NVIDIA unveils its powerful Xavier SOC for self-driving cars
NVIDIA to unveil the Xavier SOC for autonomous cars
A new NVIDIA computer processing system can process 30 trillion operations per second.
At the moment, there is a huge need for more powerful processors in the emerging self-driving and semi-autonomous car grows.
NVIDIA is making sure it stays ahead of the current trend in A.I. autonomous computer processing.
At CES, the GPU-building powerhouse unveiled the Xavier SOC for AI car systems the company announced at last year's CES.
The Xavier A.I. system has over 9 billion transistors with a custom 8-core CPU, a 512-core Volta GPU, an 8K HDR video processor, a deep-learning accelerator and new computer-vision accelerators.
The 30 trillion operations per second will use only 30 watts of power and the computer tech company says that this is 15 times more efficient than previous.
Important for EVs where everything that pulls from the battery reduces vehicle range.
All those huge numbers mean that the Xavier can crunch more sensor and vehicle data for the AI systems that will power self-driving vehicles.
That should make OEMs and ride-hailing companies working on autonomous cars very happy. Artificial intelligence is already processor intensive. Add the non-stop stream of data coming from sensors and cars are topping out the capabilities of current computers.
Two Xavier processors will sit on the recently announced Pegasus AI computing platform (which is capable of level 5 autonomy according to NVIDIA) along with two NVIDIA GPUs.
Justin Kavanagh is a recognised leader in automotive intelligence and vehicle data supply to the entire motor industry. He has almost 20 years experience in building systems from the ground up. As the Managing Director of Vehicle Management System, he understands the need and importance of trustworthy and reliable vehicle history and advice to both the trade and the public.
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