At the inaugural GPU Technology Conference Europe, NVIDIA CEO Jen-Hsun Huang today unveiled Xavier, our all-new AI supercomputer, designed for use in self-driving cars.
“This is the greatest SoC endeavor I have ever known, and we have been building chips for a very long time,” Huang said to the conference’s 1,600 attendees.
Xavier is a complete system-on-chip (SoC), integrating a new GPU architecture called Volta, a custom 8 core CPU architecture, and a new computer vision accelerator. The processor will deliver 20 TOPS (trillion operations per second) of performance, while consuming only 20 watts of power. As the brain of a self-driving car, Xavier is designed to be compliant with critical automotive standards, such as the ISO 26262 functional safety specification.
Packed with 7 billion transistors, and manufactured using cutting-edge 16nm FinFET process technology, a single Xavier AI processor will be able to replace today’s DRIVE PX 2 configured with dual mobile SoCs and dual discrete GPUs — at a fraction of the power consumption.
Because autonomous driving is an incredibly compute-intense process, the need for an efficient AI processor is paramount. Xavier will bring self-driving car technology to automakers, tier 1 suppliers, startups and R&D organizations that are building autonomous vehicles, whether cars, trucks, shuttles or taxis.
Xavier samples will be available the fourth quarter of 2017 to automakers, tier 1 suppliers, startups and research institutions who are developing self-driving cars.
The post Introducing Xavier, the NVIDIA AI Supercomputer for the Future of Autonomous Transportation appeared first on The Official NVIDIA Blog.
by Danny Shapiro via The Official NVIDIA Blog
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