Many on this board (gauchoChris the most) have asked the question does Nvidia use its deep learning and AI technology to help run its business and research to sustain its competitive advantage.
The answer is yes they do. Huangenstein’s Monster is the SATURN V Super Computer that Nvidia made at their headquarters. It consists of 125 DGX-1 Pascal Supercomputers. At 2016 Supercomputing top 500 it was something like 28th for speed and first place in efficiency(performance/watt). While they do rent it out to exclusive researchers, Nvidia is the primary user of this massive super computer.
And they are or have updated it to Volta
Some of the highlights from this revelation.
“We’re convinced AI can give every company a competitive advantage.”
“SATURNV helps us build the autonomous driving software that’s a key part of our NVIDIA DRIVE PX 2 self-driving vehicle platform.”
“We’re also training neural networks to understand chipset design and very-large-scale-integration, so our engineers can work more quickly and efficiently.”
“Yes, we’re using GPUs to help us design GPUs.”
“Most importantly, SATURNV’s power will give us the ability to train — and design — new deep learning networks quickly.”
They use it to analyze gamer data to build GeForce cards they want.
They use it to recruit new hires.
There are probably hundreds of business applications they are running on this beast.
So this is how NVDA went from Pascal to Volta in a year. This is how CUDA and NVDA software stack helps to accelerate so much that an update can accelerate an existing GPU architecture. This is how the DGX-2 released this year is 10x faster than the DGX-1 from last year(not just from double the GPUs but also the NVSwitch and Software Stack upgrades). SATURN helps write the software.
SATURN helped make VOLTA which is now replacing itself with what it created. Wierd stuff. I can make me better here’s how humans.