At CES 2025, Zeekr announced a groundbreaking partnership bringing together two major players in the autonomous driving sector. The Chinese electric vehicle maker is set to utilize Nvidia’s next-generation Superchip in its vehicles, while also agreeing to supply self-driving taxis to Waymo. This move showcases Zeekr’s ambition to expand its reach beyond manufacturing electric cars into the realm of autonomous mobility services. By merging Nvidia’s advanced computing capabilities and Waymo’s proven driverless technology, Zeekr aims to create smarter, faster vehicles, paving the way for the future of transportation.
Zeekr, a subsidiary of Geely, has made a name for itself with stylish, premium electric vehicles designed for younger drivers. At CES 2025, the company outlined its expanded vision, transitioning from selling electric sedans and crossovers to becoming a technology partner in autonomous services. The decision to integrate Nvidia’s Superchip reflects its focus on processing power, reliability, and scalability.
The Nvidia Superchip brings superior computational ability, specifically engineered for autonomous driving tasks like sensor fusion, object detection, and real-time decision-making. This enables Zeekr’s vehicles to efficiently process the vast data generated by cameras, radar, and lidar. For drivers and passengers, this translates into smoother and safer operation, whether they are in control or relying on the vehicle’s autonomous capabilities.
Partnering with Waymo adds a significant layer to Zeekr’s strategy. Waymo operates one of the most advanced self-driving systems in commercial use. By supplying vehicles to Waymo’s expanding robotaxi fleet, Zeekr can extend its reach into North America and other regions without the necessity of establishing its own autonomous taxi service. This arrangement also benefits Waymo, providing a steady supply of electric vehicles designed for autonomy, enabling quicker expansion of their service areas.
Nvidia’s Superchip is a benchmark for high-performance computing in autonomous vehicles. Capable of handling hundreds of trillions of operations per second, it is designed for today’s driving scenarios and the demands of full Level 4 and Level 5 autonomy. Zeekr’s adoption of this chip places it among the most advanced players in the field.
The Superchip utilizes GPUs and specialized AI cores to deliver rapid, low-latency responses in complex environments, crucial in urban settings where self-driving cars face unpredictable elements like pedestrians and cyclists. Additionally, its energy-efficient design aligns perfectly with Zeekr’s electric vehicle ethos, balancing processing power and power consumption to maintain good range while running advanced autonomy software.
Waymo’s robotaxi service operates in select U.S. cities with a growing fleet of autonomous vehicles. Scaling this service to more cities and countries requires a consistent supply of purpose-built vehicles. Zeekr fulfills this role with electric vehicles engineered for the rigors of robotaxi use, featuring durable interiors, easy-to-clean surfaces, and advanced human-machine interfaces to enhance the rider experience.
This partnership allows Waymo to concentrate on refining its driver software while relying on Zeekr for the physical vehicles. Zeekr, in turn, gains exposure in a high-profile market and experience with one of the most sophisticated autonomous driving systems. This collaboration could redefine how automakers and autonomous service providers partner, each focusing on their strengths.
The announcement at CES 2025 underscores the shift from pilot programs to widespread adoption of autonomous mobility. Companies are navigating the intricacies of scaling, and partnerships like those between Zeekr, Nvidia, and Waymo are pivotal.
Combining Zeekr’s manufacturing expertise, Nvidia’s computing power, and Waymo’s autonomy technology advances the deployment of robotaxis in urban centers. Riders benefit from more reliable and accessible driverless services, potentially reducing city congestion as these vehicles are deployed intelligently.
Nvidia’s Superchip ensures vehicles are not just capable today but ready for future advances in autonomy. Zeekr tests its vehicles under real-world conditions, refining its products with feedback from commercial use. Waymo benefits by scaling quickly, expanding service locations, and improving fleet economics by partnering with an electric vehicle manufacturer attuned to autonomy needs.
Zeekr’s announcement at CES 2025 marks a significant step in its evolution from a budding electric vehicle brand to a key player in autonomous mobility. By integrating Nvidia’s Superchip and partnering with Waymo, Zeekr demonstrates its understanding of the future of transportation: collaboration, advanced computing, and vehicles engineered for autonomy. Waymo expands its fleet capacity, while Nvidia solidifies its role at the core of autonomous vehicle technology. Together, these companies are setting the pace for the development of self-driving taxis and advanced electric vehicles, moving beyond experimental phases into everyday service.
Explore how Nvidia Omniverse Cloud revolutionizes 3D collaboration and powers next-gen Metaverse applications with real-time cloud technology.
Nvidia's AI and robotics have transformed a coffee shop in Georgia with a humanoid robot serving drinks. Discover the implications for robotics and automation.
What happens when two tech giants team up? At Nvidia GTC 2025, IBM and Nvidia announced a partnership to make enterprise AI adoption faster, more scalable, and less chaotic. Here’s how.
Discover the cutting-edge infrastructure unveiled by Nvidia at GTC 2025 for powering AI factories with a million GPUs, featuring new chips, networking, and cooling technology for hyperscale AI training.
Discover how Nexla's integration with Nvidia NIM enhances scalable AI data pipelines and automates model deployment, revolutionizing enterprise AI workflows.
How is Nvidia planning to reshape medical imaging with AI and robotics? GTC 2025 reveals a push into healthcare with bold ideas and deep tech.
Discover how EY and IBM are driving AI innovations with Nvidia, enhancing contract analysis and reasoning capabilities with smarter, leaner models.
What does GM’s latest partnership with Nvidia mean for robotics and automation? Discover how Nvidia AI is helping GM push into self-driving cars and smart factories after GTC 2025.
What makes Nvidia's new AI reasoning models different from previous generations? Explore how these models shift AI agents toward deeper understanding and decision-making.
Discover the groundbreaking collaboration between Nvidia, Alphabet, and Google at GTC 2025, unveiling a powerful vision for Agentic, Physical AI. Explore the future of machines that move, sense, and think.
What happens when Nvidia AI meets autonomous drones? A major leap in precision flight, obstacle detection, and decision-making is underway.
What does OpenAI's new AI action plan mean for future regulation? How does Deloitte's Zora AI change agentic systems? Here's what you need to know from Nvidia GTC 2025 and more.
Hyundai creates new brand to focus on the future of software-defined vehicles, transforming how cars adapt, connect, and evolve through intelligent software innovation.
Discover how Deloitte's Zora AI is reshaping enterprise automation and intelligent decision-making at Nvidia GTC 2025.
Discover how Nvidia, Google, and Disney's partnership at GTC aims to revolutionize robot AI infrastructure, enhancing machine learning and movement in real-world scenarios.
What is Nvidia's new AI Factory Platform, and how is it redefining AI reasoning? Here's how GTC 2025 set a new direction for intelligent computing.
Can talking cars become the new normal? A self-driving taxi prototype is testing a conversational AI agent that goes beyond basic commands—here's how it works and why it matters.
Hyundai is investing $21 billion in the U.S. to enhance electric vehicle production, modernize facilities, and drive innovation, creating thousands of skilled jobs and supporting sustainable mobility.
An AI startup hosted a hackathon to test smart city tools in simulated urban conditions, uncovering insights, creative ideas, and practical improvements for more inclusive cities.
Researchers fine-tune billion-parameter AI models to adapt them for specific, real-world tasks. Learn how fine-tuning techniques make these massive systems efficient, reliable, and practical for healthcare, law, and beyond.
How AI is shaping the 2025 Masters Tournament with IBM’s enhanced features and how Meta’s Llama 4 models are redefining open-source innovation.
Discover how next-generation technology is redefining NFL stadiums with AI-powered systems that enhance crowd flow, fan experience, and operational efficiency.
Gartner forecasts task-specific AI will outperform general AI by 2027, driven by its precision and practicality. Discover the reasons behind this shift and its impact on the future of artificial intelligence.
Hugging Face has entered the humanoid robots market following its acquisition of a robotics firm, blending advanced AI with lifelike machines for homes, education, and healthcare.