Xavier

One of the lesser known topics around fully autonomous vehicles is one of transporting data around. There are usually two options: transport raw image and sensor data with super low latency but with high bandwidth requirements, or use encoding tools and DSPs to send fewer bits but at a higher latency. As we move into development of the first Level 4 (near autonomous) and Level 5 (fully autonomous) vehicle systems, for safety and response time reasons, low latency has won. This means shifting data around, and a lot of it. Bandwidth required, in Gbps for raw video at a given resolution and frame rate, also at a specific color depth. E.g. 720p30 at 24-bit RGB (8-bit per color) is 0.66 Gbps Raw camera data is...

NVIDIA Announces Drive PX Pegasus at GTC Europe 2017: Level 5 Self-Driving Hardware, Feat. Post-Volta GPUs

At GTC Europe 2017 in Germany, NVIDIA today has announced the Drive PX Pegasus, a new entry to the Drive PX family of computing modules for self-driving cars. Building...

29 by Nate Oh on 10/10/2017

NVIDIA Gives Xavier Status Update & Announces TensorRT 3 at GTC China 2017 Keynote

Earlier today at a keynote presentation for their GPU Technology Conference (GTC) China 2017, NVIDIA’s CEO Jen-Hsun Huang disclosed a few updated details of the upcoming Xavier ARM SoC...

11 by Nate Oh on 9/26/2017

Bosch and NVIDIA Team Up for Xavier-Based Self-Driving Systems for Mass Market Cars

Bosch and NVIDIA on Thursday announced plans to co-develop self-driving systems for mass-market vehicles. The solutions will use NVIDIA’s next-generation codenamed Xavier SoC as well as the company’s AI-related...

43 by Anton Shilov on 3/18/2017

NVIDIA Teases Xavier, a High-Performance ARM SoC for Drive PX & AI

Ever since NVIDIA bowed out of the highly competitive (and high pressure) market for mobile ARM SoCs, there has been quite a bit of speculation over what would happen...

36 by Ryan Smith on 9/28/2016

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