TSLL

TSLA

<p>Tesla plans to invest over $1 billion by the end of 2024 to increase computing power to 100,000 PFLOPS to drive the development of end-to-end autonomous driving solutions. This signifies that end-to-end is triggering a new round of arms race, with winners typically being companies investing heavily in computing power. Meanwhile, other automakers such as Changan and Geely are also actively preparing for smart computing centers to meet the demand for computing resources in autonomous driving solutions. The specific details of Tesla's end-to-end autonomous driving solution are currently unclear, but many companies are following the trend closely to avoid being eliminated. Computing power has become a necessary condition for end-to-end, driving the fierce competition in smart computing centers</p>

- Tesla's end-to-end autonomous driving solution remains a mystery, with experts unable to provide a clear answer on the specific model architecture. The focus is on Tesla's significant investment in cloud computing power, aiming to boost total computing power to 100,000 PFLOPS by the end of 2024, reflecting a new arms race in end-to-end solutions.
- The industry witnesses a surge in smart computing centers, with companies like Tesla, Huawei, and others heavily investing in high computing power. The race intensifies as companies strive to achieve high-end autonomous driving levels, with varying approaches like "brute force computing" and "artisanal algorithm development."
- The debate between heavy computing power and algorithm refinement continues, highlighting challenges in cost control, black box issues, and standardized validation for end-to-end solutions. The industry's confidence in end-to-end solutions is high, despite ongoing challenges in implementation and validation methods.

Deciphering the end-to-end mystery of Tesla