Like a devotee of Dogecoin, This Mayor of Reno, And leadership Savior, Aldo Baoicchi firmly believes that cryptocurrency is the future.The CEO and founder of Canadian scooter manufacturer Daymak was so convinced that when he launched the company’s first self-driving car, the 2023 Spiritus, last month, he touted an additional feature: the ability to dig Cryptocurrency When the car is parked. Baiocchi told WIRED that the company is still developing software for this purpose, but the designer hopes that crypto mining for car owners is as easy as pressing a button.He said the solar energy on the roof of three-wheeled electric vehicles should help offset the energy consumption of mining Bitcoin.
“We have equipment in the car. We think we might as well dig and make some money for the rider,” he said.
Car buyers now consider factors such as safety, fuel economy, and resale value.But some companies started to talk about the computing power contained in it Self-driving car As a selling point.
RAND Corporation estimate Self-driving cars on the road can save hundreds of thousands of lives and change the world, but they can also change the world if they are parked in a garage. The computing power of self-driving cars can be used to solve personal problems such as editing high-definition videos or global problems such as decoding new viruses.
This is because self-driving cars are a collection of dozens of cameras, sensors, and software systems that work together to navigate while avoiding pedestrians, cyclists, and other vehicles. To do this, these vehicles have computing power: NvidiaThe company that makes chips for self-driving cars says that the computing power of a self-driving car is equivalent to 200 laptops in its trunk. This has led some people to refer to self-driving cars as data centers or supercomputers on wheels.
Keith Strier, vice president of Nvidia’s global AI program, envisions a world in which governments can use self-driving cars that are idle at night to meet the computing needs of countries that do not have expensive equipment. supercomputer. He too Chairman of the OECD Working Group This helps countries calculate the amount of calculations they need. He said that the organization plans to release a document later this year to draw attention to the role that autonomous vehicles may play in providing these computing resources.
Strier said that turning millions of cars into a supercomputer would be more resilient than a large supercomputer and less vulnerable to attacks, which is a commonly used method today. In the past, supercomputers were most commonly used in academic and government research projects such as weather forecasting, but powerful computers now play a role in economic and innovation fields, and are increasingly associated with the country’s national security and prosperity.
“This idea has great potential, because what we see in these cars is not thousands, but tens of millions of supercomputers,” he said. “In the United States or Germany, this may not be a big problem, but in a smaller country, as autonomous trucks and cars hit the road, it completely changes the country’s computing potential.”
Technical challenges still exist, but the idea seems to be gaining popularity among companies that sell hardware to automakers. Qualcomm currently works with more than 20 car manufacturers to support technologies that allow cars to communicate with each other 5G. Nvidia is also increasing its influence in the automotive sector: by 2024, Mercedes will start producing cars with built-in Nvidia GPUs.
Canadian car and scooter manufacturer Daymak is the latest company to sell cars that exceed mileage or under the hood.Ford is bringing its electric F-150 pickup to the market because it can Power your home for a few days.
Not everyone thinks it makes sense to use car computers for purposes other than driving. Liu Shaoshan is the founder of Perceptin, a company that specializes in autonomous driving and computer vision, with offices in the United States and China. He said that offloading calculations from self-driving cars for encryption is a crazy and unrealistic idea, which raises questions about energy consumption and network bandwidth costs.