Tesla shifts Fremont factory to mass-produce robots
The automaker has converted its legacy vehicle line to manufacture Optimus units, aiming for a weekly output of 20,000 by next year.
By Xiaoyu Wang ·

Tesla has officially begun manufacturing its Optimus humanoid robots on a high-volume production line inside its Fremont factory, marking a transition from prototype development to commercial-scale output. The company states that the units coming off this specific line are the first to meet the quality standards required for a finished product, signaling a major milestone in the project's timeline.
In its third-quarter shareholder letter, Tesla confirmed that the current manufacturing process is suitable for a commercial product. The production line occupies the same space within the Fremont facility that previously housed the assembly of Model S and Model X vehicles. The company cleared out the old car equipment in 46 days this spring to make room for the new robot infrastructure, which is designed with a long-term capacity of one million units per year.
During the earnings call on Wednesday, CEO Elon Musk provided details on the ramp-up schedule. He noted that most of the necessary equipment for that one-million-unit capacity is already installed in Fremont. As production accelerates, the company expects output to climb toward approximately 20,000 robots per week. Musk described the growth trajectory as a classic S-curve, though he cautioned that the initial phase will feature a shallow slope before accelerating.
The engineering team is currently focused on refining the robot's artificial intelligence, electromechanical design, reliability, and overall service life. Tesla expects to complete this refinement work by the end of next year. Once that phase is finished, the company plans to begin delivering Optimus units to outside businesses. These robots are intended for roles that involve dangerous conditions, repetitive tasks, or operations that require around-the-clock attention.
A central challenge for Tesla is how to train the robots efficiently. Unlike its vehicles, which generate training data from a massive fleet of millions of cars on the road, Optimus does not have a comparable existing fleet. Musk acknowledged this disparity, noting the lack of a vast vehicle network to gather data from. To solve this, Tesla is establishing an internal training environment known as the Optimus Academy.
The Academy will utilize a pool of 10,000 to 20,000 robots to practice a wide variety of tasks. These units will feed the data they generate back into the system, helping to train the next version of the model. Under this strategy, every single robot that comes off the Fremont production line serves as a source of training data, creating a self-improving loop as the fleet grows.
Hardware upgrades are also part of the roadmap. Tesla plans to integrate its AI5 chip into the Optimus platform next year. Musk indicated that a new video demonstration of the robot should be released within one or two months. This upcoming showcase will focus on tasks driven by artificial intelligence rather than preprogrammed motions, a distinction Musk emphasized to differentiate Tesla's approach from rival demonstrations that rely on scripted routines.
The supply chain for the program is also taking shape. In September, Tesla certified Tuopu, Joyson, and Sanhua as mass production partners for key Optimus components. Meanwhile, a much larger dedicated factory for Optimus is under construction at Giga Texas. Recent drone footage showed the steel frame of that facility nearing completion, with Musk setting a long-term target for that plant to produce 10 million robots annually.
Executives stated that Optimus production costs are trending toward the expected manufacturing costs of the Cybercab, indicating that the robot is being engineered for high-volume efficiency from the start. The robot's hands remain the most difficult component of the design, a point Musk reiterated at the X Takeover event earlier this month. Significant engineering effort is currently directed at solving the complexities of the hand mechanism to ensure durability and precision in real-world applications.
Source: Teslarati





