The Ledger
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Huang: NVIDIA has 250M to 300M active compatible CUDA GPUs globally
“There are literally a couple of hundred million, right? 250,000,300 million installed base of active CUDA GPUs being used in the world today, and they're all architecturally compatible.”
Huang: GeForce NOW was NVIDIA's first data center product, preceding CUDA supercomputing
“GeForce Now was NVIDIA's first data center product. And our second data center product was remote graphics, putting our GPUs in, in the world's enterprise data centers, which then led us to our third product, which combined CUDA plus our GPU, which became a su…”
NVIDIA's programmable shaders were the first massively parallel processors
“And if you just looked at the pipeline of a programmable shader, it is a processor and is highly parallel, and it is massively threaded, and it is the only processor in the world that does that.”
Nvidia has an installed base of 500 million CUDA-capable GPUs globally
“Today there are five hundred million CUDA capable GPUs for developers to target.”
Rosenthal: CUDA software cannot be deployed on non-NVIDIA chips
“You do any of this work, you cannot deploy it on anything but NVIDIA chips.”
AlexNet Was Trained on Two Off-the-Shelf Nvidia GTX 580 GPUs
“They buy two NVIDIA GeForce GTX five eighties, which were NVIDIA's top of the line gaming cards at the time. The Toronto team rewrites their neural network algorithms in CUDA, NVIDIA's programming language. They train it on these two off the shelf GTX five eig…”
Huang: CUDA is used across almost all fields of scientific research
“CUDA is used for almost all fields of science. Everything from molecular dynamics to imaging, CT reconstruction to seismic processing to, you know, weather simulations, quantum chemistry, the list goes on, right?”
AlexNet was trained on two consumer Nvidia GeForce GTX 580 GPUs
“And what these guys from Toronto did is they went out probably to their local Best Buy or equivalent in Canada. They bought two GeForce GTX-Five-Eighty's, which were the top-of-the-line cards at the time, and they wrote their algorithm, their convolutional neu…”
Nvidia's CUDA platform reached four million registered developers by May 2023
“If you look at the number of CUDA developers over time, it was released in 2006, It took four years to get the first 100,000 people. Then by twenty-sixteen, 13 years in, they got to a million developers. Then just two years later, they got to two million. So 1…”