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Tesla Dojo 2: Supercomputer chip goes into mass production – AI turbo

Tesla Dojo 2: Supercomputer chip goes into mass production – AI turbo

Electromobility is hardly conceivable without Artificial Intelligence – and this is exactly where Tesla Dojo 2 comes in. According to current information, the newly developed supercomputer chip has started mass production at TSMC. Goal: Exascale power for training large neural networks so that functions like FSD (Supervised), Robotaxi, and the humanoid robot Optimus can be developed faster, more efficiently, and more cost-effectively.

Why Tesla Dojo 2 is so important

Tesla still relies on purchased GPUs, but Dojo 2 is a custom-built system – optimized for video data originating from millions of Teslas and in the future also from Optimus. The faster this data is processed and edge cases are recognized, the faster FSD improves. The step into mass production shows: Tesla is serious about its own AI hardware and the vertical integration of the complete stack – from the camera in the car to the computing unit in the data center.

Architecture: Custom work instead of mass production

  • Application-specific instruction sets for matrix multiplications & systolic arrays

  • New packaging via TSMC's InFO-SoW ensures extremely high bandwidths between the dies and better heat dissipation

  • Close integration of hardware, compiler, and training software – without the overheads of foreign platforms

Exascale in sight: More speed for…

  • FSD Training: Billions of video frames need to be analyzed, labeled, and processed – Dojo 2 shortens the time to the next model iteration.

  • Optimus: The robot uses a variant of FSD to understand its environment. Better training data = faster autonomy in everyday life.

  • Grok & Robotaxi: Language models and fleet intelligence also benefit. The larger the model and the larger the dataset, the more important the computing power.

What does Dojo 2 offer compared to standard GPUs?

  • Higher efficiency per watt and per dollar because the design is precisely tailored to Tesla's workloads

  • Lower latencies due to short data paths in the chip cluster

  • Scalability: More chips, more tiles, more racks – expandable as needed

Musk's wink: “Plays Crysis with 1 billion FPS”

Elon Musk commented on the launch in his usual flippant manner. However, behind the joke lies a serious signal: Tesla Dojo 2 is “a good computer” – and a strategic building block to avoid being dependent on supply bottlenecks from other manufacturers in AI.

What does this mean for you as a Tesla driver?

In the short term, nothing changes for your vehicle. In the medium to long term, you will receive:

  • More frequent and larger FSD updates with noticeable improvements

  • Faster response to new traffic situations (“edge cases”)

  • Prospective new features based on better-trained models (e.g., smarter summon functions or an even more natural Grok assistant)

Conclusion

With Tesla Dojo 2, a key project enters the decisive phase. The chip makes Tesla more independent, accelerates AI training, and thus strengthens all future products – from autonomous driving to humanoid robots. For European customers, this is good news: The faster Tesla makes global progress, the faster stable, high-performance updates also come to Europe.

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