AI confronts Tesla! Huang Renxun cooperates with Toyota to "build the AV industry": the output value of autonomous driving will reach trillions of dollars.

Nvidia CEO Jensen Huang announced today at the Consumer Electronics Show (CES) that it will work with Toyota to develop autonomous driving technology based on Nvidia technology, which is expected to compete head-on with TSL, and the global automotive industry is expected to be impacted by visual computing AI. (Synopsis: Jen-Hsun Huang announced RTX5090 graphics card "twice the 4090 performance", equipped with AI technology DLSS 4; Huida big pump squeezed Apple back to Market Cap first) (Background supplement: Huida will launch the humanoid robot computing platform "Jetson Thor" physical AI ChatGPT next year? Nvidia CEO Jensen Huang announced today at the Consumer Electronics Show (CES) in the United States that it will cooperate with Toyota Motor Company, which sells 100 million units a year, to jointly develop autonomous driving, Huang said that the success of TSL and Waymo in the United States confirms the possibility of visual AI in the field of autonomous driving, and shows that the AV (Autonomous vehicles) industry will reach trillions of dollars. Huang said that autonomous driving depends on three types of computers built into the vehicle, including AIComputing Power computers that provide a lot of computing power, analog computers that can detect and judge the environment, and data generation systems, which may be one or two devices in different business cases: I'm really, really happy that today we can announce that Toyota will work with Nvidia to develop the next generation of autonomous vehicles. There are a billion cars on the road that drive more than a trillion miles a year, and these will all be autonomous vehicles in the future. It will be a very large industry, worth more than a trillion dollars, and could grow at a rate of $5 billion a year. Next-generation vehicle platform According to the slide content, the autonomous driving platform developed by Nvidia is called "AGX", the autonomous driving computer is equipped with Nvidia Drive OS, which is defined as a full-featured full-function safety autonomous vehicle design, in addition to the core computing power chip "Saul", it is also equipped with a large number of cameras, radar and ultrasonic sensors, and these detected driving information will be automatically converted into appropriate driving judgments and output commands in the platform. Huang Jenxun said that the prototype vehicle of the platform computer has also passed the highest ASIL safety car standard, with 70,000 lines of program code, 15,000 years of engineer hours investment, and 2 million practical tests, which can be said to have undergone many tests before being made public. Huang Jenxun now also shows the new system "Omnimap" combined with Omniverse and Nvidia Cosmos, which actually shows the visual effect on the AGX platform, through the accumulation of a large number of remote calculations of DGX computers, each AGX is like a supercomputer depicting the virtual Omniverse world inside. In a variety of environments, the data accumulated by AGX can be used by DGX to compute neural networks and images to achieve a more realistic and accurate Omnimap depiction. In the background, DGX can simulate the possible changes of different scenes in different time environments, so that the scene has infinite changes, so as to make AGX's automatic driving more mature, under computer computing, some driving data with only hundreds of times will be able to get billions of effective mileage in Omniverse, adding higher standards for safety and automatic driving. We are very excited about the fact that we can produce a myriad of data in the background to train AI based on physical principles and that are very accurate and reasonable, because just like the computer industry has evolved in the past, we will see the same rapid advancement in autonomous driving in the next few years, and it will accelerate significantly in recent years. Competition with TSL Although TSL is only mentioned at the beginning, in fact, Nvidia has cooperated with traditional car manufacturers such as Toyota to develop, and it is already openly competing with TSL. The biggest difference from today's TSL's autonomous driving is that Nvidia's announced vehicle platform is a general public version, and from the appearance, the test car does not seem to be a newly built autonomous driving vehicle, but only a computer and sensors are installed on traditional cars. This means that the upgrade of traditional cars to Nvidia automatic driving may have a high threshold, in the future, these car manufacturers should not have the qualification of each vehicle to obtain the automatic driving system, depending on the adaptability of Nvidia's AGX and various car manufacturers, the biggest probability is that the car factory will launch a new model for automatic driving. Compared to TSL, which was originally designed to produce vehicles for autonomous driving, even if the current vehicle is not fully autonomous, it can be said that the probability of painless upgrade is higher than that of Nvidia AGX and traditional car manufacturers. On the other hand, in the solution logic of the automatic driving scheme, TSL has been fully changed to pure vision mode, without relying on any radar sensors to fully auto drive, while Nvidia AGX is visual image AI plus lidar and other hybrid solutions to achieve, which makes the two in the development speed of automatic driving and system characteristics will be inherently different, although TSL has a first-mover advantage, in Nvidia a large number of Computing Under the investment competition of Power, there may be a situation of victory and defeat. Related reports BTC breaks $102,000! Trump will relax tariff policy, Huida, TSMC ADR hit a new high Musk's xAI completed a $6 billion Series C financing, Huida, BlackRock, a16z... A number of industry leaders participated in the investment Huida intends to set up overseas headquarters in Taiwan! Jiang Wan'an: Go all out to settle in North City 〈AI fights TSL! Huang Jenxun collaborated with Toyota to "build the AV industry": the output value of autonomous driving will reach trillions of dollars" This article was first published in BlockTempo's "Dynamic Trend - The Most Influential Block Chain News Media".