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Processing large-scale sensor data with NVIDIA AI technology
The vehicle anticipates and responds to dynamically changing driving situations
Nvidia partners with Toyota to expand the autonomous vehicle market.
NVIDIA announced a collaboration with automaker Toyota in the autonomous vehicle sector at the NVIDIA GPU Technology Conference being held at the McEnery Convention Center in San Jose, California. The companies' strategy is to enhance the capabilities of autonomous driving systems, which are planned for market introduction within the next few years, using artificial intelligence hardware and software technologies.

Toyota plans to use the NVIDIA DRIVE PX artificial intelligence vehicle computer platform as a core technology for the advanced autonomous driving system it plans to introduce to the market. Engineering teams from both companies are already developing sophisticated software based on NVIDIA's high-performance AI platform, and through this, they plan to enhance Toyota vehicles to further improve their ability to analyze massive amounts of data generated by in-vehicle sensors and handle a wide range of autonomous driving situations.
NVIDIA founder and CEO Jensen Huang stated, “NVIDIA has developed NVIDIA Drive PX, which will serve as the brain of autonomous vehicles, by combining groundbreaking technologies in artificial intelligence and high-performance computing (HPC),” adding, “The announcement of the collaboration with Toyota proves that the future of autonomous driving will soon become a reality.”
Artificial intelligence, particularly deep learning, is becoming an important tool in the development of autonomous vehicles. This is because the number of possible scenarios on the road is nearly infinite, and deep learning possesses the ability to recognize and process them.
Autonomous vehicles must be equipped with a supercomputer to process and interpret data from all sensors mounted on the vehicle. While many prototype vehicles fill their trunks with computers to handle these complex tasks, the NVIDIA Drive PX platform, equipped with the next-generation Xavier processor, is palm-sized and capable of 30 trillion deep learning operations per second. The Drive PX platform combines data generated from cameras, lidar, radar, and various other sensors.
The vehicle anticipates and responds to dynamically changing driving situations
Nvidia partners with Toyota to expand the autonomous vehicle market.
NVIDIA announced a collaboration with automaker Toyota in the autonomous vehicle sector at the NVIDIA GPU Technology Conference being held at the McEnery Convention Center in San Jose, California. The companies' strategy is to enhance the capabilities of autonomous driving systems, which are planned for market introduction within the next few years, using artificial intelligence hardware and software technologies.
Toyota plans to use the NVIDIA DRIVE PX artificial intelligence vehicle computer platform as a core technology for the advanced autonomous driving system it plans to introduce to the market. Engineering teams from both companies are already developing sophisticated software based on NVIDIA's high-performance AI platform, and through this, they plan to enhance Toyota vehicles to further improve their ability to analyze massive amounts of data generated by in-vehicle sensors and handle a wide range of autonomous driving situations.
NVIDIA founder and CEO Jensen Huang stated, “NVIDIA has developed NVIDIA Drive PX, which will serve as the brain of autonomous vehicles, by combining groundbreaking technologies in artificial intelligence and high-performance computing (HPC),” adding, “The announcement of the collaboration with Toyota proves that the future of autonomous driving will soon become a reality.”
Artificial intelligence, particularly deep learning, is becoming an important tool in the development of autonomous vehicles. This is because the number of possible scenarios on the road is nearly infinite, and deep learning possesses the ability to recognize and process them.
Autonomous vehicles must be equipped with a supercomputer to process and interpret data from all sensors mounted on the vehicle. While many prototype vehicles fill their trunks with computers to handle these complex tasks, the NVIDIA Drive PX platform, equipped with the next-generation Xavier processor, is palm-sized and capable of 30 trillion deep learning operations per second. The Drive PX platform combines data generated from cameras, lidar, radar, and various other sensors.
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