Enter the ‘AI Factory.’
Nvidia is betting big on the future, and that future is data centers built for AI, or “AI factories,” as Nvidia now calls them. Even a cursory glance at Nvidia’s latest finances makes a clear case for why: Its data center business made up almost 90% of its revenue in Q4 2024. Gaming, at less than 9%, is barely a footnote.
But Nvidia isn’t just looking to sell components to existing data center owners, it’s looking to help them build new ones, and claims there are already 100 of its newly envisioned AI factories currently under development around the world. These data centers, we’re told, will have the ability to run the latest AIs across a range of models and be equipped to scale up to future challenges.
This is the future Nvidia is pitching, and it wants that future to have an Nvidia logo, describing it as something that every enterprise will need to survive.
Redefining the datacenter
The data center industry is well-established, with major corporations like Amazon, Microsoft, and Google operating a range of highly capable, extremely expensive, and power-hungry farms of servers. While these facilities are designed to handle a range of tasks, though, Nvidia’s AI factories are said to be more focused.
Although Nvidia metaphorically describes its AI factories as “manufacturing intelligence,” what it’s really suggesting is that these massive data centers of the future will train and run AI exclusively. Although those two tasks often have different requirements of the hardware that powers them, the core component needed in both cases is masses of raw compute power. That means CPUs and GPUs, and Nvidia is at the forefront of both of those when it comes to powering AI.
Nvidia’s hardware brings power, but it also brings versatility, we’re told. Nvidia pitches these AI factories as capable not only of running one AI model, but multiple models, and even many at once. This would allow these factories to utilize the most capable AI model at any given time, or to train new models tailored to their own specific needs.
As Ian Buck, vice president and general manager of NVIDIA’s Accelerated Computing business, said in a recent conference call, “That’s why NVIDIA has got to work with every single AI company to make sure that our platform is constantly innovating.”
https://www.tomshardware.com/pc-components/gpus/nvidia-is-building-100-ai-factories-jensens-50-year-gambit-begins
