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Xiaomi’s 3nm Xuanjie O1 Chip Surpasses One Million Shipments

5 min read•May 3, 2026•
Liu Wei
Liu Wei

Xiaomi’s in-house designed 3-nanometer system-on-chip, the Xuanjie O1, has surpassed one million shipments, CEO Lei Jun told investors at the company’s investor day. The milestone makes Xiaomi the fourth firm globally capable of independently developing high-end smartphone SoCs at scale, joining Apple, Samsung, and Google. With plans to move the chip series into electric vehicles and smart devices, the achievement signals silicon capability that could eventually power the CyberOne humanoid robot with custom edge AI processing.

The Xuanjie O1 Milestone

The Xuanjie O1 is Xiaomi’s first 3nm process chip, deployed in three devices—the Xiaomi 15S Pro smartphone, Pad 7 Ultra, and 7S Pro tablet—and has now shipped more than a million units since its launch. That volume puts Xiaomi in an elite group with the design and mass-production capability for advanced mobile processors.

Lei Jun confirmed the figure at an investor day event, emphasizing that the chip was developed entirely in-house. Historically, Xiaomi relied on Qualcomm and MediaTek for smartphone silicon. Moving to a custom design gives the company tighter control over performance, power consumption, and feature integration, much like Apple's A-series chips have done for iPhones. The Xuanjie O1 represents a serious step toward vertical integration for a firm that sold over 200 million smartphones in recent years.

The achievement required overcoming significant technical barriers, including taping out a 3nm chip and securing foundry capacity—resources typically reserved for the biggest semiconductor players. While Xiaomi hasn’t disclosed the foundry partner, the chip’s sheer volume signals confidence in stable yields.

Xiaomi’s Expanding Chip Roadmap

The Xuanjie chip family will extend to Xiaomi’s electric vehicles and a broad range of smart devices, Lei Jun confirmed, with annual iterations planned. This moves the custom silicon out of mobile and into higher-compute, safety-critical applications—a trajectory that naturally intersects with robotics.

Lei said the company will apply the Xuanjie series to its EV lineup, which already includes the SU7 sedan, and that future versions of the chip will power other smart devices. Annual upgrades suggest Xiaomi is treating the Xuanjie not as a one-off experiment but as a foundational platform. In automotive contexts, a custom chip can handle sensor fusion, advanced driver-assistance systems (ADAS), and in-cabin AI processing more efficiently than a general-purpose automotive chip.

This pattern mirrors what Tesla did with its Full Self-Driving chip: designing a processor exactly for the workloads it needs, which reduces latency and power draw. For Xiaomi, the same logic could apply to its CyberOne humanoid robot, where perception, motion planning, and real-time control demand low-latency edge computing.

Implications for Robotics and Automation

While the current Xuanjie O1 is smartphone-focused, Xiaomi’s growing expertise in custom 3nm design has direct implications for its humanoid robot efforts. A vertically integrated chip tailored for perception, control, and real-time decision-making could give the CyberOne a distinct advantage over competitors relying on off-the-shelf processors.

The CyberOne, unveiled in 2022, initially relied on third-party compute. If Xiaomi develops a robotics-specific variant of the Xuanjie architecture, it could optimize for the simultaneous localization and mapping (SLAM), computer vision, and whole-body control that humanoids require. Custom silicon would also likely improve power efficiency—a critical factor for untethered robots that must run for hours without recharging.

Comparing Xiaomi’s trajectory with other custom SoC initiatives makes the robotics potential clearer:

CompanyChipProcessCustom Design
XiaomiXuanjie O13nmYes
AppleA18 Pro3nmYes
GoogleTensor G53nmYes
SamsungExynos 24003nmYes

For automation more broadly, the move to in-house chips reduces reliance on semiconductor suppliers and lets a manufacturer align hardware directly with its software stack. This is the playbook NVIDIA is pursuing with its Jetson line, but Xiaomi’s approach could bring consumer-electronics scale and cost discipline to robotic compute, potentially lowering the bill of materials for future humanoids.

What This Means for Automation Buyers

Buyers evaluating humanoid robots or cobots for industrial use should note that chip independence can lead to more capable, lower-cost platforms over time. Xiaomi’s track record of aggressive pricing in consumer electronics may extend to robots if it achieves scale with in-house silicon.

While the CyberOne is not yet commercially available, the chip milestone signals serious investment in the underlying compute stack. Businesses deploying automation today can already browse humanoid robots on Robot Overflow to compare available platforms and track how players like Xiaomi may reshape the competitive landscape. A custom chip that slashes processing costs by 20–30% on a robot would meaningfully change total cost of ownership for warehouse or factory applications.

Boston Dynamics names former Amazon AI executive Rohit Prasad CEO

Boston Dynamics has named former Amazon executive Rohit Prasad as CEO, effective tomorrow, nearly nine months after former CEO Robert Playter stepped down, first reported by Therobotreport. Prasad will replace interim CEO Amanda McMaster, as Boston Dynamics says his appointment will accelerate its physical AI strategy of combining robotics and advanced AI to commercialize intelligent machines at scale.

McMaster took over after Playter left in February. Prasad is the company’s third CEO; founder Marc Raibert led it from its creation in 1992 until 2020.

Before joining Boston Dynamics, Prasad was Amazon’s senior vice president and head scientist for Alexa and artificial general intelligence. During 12 years at Amazon, he helped build Alexa from its earliest days and later led development of the Amazon Nova foundation model family used by enterprises. Before Amazon, he spent nearly 14 years at Raytheon BBN Technologies, leading machine-learning research and its real-world application for U.S. government and commercial use.

Prasad said he plans to productize intelligent robotic systems to improve safety, productivity and operational efficiency across industrial and commercial environments. His background spans consumer AI and enterprise foundation models, while Boston Dynamics says its strategy combines advanced AI with robotics to commercialize intelligent machines.

Jaehoon Chang, Hyundai vice chair and chair of Boston Dynamics’ board, said the company’s robotics, Prasad’s AI product experience, and Hyundai Motor Group’s manufacturing, logistics and mobility capabilities provide a foundation to build and scale physical AI. Hyundai acquired a controlling stake in Boston Dynamics from SoftBank Group in 2021.

Subject to the relevant approval process, Prasad is also expected to join the company’s board.