The timing could not have been worse.
Around midday trading on Tuesday, investors observed that Nvidia Corporation (NVDA) stocks began the intense selling pressure that would haunt stocks for the rest of the day.
It also began amid the keynote presentation by CEO Jensen Huang at the company's GTC conference. When Nvidia's reports of the company's temporary suspension of its self-driving car on public roads were confirmed, the shares began to cascade on that day.
The Nvidia share closed the day down 7.75% to close at $ 225.52
Wednesday morning did not offer much postponement, stocks fell just short of $ 220. It is a disappointing development for investors as the company announced so many great features and products during Huang's presentation.
In fact, the long presentation was in some ways startling, filled with a treasure chest of valuable information. But let's stick with the aspect of self-driving cars, because that's what the stock fell on Tuesday.
But here's everything else Nvidia introduced
"The transportation industry is one of the largest industries in the world ̵
Nvidia can temporarily suspend its self-driving program on public roads, but make no mistake, on Tuesday almost 8% and maybe even The further sale of this news seems like a major overreaction.
First, Nvidia does not give up this technology. Why should it be when data prove how much safer a self-driving car can be over a human being. Second, Nvidia is the market leader in this technology and forms the backbone of so many players in the industry.
Huang told us that Nvidia's Drive platform is now being used by 370 partners to build networks and products. This number continues to increase as technology advances. Everything the company has told us – from discussions at the Detroit Auto Show with Danny Shapiro, the company's senior automotive director, to the company's recent announcement at GTC – shows us that Nvidia holds the driver's seat
This week, Nvidia introduced the DRIVE Constellation, which uses cloud-based servers to simulate tests on self-driving automotive systems. In short, it allows the testers to drive a large number of scenarios on an autonomous driving system without actually putting the vehicle into this situation. However, the system thinks that the scenario is real.
The hardware – radar, lidar, etc. – reacts as if the situation were real, but it is actually running on another server. This synthetic environment allows Nvidia to test its system in all conceivable hazard scenarios without putting anyone in danger. It also allows the system to navigate thousands or millions of times in a difficult situation rather than traveling a few times in a real situation.
But the progress is not just outside. Artificial intelligence and sensors in the cab can also work with sensors and systems outside the vehicle. These systems work together to ensure driver safety.
Imagine the following: Say you want to turn left over a busy intersection. You look to the left – of course – look to the right and then turn around. If you do not see a car on the left, this could be a fatal scenario. But Nvidia's hardware can tell that the passenger is not looking to the left while getting off while a car approaches from the left. He can then prevent the car from slipping out and braking instead.
"This whole system is just such a big deal," Huang said.
It also shows quite clearly that Nvidia is not an automaker It will be the leader in this emerging industry of tomorrow by doing such rigorous groundwork today.
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