Summary
| Jensen Huang, CEO of NVIDIA announces that computing performance has increased by 1,000 times over the past ten years (photographed at GTC Japan 2018) |
The GPU Technology Conference (GTC) Japan 2018, hosted by NVIDIA, was held in September 2018 in Tokyo. This report primarily focuses on the keynote speech given by the CEO of NVIDIA, Jensen Huang, and the lecture given by Toru Baji, NVIDIA’s Technology Adviser, GPU Evangelist, entitled “FROM THE CAR TO THE CLOUD as well as an overview of “NVIDIA DRIVE AGX” AI platform for autonomous driving and the adoption status by various companies.
DRIVE AGX is a platform that is comprised of the "Xavier" processor for autonomous machines, as well as an AI that recognizes and determines the external environment surrounding the car, and an AI that recognizes the vehicle’s internal environment and driver status.
However, the realization of autonomous driving requires the support from a data center or a cloud server, which handles AI deep learning training and simulations.
Currently, 450 or more companies, including automakers, suppliers, sensor companies, and map companies have adopted the NVIDIA DRIVE AGX, of which 55 companies have their head offices located in Japan. This report also covers the recently announced implementation by Toyota, Subaru, Isuzu, Audi, Daimler/Bosch, and Yamaha Motor.
Related report:
NVIDIA: The rapid evolution of Deep Learning and its applications (August 2018)
Local Reconstruction Note
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Announcement of the NVIDIA DRIVE AGX for autonomous driving systems
The source outline identifies this section as part of “NVIDIA’s DRIVE AGX AI platform for autonomous driving”. Based on the available local metadata, this section should be read through the lens of Subaru, NVIDIA, Sensor, GPU, Daimler, Technology Show and the visible introduction, figures, captions, and tables.
NVIDIA DRIVE’s composition
The source outline identifies this section as part of “NVIDIA’s DRIVE AGX AI platform for autonomous driving”. Based on the available local metadata, this section should be read through the lens of Subaru, NVIDIA, Sensor, GPU, Daimler, Technology Show and the visible introduction, figures, captions, and tables.
NVIDIA DRIVE Constellation and DRIVE Sim conducts simulations
The source outline identifies this section as part of “NVIDIA’s DRIVE AGX AI platform for autonomous driving”. Based on the available local metadata, this section should be read through the lens of Subaru, NVIDIA, Sensor, GPU, Daimler, Technology Show and the visible introduction, figures, captions, and tables.
Ensuring the safety of autonomous driving vehicles through redundancy and diversity (CEO Jensen Huang)
The source outline identifies this section as part of “NVIDIA’s DRIVE AGX AI platform for autonomous driving”. Based on the available local metadata, this section should be read through the lens of Subaru, NVIDIA, Sensor, GPU, Daimler, Technology Show and the visible introduction, figures, captions, and tables.
Toyota, Audi, and Daimler adopt NVIDIA DRIVE
The source outline identifies this section as part of “NVIDIA’s DRIVE AGX AI platform for autonomous driving”. Based on the available local metadata, this section should be read through the lens of Subaru, NVIDIA, Sensor, GPU, Daimler, Technology Show and the visible introduction, figures, captions, and tables.
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