TeslaCEOMuskTesla said on social media that it will invest about $10 billion inAItraining and inference, with inference primarily used for cars.
Musk added,Any company that fails to achieve this level of spending, and does so efficiently, cannot compete.
Previously, Musk has mentioned Tesla's strong hardware capabilities on different occasions.
He bluntly stated that Tesla's ownership of Nvidia H100 GPUs is second only to the technology giant Meta, ranking second in the industry and even surpassing many other competitors. This hardware configuration advantage undoubtedly provides strong support for Tesla's research and development of autonomous driving technology.
In January this year, Tesla took decisive action and purchased about 10,000 NVIDIA H100 GPUs. This move not only demonstrated the company's emphasis on autonomous driving technology, but also reflected its determination to invest in technological research and development.
Just a few months later in March,Tesla quickly deployed itsup to dateThe FSD (full self-driving) beta software update was quick and efficient, once again demonstrating Tesla's technical strength and execution in the field of autonomous driving.
It is worth noting that although Tesla's FSD function has not yet been implemented in China, its outstanding performance worldwide has attracted widespread attention in the industry. A research report pointed out that once FSD successfully enters the Chinese market, it will become a strong competitor for Chinese automakers' autonomous driving solutions, which will not only promote the rapid development of domestic autonomous driving technology, but also have a profound impact on the entire industry landscape.