There are big implications of this news, beyond just bragging rights.
Facebook, I mean Meta, has always been one of the industry leaders when it comes to AI research and deployment. The company processes hundreds of trillions of inferences every day, and trains some 30,000 models daily on its current NVIDIA V100 based AI fleet. That takes a ginormous amount of processing and the load is growing rapidly, perhaps doubling every year based on previous disclosures of data center power consumption.
The NVIDIA DGX server allows customers like Facebook to stand up a large fleet quickly, avoiding months or years of the normal planning needed to design and install a custom supercomputer. DGX is plug-and-play, from a single server to a massive supercomputer. And over 600 software stacks are available on theIn the past, large hyper-scalers designed and built all their own custom servers, with help from Taiwanese ODMs, in order to minimize cost.
. We would note that NVIDIA has managed to walk s fine line here with its partners, providing comparable, though less robust, HGX designs for OEMs to leverage NVIDIA design expertise in their own private labeled servers.
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