could be easily expressed on our processors.
We created something called CUDA, which is essentially what SQL is for storage computing, but for neural network computing.
They didn't understand CUDA, but they understood deep learning, so we built something in the middle for them.
The main reason we did this was because these researchers had no money.
One of the great skills of our company is being willing to do things even when the financial returns are completely non-existent.
We always ask ourselves: Is this worthy work?
Our inspiration doesn't come from the size of a market, but from the importance of the work itself.