Nvidia announced a new system-on-a-chip today that’s designed to bring a massive amount of computing power to bear for self-driving car applications. Called the Drive Xavier, each SoC packs a whopping 9 billion transistors with an 8-core CPU, a 256-core GPU based on Nvidia’s Volta architecture, and new components tailored to accelerate deep learning, computer vision, and 8K video processing.

All of that adds up to a processor that’s supposed to be one of the best options for businesses trying to build self-driving cars. Computing power is a key issue for vehicles that are supposed to drive themselves around, since the cars need to run a variety of machine learning models in order to roam the roads.

The autonomous vehicle market has been a massive area of investment for Nvidia. GPUs are well-suited to performing the sorts of computations that are necessary to train machine learning algorithms, so the chipmaker has been at the forefront of the hardware race to build better and faster AI. This is the company’s latest move in a market that it entered at the Consumer Electronics Show in 2015.

Xavier has been a massive undertaking for Nvidia, which had 2,000 engineers working on a project that cost the company $2 billion in research and development. All of that work is supposed to provide massive efficiency and power gains. Nvidia said that Xavier will deliver 30 trillion operations per second consuming 30 watts of power, which is 15 times more efficient than the company’s previous architecture.

Nvidia CEO Jensen Huang told an audience at his company’s keynote address that building a chip for…