Tesla is developing the Cortex supercomputer in Austin, Texas, aimed at enhancing its autonomous vehicle capabilities. This supercomputer will utilize over 100,000 Nvidia H100 and H200 chips to process vast amounts of video data collected from Tesla vehicles worldwide. As competition in the electric vehicle market intensifies, Tesla's focus on AI and autonomy is seen as a strategic move to maintain its edge.
The Cortex facility is designed to support both the Full Self-Driving system and Tesla's humanoid robots, showcasing a high-tech environment filled with advanced hardware. With significant power requirements, the supercomputer reflects the growing demands of AI data centers. Despite ambitious plans, Tesla's Full Self-Driving technology still faces scrutiny and challenges, including ongoing investigations into its safety and efficacy.
• Tesla's Cortex supercomputer aims to revolutionize autonomous driving technology.
• Nvidia chips power Tesla's AI training for Full Self-Driving and humanoid robots.
Tesla's Cortex supercomputer is being built to process large datasets for training its AI systems.
The FSD system is a key focus of Tesla's AI development efforts, although it has faced criticism for its current limitations.
Tesla's Cortex is positioned to be one of the most powerful AI training clusters, utilizing extensive video data from its vehicles.
The company is investing heavily in AI to enhance its vehicle capabilities and maintain market leadership.
Its chips are integral to Tesla's supercomputer projects, enabling advanced AI training for autonomous systems.
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