The cortex AI training supercluster is powered by 100,000 Nvidia GPUs, utilizing a 500 MW cooling system for optimum performance.
Key Highlights of the Cortex AI:
- The Cortex AI cluster facility hubs H100 and H200 GPUs in large numbers.
- The facility will accelerate the training of Tesla’s Full Self-Driving (FSD).
In a recent video shared on his X social media handle, Elon Musk revealed an exclusive inside look soon-to-be-launched “Cortex AI” facility at the ongoing expansion of Tesla’s GigaTexas complex at the Tesla HQ in Austin. This new addition is set to become the epicenter of Tesla’s AI research and applications.
The Cortex facility at Tesla’s GigaTexas complex is powered by approximately 100,000 Nvidia H100 and H200 GPUs. These GPUs are among the most advanced in the world, designed specifically for high-performance AI training and deep learning tasks.
The H100 and H200 GPUs offer significant improvements in processing speed and efficiency compared to previous generations, thanks to their advanced architecture, which includes the latest upgrades in tensor cores and memory bandwidth.
Despite their high performance, these GPUs used at the Tesla headquarters are designed to be energy-efficient, aligning with the sustainability goals of the Cortex facility at Austin. Their scalability allows them to be used in large clusters, providing the necessary computational power for extensive AI training.
Have a look at the official video revealed by the CEO of Tesla, Elon Musk:
In the Cortex AI training facility, these GPUs will play a crucial role in training Tesla’s Full Self-Driving (FSD) system, enhancing its ability to navigate complex driving environments safely and efficiently. They will also support the development of Tesla’s Optimus robot, enabling it to perform a wide range of tasks with high precision.
With the Cortex, Tesla aims to accelerate the development of its autonomous driving technology. The enhanced data processing and storage capabilities will allow for more efficient and accurate training of AI algorithms, bringing fully autonomous vehicles closer to reality. This facility is expected to significantly improve the performance and safety of Tesla’s self-driving systems.
Beyond automotive applications, the Cortex will contribute to broader AI research, potentially leading to breakthroughs in various fields of science. The integration of Nvidia’s H100 and H200 GPUs into the Cortex facility highlights Tesla’s commitment to leveraging cutting-edge technology to drive innovation in AI and autonomous systems.
The breakthroughs in AI and machine learning achieved in the Cortex facility could have far-reaching effects across various sectors. The Cortex’s supercomputer cluster could set new benchmarks in computational power and efficiency, influencing future AI research centers worldwide.
The Cortex training facility at Tesla Headquarters will feature massive storage capabilities and a robust cooling system to manage the high data processing demands. The facility will utilize a 500 MW cooling system to ensure optimal performance of the AI training supercluster without overheating. This setup is crucial for handling the extensive data required for training Tesla’s AI models, including the Tesla HW4 and AI5 systems.
Despite the enormous power utilization at the Tesla Cortex facility, Tesla remains committed to sustainability with the Cortex project. The facility will be powered by renewable energy sources, aligning with Tesla’s mission to reduce carbon footprint. This approach ensures that the advancements in the Ai technology made at the Cortex AI facility are achieved responsibly and sustainably.
Elon Musk’s Cortex facility at GigaTexas marks a significant milestone in Tesla’s AI journey. Once the Cortex begins operations, it is expected to drive substantial advancements in AI technology, positioning Tesla at the forefront of the AI revolution.
As the facility nears completion, Tesla fans and AI researchers worldwide are eagerly awaiting further updates and inside looks at the facility.
This post was last modified on August 28, 2024 12:47 am