Accelerating the race to autonomous cars, NVIDIA at CES launched NVIDIA DRIVE PX 2 – a powerful engine for in-vehicle artificial intelligence. NVIDIA DRIVE PX 2 allows the automotive industry to use artificial intelligence to tackle the complexities inherent in autonomous driving. It 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.

Created to address the needs of NVIDIA's automotive partners for an open development platform, DRIVE PX 2 provides high processing power for deep learning, equivalent to that of 150 MacBook Pros.

Its two next-generation Tegra processors plus two next-generation discrete GPUs, based on the Pascal architecture, deliver up to 24 trillion deep learning operations per second, which are specialized instructions that accelerate the math used in deep learning network inference.

DRIVE PX 2's deep learning capabilities enable it to learn how to address the challenges of everyday driving, such as unexpected road debris, erratic drivers and construction zones. Deep learning also addresses numerous problem areas where traditional computer vision techniques are insufficient -- such as poor weather conditions like rain, snow and fog, and difficult lighting conditions like sunrise, sunset and extreme darkness.

For general purpose floating point operations, DRIVE PX 2's multi-precision GPU architecture is capable of up to 8 trillion operations per second.

Self-driving cars use a broad spectrum of sensors to understand their surroundings. DRIVE PX 2 can process the inputs of 12 video cameras, plus lidar, radar and ultrasonic sensors. It fuses them to accurately detect objects, identify them, determine where the car is relative to the world around it, and then calculate its optimal path for safe travel.

This complex work is facilitated by NVIDIA DriveWorks, a suite of software tools, libraries and modules that accelerates development and testing of autonomous vehicles. DriveWorks enables sensor calibration, acquisition of surround data, synchronization, recording and then processing streams of sensor data through a complex pipeline of algorithms running on all of the DRIVE PX 2's specialized and general-purpose processors. Software modules are included for every aspect of the autonomous driving pipeline, from object detection, classification and segmentation to map localization and path planning.

NVIDIA delivers an end-to-end solution -- consisting of NVIDIA DIGITS and DRIVE PX 2 -- for both training a deep neural network, as well as deploying the output of that network in a car.

DIGITS is a tool for developing, training and visualizing deep neural networks that can run on any NVIDIA GPU-based system -- from PCs and supercomputers to Amazon Web Services and the recently announced Facebook Big Sur Open Rack-compatible hardware. The trained neural net model runs on NVIDIA DRIVE PX 2 within the car.

Since NVIDIA delivered the first-generation DRIVE PX last summer, more than 50 automakers, tier 1 suppliers, developers and research institutions have adopted NVIDIA's AI platform for autonomous driving development. They are praising its performance, capabilities and ease of development.

Huang announced that Volvo – known worldwide for safety and reliability – will be the first automaker to deploy DRIVE PX 2.

In the world’s first public trial of autonomous driving, the Swedish automaker next year will lease 100 XC90 luxury SUVs outfitted with DRIVE PX 2 technology.

The DRIVE PX 2 development engine will be generally available in the fourth quarter of 2016.