SINGAPORE (6 January 2014) — NVIDIA’s new Tegra® K1 mobile processor will help self-driving cars advance from the realm of research into the mass market with its automotive-grade version of the same GPU that powers the world’s 10 most energy-efficient supercomputers.
The first mobile processor to bring advanced computational capabilities to the car, the NVIDIA® Tegra K1 runs a variety of auto applications that had previously not been possible with such low power consumption. Tegra K1 features a quad-core CPU and a 192-core GPU using the NVIDIA Kepler™ architecture, the basis for NVIDIA’s range of powerful GPUs – including the processors that are used in the top 10 systems featured in the latest Green500 list of the world’s most energy-efficient supercomputers.
Tegra K1 will drive camera-based, advanced driver assistance systems (ADAS) – such as pedestrian detection, blind-spot monitoring, lane-departure warning and street sign recognition – and can also monitor driver alertness via a dashboard-mounted camera.
“To process the steady deluge of sensor and camera data required by a self-driving car, NVIDIA is bringing highly energy-efficient supercomputer technology inside the vehicle,” said Taner Ozcelik, vice president and general manager of the Automotive business at NVIDIA. “Tegra K1 solves this by providing 10 times the computing power of previous mobile processors without consuming additional energy.”
