A Supercomputer For Computer Vision And Recognition

Tesla Dojo: The Supercomputer Revolutionizing AI and Machine Learning

A Supercomputer for Computer Vision and Recognition

Tesla Dojo is a revolutionary supercomputer designed and built by Tesla for computer vision video processing and recognition. It will be used to train Tesla's machine learning models, enhancing the capabilities of its Full Self-Driving (FSD) system.

Key Features of Tesla Dojo

The core of Tesla Dojo's computing prowess lies in the training tile, which integrates a 5x5 array of 25 self-designed D1 chips. These chips are manufactured using a 7-nanometer fabrication process, ensuring efficiency and performance.

To support the immense computing power of the D1 chips, Tesla has developed a custom interconnect fabric that allows for seamless communication between the chips and other components of the system.

Project Details and Funding

Tesla has announced a $500 million investment to build a giant Dojo supercomputer cluster at Gigafactory New York in Buffalo. This investment underscores Tesla's commitment to developing cutting-edge AI technology for its vehicles and future products.

Impact on Tesla's Development

Tesla Dojo represents a significant milestone in the company's journey to create a self-driving future. By having complete control over the development and design of its supercomputer, Tesla can accelerate innovation in AI and machine learning, leading to rapid advancements in FSD and other technologies.