Tesla, the renowned electric car manufacturer, is ready to make waves in the AI market with the introduction of its impressive $300 million AI computing cluster. This move aims to demonstrate that Tesla is not only a leader in the automotive industry but also a formidable player in the field of AI investment.
According to Oppenheimer analyst Rick Schafer, the computing cluster will be equipped with 10,000 Nvidia H100 GPUs, boasting impressive power that surpasses even the world’s third most powerful supercomputer. Despite requests for comment, Tesla has remained tight-lipped about their latest technological venture.
This recent development sheds light on the evolving nature of the AI ecosystem. Nvidia, a prominent player in the market, provides the essential hardware and software required for AI computing. Meanwhile, Tesla utilizes Nvidia’s products as they strive to create the ultimate innovation in AI: self-driving cars.
As Schafer highlights in his report, Tesla’s investment in enhancing their computing capabilities is aimed at accelerating the development of their full self-driving technology. In fact, Tesla has committed to allocating over $2 billion for AI training in 2023, and an additional $2 billion in 2024.
With this significant investment and their partnership with Nvidia, Tesla is keen on solidifying their position as a frontrunner in AI technology. As they continue to push boundaries and redefine the future of transportation, we can expect more groundbreaking advancements from this visionary company.
Self-Driving Technology: Unlocking Value for Tesla
Elon Musk, CEO of Tesla, has reiterated his belief that self-driving technology will revolutionize his company’s value. Musk envisions a future where all Tesla vehicles on the road can seamlessly transition into “robotaxis” once the driver-assistance software reaches an advanced stage. Customers would then have the option to pay upfront or annual fees to access this cutting-edge technology, allowing Tesla to establish and operate its own fleet of robotaxis.
To expedite the development process, Tesla has introduced a new AI cluster that plays a crucial role in teaching and refining the software. Musk’s emphasis on artificial intelligence has positioned Tesla as a leader in this field. He considers developing self-driving cars even more challenging than creating an AI system like ChatGPT.
Despite the challenges, progress is being made to achieve the level of autonomy where drivers can divert their attention from the road or where mass-market vehicles can operate entirely without a driver. Musk recently shared a video of himself taking a self-driving Tesla ride on his social-media platform X (formerly known as Twitter), demonstrating the ongoing advancements in autonomous driving technology.
Investors are well aware of Musk’s ambitious AI endeavors, however, the news of the new computer’s introduction has had minimal impact on Tesla’s stock performance. Early trading on Tuesday reflects a slight decline of 0.2%, whereas the S&P 500 remains unchanged and the Nasdaq Composite experienced a marginal 0.2% downturn.
Similarly, Nvidia’s stock has also experienced a minor decline of 0.4%.