NVIDIA's platform for autonomous vehicles. In 2015, the first system debuted for semi-autonomous driving and was used in Tesla's Autopilot option. NVIDIA DRIVE can process up to 16 sensors simultaneously.

Software (AP2X)
NVIDIA DRIVE AP2X is the software platform for Level 2+ autonomous driving (NVIDIA defines 2+ as advanced Level 2). See autonomous vehicle levels.

Systems-On-Chip Hardware (Xavier and Orin)
Modules incorporating NVIDIA's Xavier and Orin systems-on-chip (SoCs) are combined with GPUs to provide the hardware for autonomous vehicles.

Driver Interface (IX)
NVIDIA Drive IX provides the vehicle manufacturer with the systems necessary to interface drivers to the self-driving functions. It includes driver monitoring, voice recognition and dashboard displays.

Datacenter Deep Learning (DGX)
Built on NVIDIA's Volta GPU platform and optimized software, NVIDIA DRIVE DGX optimizes deep learning computations in the cloud.

Debuting in 2017, the NVIDIA DRIVE Pegasus module offers full self-driving capability, providing a total of 300 trillion operations per second (300 TOPS). This circuit board lets automobile manufacturers test their systems. The final vehicle hardware is typically custom-designed using these NVIDIA chips. (Image courtesy of NVIDIA Corporation.)
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References in periodicals archive ?
Management likes to say that everything that moves could one day be autonomous. One opportunity is the push by e-commerce companies to deliver packages in less than one day. To meet the need for speed, FedEx has been testing robots to improve efficiency in last-mile delivery. It's unknown whether FedEx's delivery bots are powered by NVIDIA technology, but it's clear there is going to be growing demand from different sectors of the economy for the NVIDIA Drive car-computing platform.
At its headquarters in Gothenburg, Sweden, Volvo announced Tuesday that it's using the NVIDIA DRIVE end-to-end autonomous driving platform to train, test and deploy self-driving AI vehicles, targeting public transport, freight transport, refuse and recycling collection, construction, mining, forestry and more.
The T-Pod is level 4 autonomous, the second highest category, and uses a Nvidia Drive platform to process visual data in real time.
TUV SUD Mobility has announced collaboration with NVIDIA and AVL to standardise validation of autonomous vehicles with NVIDIA DRIVE constellation.
Called NVIDIA DRIVE AutoPilot, the Level 2+ system pulls together AI technologies to boost the features everyone expects in automated driving, namely smart cockpit assistance and visualization, but in a way the companies say will surpass contemporary ADAS offerings.
NVIDIA announced the world's first commercially available Level 2+ automated driving system, Nvidia Drive AutoPilot, which integrates multiple breakthrough AI technologies that will enable supervised self-driving vehicles to go into production by next year.
The AR engine of the Nvidia Drive IX platform will help more proficient infotainment systems, and may even enable advanced interaction methods like gesture, eye tracking and others.
So far, 320 companies involved in self-driving cars -- whether software developers, automakers and their suppliers, sensor and mapping companies -- are using Nvidia Drive, formerly branded as the Drive PX2.