Tesla has officially ended its Dojo supercomputer project, a move that has led to the reassignment of semiconductor and firmware engineers to other teams within the company. The decision follows leadership departures and a broader restructuring of Tesla's artificial intelligence priorities. Tesla is shifting away from in-house chip production, opting instead to partner with established chipmakers such as Nvidia, AMD, Samsung, and Intel Foundry for packaging services, integrating these suppliers into its AI supply chain. The company is now focusing its AI efforts on developing advanced AI chips to support its Full Self-Driving (FSD) technology and robotics initiatives, including the Optimus robot project. Following the Dojo shutdown on August 7, Tesla has redistributed affected employees and redirected AI talent toward these priorities. In parallel, Tesla is expanding its FSD testing operations, having received approval to test Full Self-Driving on public roads in Norway with two vehicles. Additionally, Tesla has begun hiring self-driving test drivers in New York City, signaling plans to launch a robotaxi ride-hailing service despite current regulatory challenges. These developments underscore Tesla’s strategic pivot to accelerate its autonomous driving and robotics ambitions using external chip partnerships and expanded real-world testing.