Robotaxi commercialization in South Korea is entering a new phase, with leading operators accelerating the transition from early technology validation and pilot testing to large-scale commercial deployment. This momentum is underscored by the Seoul Metropolitan Government’s ambitious initiatives to build cleaner, safer, and more efficient urban transit. As South Korea drives forward with this sweeping transition, autonomous transportation is shifting from a technological novelty into a safe, reliable, and every day public utility designed to reduce traffic accidents, optimize city congestion, and lower carbon emissions.
SWM.AI has been advancing autonomous driving technologies in Korea for more than a decade. Building on its early development work with Lenovo to engineer high-performance systems, SWM.AI launched the nation’s largest commercial Robotaxi service in Seoul’s high-density Gangnam district earlier this year. As a key player in South Korea’s autonomous mobility ecosystem, the company has established real-world operational experience and a scalable foundation for further expansion. Building on this growth, SWM.AI is focused on expanding its commercial Robotaxi fleet, targeting up to 3,000 vehicles by the end of 2026 in alignment with the national agenda to advance autonomous driving technology to Level 4 by 2027.
As the company advances its autonomous driving roadmap, its development strategy is increasingly aligned with global AI and simulation ecosystems. This includes NVIDIA’s AI platform, Omniverse-based simulation and data generation tools for extensive safety testing, and next-generation autonomous driving models such as Alpamayo.
The power behind driverless passenger confidence with AD1
To support this next stage of deployment, Lenovo provides the underlying vehicle computing platform required for safe, reliable, and scalable robotaxi operations. Advanced Driver Assistance Systems act as the high-performance digital architecture built directly into the car, functioning like a localized supercomputer that manages everything from steering commands to real-time artificial intelligence. This shifts the partnership from prototype testing into high-volume production, enabling consistent fleet-level performance so that every passenger who steps into a driverless vehicle can do so with absolute peace of mind.
Lenovo’s L4 Autonomous Driving Domain Controller AD1 serves as the core computing platform of the collaboration and is the company’s flagship Level 4 autonomous driving domain controller. Built on the high-performance NVIDIA DRIVE AGX Thor platform, AD1 delivers more than 2,000 TOPS@FP8 of AI computing power, providing the computational foundation required for next-generation autonomous driving systems.
Engineered to process high-volume multi-sensor data in real time within complex and dynamic driving environments, it enables fast and consistent decision-making across varying road conditions, allowing the vehicle to react instantly to sudden pedestrian movements or unexpected road hazards. Its automotive-grade architecture is designed to ensure robust performance, stability, and unwavering reliability under demanding, all-day operating conditions.
Futhermore, AD1 is designed for high-volume production deployment through Lenovo’s global manufacturing capabilities and supply chain infrastructure. This enables consistent hardware quality across large-scale fleets while improving cost efficiency, helping to make the commercial expansion of autonomous mobility both scalable and economically viable for cities and operators.
Enabling L4 autonomous mobility on a global scale
As autonomous mobility programs scale, the technological requirements shift from prototype validation to fleet-level deployment, where performance must remain consistent across large-scale operations.
Lenovo’s L4 Autonomous Driving Domain Controller AD1 is already deployed across multiple commercial programs in South Korea and the United States, through close engineering collaborations with autonomous driving companies including Nuro, WeRide, and SWM.AI. Rather than operating as isolated deployments, these programs reflect a broader, positive shift toward multi-region commercial autonomous mobility operations that are actively redefining public transit.
Across these global deployments, Lenovo’s role is defined by this exact industry transition: enabling computing platforms that can safely move out of development environments and into production fleets operating at scale, ultimately making future cities more accessible and connected for everyone.
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