DRIVE PX 2—introduced at CES 2016—is a high-performance computing platform for in-vehicle artificial intelligence applied to the complexities inherent in autonomous driving. DRIVE PX 2 utilizes deep learning on NVIDIA’s most advanced GPUs for 360-degree situational awareness around the car, to determine precisely where the car is and to compute a safe, comfortable trajectory.

DRIVE PX 2—which delivers processing power equivalent to 150 MacBook Pros—uses two next-generation Tegra processors plus two next-generation discrete GPUs, based on the Pascal architecture, to deliver up to 24 trillion deep learning operations per second, which are specialized instructions that accelerate the math used in deep learning network inference. That’s more than 10 times the computational horsepower than the previous-generation DRIVE PX.

NVIDIA co-founder and CEO Jen-Hsun Huang announced the collaboration at the company’s inaugural GTC Europe, a regional version of its annual GPU Technology Conference in Silicon Valley, now in its seventh year.

Self-driving cars require a highly accurate HD mapping system that can generate an always up-to-date HD map in the cloud. DRIVE PX 2 for AutoCruise provides TomTom with a real-time, in-vehicle source for HD map updates.

—Rob Csongor, vice president and general manager of Automotive at NVIDIA

The NVIDIA DriveWorks software development kit now integrates support for TomTom’s HD mapping environment. The open solution is available for all automakers and tier 1 suppliers developing autonomous vehicles.

This collaboration is an important step for TomTom. Combining our highly accurate HD maps with NVIDIA’s self-driving car platform will enable us to propose new features to automakers faster, and therefore to make autonomous driving a commercial reality sooner.

—Willem Strijbosch, head of Autonomous Driving at TomTom