NVIDIA unveils its powerful Xavier SOC for self-driving cars

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NVIDIA unveils its powerful Xavier SOC for self-driving cars

NVIDIA unveils its powerful Xavier SOC for self-driving 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.

NVIDIA unveils its powerful Xavier SOC for self-driving cars

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.






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