Prudence Pitch

10:31 12/01/2020 |

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Nvidia is making its pretrained libraries of deep neural network data for self-driving cars available to its partners

(Tech) Nvidia’s Drive AV is an end-to-end, software-defined platform for autonomous vehicles. It includes a development flow, datacenter infrastructure, an in-vehicle computer, and pretrained AI models that can be adapted by carmakers.



Samples of Orin will be provided in 2020 for testing, but the chip isn’t expected to ship in vehicles until 2022. It will be capable of 200 trillion operations per second and is designed to handle the large number of applications and deep neural networks (DNNs) that run simultaneously in autonomous vehicles, while meeting systematic safety standards, such as ISO 26262 ASIL-D.

Nvidia is now providing access to its pretrained DNNs and training processes on the NGC container registry. The company has named its pretrained libraries by function, such as active learning, transfer learning, and federated learning.

This kind of technology-sharing could work well with data privacy policies in places like China or other regions where data isn’t supposed to cross country lines. The carmakers could adopt the pretrained models and use them in their own local areas to get improved results for autonomous vehicles. They could then share that retrained model with Nvidia to use across the globe, without sharing the local data.

Nvidia’s AI ecosystem includes members of Inception, a startup program focused on AI companies. More than 100 Inception members will be on the CES 2020 show floor. And Nvidia Drive customer Mercedes-Benz will hold a keynote Monday night on the future of intelligent transportation.

Built as a software-defined platform, DRIVE AGX Orin is developed to enable architecturally compatible platforms that scale from a level 2 to a fully self-driving level 5 vehicle, enabling car makers to develop large-scale and complex families of software products.


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