Tesla's Massive Computing Power Boosts FSD Training for Autopilot

Sunday - March 31 2024, 11:54 UTC - 7 months ago

Tesla announces a significant upgrade in computing power for training their FSD AI, with access to over 100 exaflops of compute and 1 exabyte of storage. This allows their self-driving technology to handle even more complex situations and continuously improve from real-world driving data, putting Tesla ahead of other companies in the race towards fully autonomous driving.

In a recent announcement, Tesla revealed that they have significantly upgraded their computing power for training their Full Self-Driving (FSD) AI. This is a huge step forward for the electric car company, as it will greatly accelerate their progress towards achieving fully autonomous driving.

In August of 2023, Tesla announced that they were activating 10,000 units of the Nvidia H100 cluster, a high-performance computing platform designed for artificial intelligence (AI) applications. Along with this, they also added over 200 Petabytes of hot cache (NVMe) storage. This massive amount of memory is used to train their FSD AI on the vast amount of video driving data that Tesla collects from their vehicles.

Just yesterday, Elon Musk posted on Twitter that their FSD training is no longer compute constrained. This implies that Tesla has activated even more computing power and storage for their AI training. It is estimated that with this upgrade, Tesla now has access to over 100 exaflops of compute power and over 1 exabyte (1000 Petabytes) of storage.

This significant boost in computing power means that Tesla's FSD AI can now handle even more complex situations and scenarios, as well as process larger amounts of data at a faster speed. This gives them a competitive edge over other companies who are also working towards developing self-driving cars. With this advanced technology, Tesla's vehicles will be able to continuously learn and improve from real-world driving data, making their self-driving capabilities even more reliable and safe.

The upgrade also highlights Tesla's commitment to constantly improving and innovating their technology. Their use of AI for self-driving cars is paving the way for a future where driving is safer and more efficient. The FSD AI is trained using a combination of simulation data and real-world driving data, ensuring that it is prepared for any situation it may encounter on the roads.

In conclusion, Tesla's massive computing power boost for FSD training is a major step towards achieving fully autonomous driving. Their investment in advanced technology and their dedication to constantly pushing the boundaries of what is possible shows their commitment to revolutionizing the automotive industry.