Do you like teraflops?
By Dieter Bohn
Nvidia is kicking off CES 2016 with its traditional first keynote. CEO Jen-Hsun Huang wasted no time getting to the "punchline," a new computer for cars he's calling the Drive PX2, the follow-up to last year's Drive CX. Nvidia is famous for throwing out big numbers to tout the power of their processors, and many of them were mentioned here on stage. Its processing power is supposedly equivalent to 150 MacBook Pros, all sitting in a computer that's about the size of a lunchbox. It has 12 CPU cores that support a combined eight teraflops and 24 deep learning tera operations per second. It's also water-cooled, which makes sense given how hard these chips need to work.
Make sense? Probably not, but that's okay. The point is that Nvidia believes that a properly-designed self driving car needs to have a ton of processing power so that it can handle all the sensors, controls, and learning it needs to be fully autonomous (instead of, say, being dependent on connectivity to the cloud). Jen-Hsun Huang believes that "self-driving cars are hard" and Nvidia know how to do it. According to Nvidia, the PX2 can "process the inputs of 12 video cameras, plus lidar, radar and ultrasonic sensors."
Volvo is Nvidia's first partner to use the Drive PX2, it will deploy it in some test self-driving vehicles.
We're still liveblogging Nvidia's event, where we expect Jen-Hsun Huang to take his time to explain why the PX2 is better at perception (the core problem for self-driving cars, apparently) than anything else. He likes to laboriously explain everything: his keynote involves leading us through the history of AI development and Nvidia's part in it.