Elon Musk recently reiterated his commitment to "bringing Tesla to the forefront." The vehicle fleet is viewed as a massive distributed data center. The idea of "".
On Wednesday (October 29), Musk responded to a netizen on social media, saying, "I am increasingly convinced that this idea ( Tesla fleet as data centers ) is feasible."
Concepts and technologies
This concept was raised during Tesla 's third-quarter earnings call, when Musk stated that the technology would be equipped with high-performance artificial intelligence. Tesla's (AI) inference capabilities Cars can become a vast distributed computing network, which means that each car becomes a high-performance AI processing node when it is not in motion.
It is understood that each Tesla is equipped with advanced hardware for autonomous driving, including the latest AI inference chip.
Under this scenario, if Tesla vehicles' AI inference capabilities are utilized, each car could provide approximately 1 kilowatt of processing power. If the fleet contains millions (or even up to 100 million) of vehicles, then this network could aggregate a total of 100 gigawatts of distributed computing power.
This approach avoids Tesla investing in building large, centralized data centers , as the entire fleet itself constitutes a global, distributed, and AI- driven network.
This innovative concept highlights Tesla's potential to redefine data processing and storage by leveraging existing resources, thereby improving efficiency and reducing infrastructure costs.
Tesla's AI Future
Tesla bulls, Wedbush Securities The company's analyst, Dan Ives, has been increasingly focused on the company's AI projects. Recently, he maintained his "outperform" rating on Tesla and set a price target of $600.
Ives stated, "Tesla's future development focus lies in autonomous driving and robotics." The AI revolution driven by technology projects.
Musk's concept of distributed reasoning will undoubtedly make Tesla more like an AI and robotics company than a traditional automaker.

(Article source: CLS)