Most popular Daimler and Bosch choose NV for their

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On July 11, Daimler, Bosch and NVIDIA announced that they would cooperate to promote the development of L4 and L5 automatic driving, which is called by people in the automotive industry as autonomous driving cars

imagine calling an driverless car with one smart button: the fully autonomous vehicle based on the drive Pegasus AI supercomputer will open a new era of "mobile as a service"

just press the button on the smart button to start. Daimler, Bosch and NVIDIA have worked together to enable fully automatic driverless vehicles to drive in the city streets. This cooperation will not only be a change in driving style

although one billion vehicles in the world travel a total of 10 trillion miles every year, these vehicles are idle most of the time and occupy valuable ground space when parking. On the way, they are often trapped on the congested roads. Mobility services will solve these problems that plague urban areas, unleash the potential and completely change the way we travel

globally, we see companies such as Uber, LYFT, didi and Ola are rapidly adopting new mobile services. However, the limited number of available drivers may limit its continuous growth

and driverless cars can be the solution - they are equipped with a large number of sensors, supported by extremely energy-efficient supercomputers, and run AI software that can be used as a virtual driver

on July 11, Daimler, Bosch and NVIDIA announced their cooperation to promote the development of L4 and L5 automatic driving, which is called by people in the automotive industry, that is, cars that can drive independently

there are many mobile services based on autonomous vehicle, and some respondents (4.16%) think that enterprises lack multiple advantages of business operation models. These vehicles integrated with AI will improve traffic flow, enhance safety and provide better mobile services. In addition, analysts predict that the cost of riding in an on call driverless car will be only 17 cents per mile. Office workers will be able to work on the road and recover productivity losses worth about $99billion a year

it can not only improve the convenience of transportation, but also reduce the cost. This ability itself contains great opportunities. KPMG said that by 2030, driverless cars and services will develop into a $1trillion industry

in order to seize the opportunity, well-known automobile brands need to integrate the latest technology into their current work. Our AV computing platform NVIDIA drive will help them combine these technological breakthroughs with their own architectures - including deep learning, sensor fusion, image recognition, cloud computing, etc

our cooperation with Daimler and Bosch will give full play to their respective advantages. NVIDIA is a leader in AI and autopilot platforms. Bosch is the world's largest tier one automotive supplier, with expertise in hardware and systems. Daimler, the parent company of Mercedes Benz, brings expertise in the field of finished vehicles, and its global brand can be called a synonym for safety and quality

realize road intelligence

we jointly face great challenges. Faced with pedestrians, cyclists, traffic lights and other vehicles, even excellent human drivers will feel pressure when driving in crowded urban streets

in this chaotic and unstructured environment, the demand for computing power is increasing rapidly. Bosch said that only one camera can generate 100 gigabytes of data per kilometer

now imagine a fully automatic vehicle or an autonomous taxi. There is a set of sensors equipped with high-resolution cameras, lidar and radar around its body, which can sense objects from a long distance. At the same time, they will be combined with a variety of sensors designed to observe color, measure distance, and detect motion under various conditions. These systems create a level of diversity to improve safety and provide redundancy to provide backup in the event of failure. However, these large amounts of information need to be deciphered, processed and put into use by multi-layer neural networks in almost an instant

nvidia drive can provide high performance to run various deep neural networks at the same time, so as to ensure the safe driving of vehicles in urban environment

if you want to run dozens of complex algorithms at the same time, you need very high computing performance to execute them in a few milliseconds, so that the car can run safely and comfortably

Daimler and Bosch choose drive pegasus

nvidia drive Pegasus is an AI supercomputer specially designed for autonomous vehicle, which can provide 320 tops (trillions of operations per second) performance to handle these diverse and redundant algorithms. It is only the size of a license plate, but its performance is equivalent to six desktop workstations running at the same time

this is the most energy-efficient supercomputer ever - only one watt is consumed to perform a trillion operations. By minimizing energy consumption, we are able to expand our operating range

The architecture of Pegasus is designed to ensure security and high performance. This vehicle specification level and functional safety production solution uses two NVIDIA Xavier system level chips and two next-generation GPUs specially designed for AI and visual processing. This jointly designed hardware and software platform meets the requirements of asil-d ISO 26262 standard for the first time in history, which is the highest level of automotive functional safety in the industry. Even if a fault is detected, the system can still operate

from car to cloud

nvidia AV solutions go beyond the functions of traditional cars. The NVIDIA DGX AI supercomputer for data center is used to train the deep neural network, so that the vehicle can provide superhuman perception level. The new dgx-2 has the performance of 2 petaflops, and its time, space, energy and cost for deep learning training are far lower than that of CPU server

after training on a powerful GPU based server, NVIDIA drive installation AV simulator can be used to test and verify the complete software "stack" finally placed in the vehicle. This high-performance software stack covers all aspects of autonomous vehicle driving, from object detection, in-depth learning and computer vision, to map localization and path planning, all running on drive Pegasus

in the next few years, drive Pegasus will play a key role in helping automakers meet surging demand. IHS Markit, a market research company, said that by 2040, the "mobile as a service" industry will purchase more than 10million vehicles, far higher than the 300000 vehicles in 2017

"the cooperation with Bosch and Daimler shows that NVIDIA drive Pegasus architecture meets the key needs of automobile manufacturers in coping with the challenge of autonomous driving," pointed out Luca de ambroggi, senior research director of IHS Markit artificial intelligence, "NVIDIA combines AI hardware, software, integrated platform and simulation and verification tools to create more value for AV development."

the booming "mobile as a service" ecosystem

nvidia drive ecosystem continues to expand in all areas of automatic driving, from automatic driving taxis, trucks to delivery vehicles. At present, more than 370 companies have adopted the drive platform. Today, our cooperation with Daimler and Bosch will create innovative driverless vehicles and services, which will not only optimize urban streets, but also bring this 3D printing material recycling system named refabricator to our lives. It can transform waste plastics and old 3D printing material components into original plastic materials compatible with the international space station (ISS) 3D printing system

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