Autonomous vehicles: they’re not perfect, and sometimes they kill people. However, they also hold the promise of safer transportation—and far fewer jobs—within the relatively close to future. To help these automobiles improve their intelligence from causing fatal accidents to preventing them, Nvidia created the DGX SuperPod, an AI-optimized supercomputer that can assist design a more magnificent self-driving car.
Nvidia made it very clear it needs to be amongst the leaders in artificial intelligence and decided to construct a supercomputer to demonstrate that. It only took the corporate three weeks to create by connecting 96 Nvidia DGX-2H supercomputers with Mellanox interconnect technology. You can buy it, too, if the novelty of your sixth yacht has worn off and you have $435,000 burning a gap in your pocket. That’s how much oneDGX-2H costs at list value. The DGX SuperPod makes use 96 of them. If you wish to make a self-driving car, it appears Nvidia thinks it’ll price someplace within the ballpark of $41,760,000 to get began with the very best hardware. These systems have been designed for large corporations.
It seems like Nvidia has some new advancement in artificial intelligence on nearly a weekly basis—even when it’s only a new efficient technique of turning your dog into a lion. Maybe that’s as a result of the company can build one of the most effectively powerful supercomputers on this planet in three weeks. While you don’t have to attend very long to course of an enormous quantity of data, you can quickly test new ideas and discover the optimal solution quite a bit quicker. You want around $40 million to get began.