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Tech · Elon Musk

Tesla Commences High-Volume Optimus Production at Fremont

The company has begun manufacturing production-ready humanoid robots on a dedicated line, aiming for a massive annual output capacity.

By Claire Darwish ·

Illustration for: Tesla Commences High-Volume Optimus Production at Fremont
Illustration generated for this article, not a news photograph.

Tesla has officially transitioned its Optimus humanoid robot from a developmental phase to full-scale manufacturing, marking a critical juncture in its push toward commercial viability. The company confirmed in its third-quarter shareholder letter that the units rolling off the new production line are the first to meet the standards of a genuine product. This shift signifies that Tesla has validated its current manufacturing process as suitable for a commercial product, moving beyond prototype status and into the realm of durable, consumer-grade robotics.

The physical infrastructure for this initiative is already in place. Tesla repurposed the space within its Fremont factory that previously produced the Model S and Model X. The company cleared the old vehicle assembly line in just 46 days to make room for robot production. This new facility is sized to handle one million units per year. According to CEO Elon Musk, most of the necessary equipment is already installed. He stated that output is expected to climb toward roughly 20,000 robots per week as the line ramps up, describing the growth trajectory as a classic S curve with an initially shallow slope.

The people driving this transition are focused on refining the robot's core capabilities before external delivery. Musk indicated that the team is currently working on the robot's artificial intelligence, electromechanical design, reliability, and service life. He expects this refinement work to be completed by the end of next year. Once that milestone is reached, Tesla plans to begin delivering Optimus units to outside companies. These deliveries will target roles involving dangerous, repetitive, and around-the-clock labor, where human workers may face significant risks or fatigue.

A central challenge in this strategy is the lack of a large existing fleet to generate training data. Unlike Tesla's cars, which send real-world driving data from millions of vehicles back to the AI team, Optimus does not yet have a comparable network. To solve this, Tesla is establishing an Optimus Academy. This internal program will utilize 10,000 to 20,000 robots to practice a wide range of tasks. The data generated by these practice runs will feed into the next version of the AI model, effectively turning every unit produced into a source of learning for the collective intelligence of the fleet.

Hardware upgrades are also part of the roadmap. Tesla intends to integrate its AI5 chip into Optimus units next year. Musk expects to release a new video within one or two months that demonstrates the robot completing tasks driven by AI rather than preprogrammed motions. He distinguished this approach from rival humanoid demonstrations that rely on scripted routines, arguing that such scripted performances would not hold up in the unpredictable conditions of the real world.

The supply chain is aligning with Tesla's production goals. In September, the company certified Tuopu, Joyson, and Sanhua as mass production partners for Optimus components. Meanwhile, a much larger facility for robot production is rising at Giga Texas. Recent drone footage showed the steel frame of this new plant nearing completion. Musk has set a long-term target for that facility at 10 million robots per year, indicating an ambitious scale for future operations.

Executives noted that Optimus production costs are trending toward the expected manufacturing cost of the Cybercab. This alignment suggests that the robot is being engineered for volume from the outset, rather than being a niche product. However, the hands remain the most difficult part of the design. Musk highlighted this point during the X Takeover event earlier this month. The hands are currently the focus of much of the engineering effort, as they must be dexterous enough to perform the varied tasks the robots are intended to handle in industrial and commercial settings.

Source: Teslarati · original report published

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