Technoglitch
Core Member
Until now, most self-driving cars have required an array of expensive, custom, processing hardware. Nvidia is aiming to change all that with the introduction of its Drive PX 2 liquid-cooled, deep-learning, monstrously powerful computer that can easily fit in the trunk of your next car. Nvidia is using CES 2016 to deliver on the vision it teased last year: that cars would be more about software, that self-driving will require deep learning, and that all the systems required will need to run in real time. Its new Drive PX 2 is designed to deliver the goods — it features the power of six Titan X boards when used for the type of sophisticated processing needed for deep learning and autonomous vehicle operation. Along with the Drive PX 2, Nvidia’s co-founder and CEO Jen-Hsun Huang rolled out an extensive platform for autonomous vehicle system development using Nvidia’s tools.
Nvidia calls its system for automotive deep learning DIGITS. It’s designed to pipe its results to the runtime DriveWorks platform powered by its Drive PX 2. There is one sleight-of-hand here, though. Developers still needs to decide which inputs to measure, and how to calibrate and quantify them before feeding them into the software. It’s not like a HAL 9000 that can be unleashed on the world without guidance and suddenly learn how to drive or sing.
Drive PX 2 Unveiled
Specifications for the Nvidia Drive PX 2 are mind-blowing. It incorporates roughly the horsepower of 150 MacBook Pros when it comes to compute-intensive problems. With 8 Teraflops of floating point power, and 24 TOPS (a measure of deep learning power that compares to a half-dozen Titans), the Drive PX 2 can manage a benchmark of identifying 2,400 images per second running the award-winning Alexnet software (compared to 450 per second with a Titan X). Huang describes the result as $300,000 worth of computers in a lunchbox. The Drive PX 2 is liquid-cooled to allow it to run in the harsh environments to which vehicles are often exposed. For cars that don’t have liquid cooling an optional Heat Transfer Unit (basically a fan) is available as an option
Nvidia wants its new Drive PX 2 supercomputer to drive your next car | ExtremeTech
Nvidia calls its system for automotive deep learning DIGITS. It’s designed to pipe its results to the runtime DriveWorks platform powered by its Drive PX 2. There is one sleight-of-hand here, though. Developers still needs to decide which inputs to measure, and how to calibrate and quantify them before feeding them into the software. It’s not like a HAL 9000 that can be unleashed on the world without guidance and suddenly learn how to drive or sing.
Drive PX 2 Unveiled
Specifications for the Nvidia Drive PX 2 are mind-blowing. It incorporates roughly the horsepower of 150 MacBook Pros when it comes to compute-intensive problems. With 8 Teraflops of floating point power, and 24 TOPS (a measure of deep learning power that compares to a half-dozen Titans), the Drive PX 2 can manage a benchmark of identifying 2,400 images per second running the award-winning Alexnet software (compared to 450 per second with a Titan X). Huang describes the result as $300,000 worth of computers in a lunchbox. The Drive PX 2 is liquid-cooled to allow it to run in the harsh environments to which vehicles are often exposed. For cars that don’t have liquid cooling an optional Heat Transfer Unit (basically a fan) is available as an option
Nvidia wants its new Drive PX 2 supercomputer to drive your next car | ExtremeTech
