Tech · Elon Musk

Tesla Targets 20,000 Weekly Optimus Robots as It Launches Self-Teaching Academy

The automaker is ramping production in Fremont toward high-volume output, relying on a massive internal testing fleet to train its humanoid machines.

By Mei Lin ·

Twenty thousand robots per week. That is the near-term production target Tesla has set for its Optimus line, a figure that signals a significant acceleration from the initial rollout phase. On Wednesday’s earnings call, CEO Elon Musk confirmed that the majority of the necessary equipment is already installed in the Fremont facility, positioning the company to scale output rapidly as the line ramps up.

The shift to high-volume manufacturing is not hypothetical. Tesla stated in its third-quarter shareholder letter that the units coming off the current assembly line are the first to meet production-quality standards. The company asserts it has proven that the existing manufacturing process is suitable for a commercial product, marking a transition from prototype status to a viable industrial item. This line occupies space in the Fremont factory that previously manufactured Model S and Model X vehicles until this spring.

To accommodate this new focus, Tesla cleared the old vehicle assembly line in just 46 days. The repurposed space is now configured for robot production with a long-term capacity designed to support one million units annually. Musk described the upcoming growth trajectory as a classic S-curve, noting that the initial slope will be shallow before the rate of output increases significantly.

A critical challenge in scaling humanoid robotics is the lack of a massive fleet to generate training data. Unlike Tesla’s vehicle division, which benefits from real-world driving data sent back from millions of cars, Optimus currently has no comparable external network. Musk acknowledged this disparity, stating that the company does not have a vast fleet of robots to gather training information from in the wild.

Tesla’s solution is an internal initiative dubbed the Optimus Academy. The plan involves deploying between 10,000 and 20,000 robots to practice a wide variety of tasks within a controlled environment. These units will feed their performance data back into the AI model, effectively allowing the robots to teach themselves. Every unit produced on the Fremont line is intended to serve as a source of this essential training data, creating a feedback loop that improves the system with each iteration.

Hardware upgrades are also in the pipeline to support this learning process. Tesla intends to integrate its AI5 chip into Optimus units next year. Additionally, Musk indicated that a new video demonstrating the robot completing tasks driven by artificial intelligence, rather than preprogrammed motions, should be released within one to two months. He contrasted this approach with rival humanoid demonstrations, arguing that scripted routines often fail to hold up in real-world conditions.

The supply chain is already aligning with these production goals. In September, Tesla certified Tuopu, Joyson, and Sanhua as mass production partners for critical Optimus components. Meanwhile, a much larger dedicated factory is under construction at Giga Texas. Recent drone footage shows the steel frame of that facility nearing completion, with Musk pegging the long-term target for that specific plant at 10 million robots per year.

Executives noted that Optimus production costs are trending toward the expected manufacturing cost of the Cybercab, indicating that the robot is being engineered for volume from the outset. However, the hands remain the most difficult aspect of the design. Musk highlighted this point during the X Takeover event earlier this month, noting that much of the current engineering effort is focused on refining the reliability, service life, and electromechanical design of the limbs, with completion expected by the end of next year before deliveries to outside companies begin.

Source: Teslarati