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Nvidia will provide Artificial Engineer platform to EV startups in China

by Kashish Verma
7 years ago
in Technology, News
Reading Time: 2 mins read
0
Source: nvidia

Source: nvidia

Nvidia Corp, U.S. chipmaker has repeatedly signed distinctive deals with electric vehicle startups in China such as Singulato Motors, XPeng Motors with a motive of developing autonomous driving technology according to Jensen Huang, Chief Executive Officer.

Source: nvidia

On Wednesday Huang spoke at an event that took place in Suzhou, the eastern Chinese city. Huang said Singulate and XPeng would utilize Xavier, the Artificial Intelligence driving chip along with the computing platform for developing hardware to improve autonomous driving along with an area in strategic technology where the leaders of China are all set to compete in a global market.

 

The Chinese companies have said that they are going to work separate on different projects such as data collection and go as far as machine learning.

Source: nvidia

XPeng has revealed in a statement that it has made plans for implementing level 3 smart driving features in their vehicles that will begin in 2020. XPeng is going to use a fully customized software along with hardware that will be exclusively developed by Nvidia as well as Huizhou Desay SV Automotive Co Ltd.

 

In Level 3 autonomous driving technology, the drivers will be able to turn their away their attention from the tasks related to driving, but they will still be able to respond immediately in a few tricky scenarios.

Source: nvidia

Singulato, on the other hand, said that it would utilize the Xavier platform from Nvidia with a goal of developing the self-driving level 3 systems and they will eventually step up in the game and reach up to level 3 where vehicles can be driven entirely in an autonomous way but not in all conditions.

 

Nvidia released the artificial intelligence computing Xavier system-on-chip at the beginning of this 2018. Automakers that use the chip will be able to add a very specific software for adapting their vehicles to the local traffic as well as the numerous infrastructure situations, according to Nvidia.

 

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