Pioneering AI: Inside Tesla’s Cortex and Dojo Supercomputer Projects

  • 🖥️ Cortex, Tesla’s supercomputer cluster, is housed at the Giga Texas complex.
  • 🎥 Elon Musk shared a sneak peek of Cortex via a video on social media platform X.
  • 🖥️ Cortex features approximately 100,000 Nvidia H100/H200 GPUs for AI training.
  • 🚗 Tesla’s AI efforts focus on Full Self-Driving (FSD) and the Optimus humanoid robot.
  • 🏗️ Construction at Giga Texas includes a new extension to accommodate Cortex.
  • 🌡️ The facility’s cooling needs are massive, reaching 130 MW now and 500 MW in 18 months.
  • 💼 Tesla is also developing another supercomputer, the Dojo project, in Buffalo, NY.

In recent years, Tesla has not only revolutionized the automotive industry but has also made significant strides in artificial intelligence and computing technologies. At the heart of these advancements are Tesla’s supercomputer clusters, the Cortex housed at Giga Texas, and the Dojo project being developed in Buffalo, New York. This blog post delves into Tesla’s groundbreaking supercomputing efforts, their impact on the company’s AI developments, and what it means for the future of autonomous technology.

A Peek Inside Tesla’s Cortex

Recently, Elon Musk offered a first look inside the Cortex supercomputer cluster, sharing a video on the social media platform X. Located at the Giga Texas complex, the Cortex is a powerhouse of computation specifically designed to bolster Tesla’s artificial intelligence endeavors. What sets Cortex apart is its vast array of approximately 100,000 Nvidia H100/H200 GPUs, making it one of the most advanced AI training infrastructures in the world.

The Significance of Cortex

  • Enhanced AI Training: With such a massive GPU deployment, Cortex provides an unprecedented capability for AI training, which is crucial for Tesla’s Full Self-Driving (FSD) and humanoid robot projects.
  • Infrastructure Expansion: To accommodate the immense hardware, Giga Texas saw new construction to host Cortex efficiently.
  • Cooling Requirements: The facility’s energy demands are substantial, necessitating 130 MW of cooling currently, with plans to expand to 500 MW within the next 18 months.

Tesla’s AI Vision: Full Self-Driving and Optimus

Tesla’s AI objectives are focused primarily on two ambitious projects: Full Self-Driving capabilities for their vehicles and the Optimus humanoid robot.

  • Full Self-Driving (FSD): Aiming for a significant leap towards autonomous driving, FSD relies heavily on the computational prowess that supercomputers like Cortex provide.
  • Optimus Humanoid Robot: Envisioned as an assistive and labor robot, Optimus stands to benefit from rapid AI training, potentially revolutionizing various industries such as manufacturing.

The Dojo Project: A New Frontier in Supercomputing

Parallel to Cortex, Tesla is developing another pioneering supercomputer, the Dojo, in Buffalo, New York. Dojo is set to further enhance Tesla’s capabilities in AI and machine learning, aiding especially in the advanced development of autonomous systems.

Key Features of the Dojo Project

  1. Strategic Investment: Tesla is investing $500 million into the Dojo project, with $350 million earmarked for development by the end of next year.
  2. Broader AI Applications: Expected to enhance Tesla’s vehicle and robotics technologies, Dojo is also anticipated to explore broader applications in AI and other related fields.
  3. Technological Collaboration: The development of Dojo signifies Tesla’s commitment to maintaining a competitive edge in technology through collaborative ventures with other tech hubs.

Conclusion

Tesla’s investment in supercomputing reflects its commitment to pushing the boundaries of AI and autonomous technology. Through the Cortex and Dojo projects, Tesla is not just creating groundbreaking vehicles but is laying down the architecture for future technological advancements that could ripple across multiple industries worldwide. As these supercomputers unlock new potential in AI training and application, Tesla’s role as a pioneer in this sphere is more evident than ever.

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