According to Sawyer Merritt, Tesla announced plans to more than double the size of its onsite compute resources in Texas by the first half of 2026, measured in H100 GPU equivalents. The company aims to maximize capital efficiency by scaling its AI training infrastructure strategically, addressing training backlogs and future compute demands. This expansion signals Tesla's commitment to advancing AI-powered autonomous technologies, with significant implications for AI model training and business scalability, as reported by Sawyer Merritt on Twitter.