Google Cloud, Nvidia Collaborate With German Startup for AI Robots

Google Cloud and Nvidia are teaming with Munich-based AI startup Microagi to accelerate the development of AI robots capable of understanding and interacting with their environments.Founded in 2025, Microagi develops hardware-agnostic AI models tailored to specific tasks for robots in commercial and industrial environments. Its platform, Atlas, fine-tunes models using customers’ operational data and Microagi’s proprietary data platform.The startup said its technology is already being used by robotics companies, including Unitree and UBTECH.Under the partnership, Microagi will gain access to Nvidia RTX PRO 6000 Blackwell Server Edition GPUs through Google Cloud’s G4 virtual machines, as well as Nvidia GB300 NVL72 rack-scale systems through A4X Max instances.The infrastructure will support the training and deployment of models that process multimodal data, and Microagi said the partnership will enable it to develop customizable software packages for enterprise robotics.Related:Agibot Expands Embodied AI Portfolio With Four New ProductsFor example, a hospitality or industrial company could deploy robots equipped with AI models trained for specific operational roles rather than relying on a general-purpose system.“Building the next generation of embodied AI requires intensive compute, a comprehensive stack of AI technologies, and deep engineering expertise,” Bercan Kilic, founder of Microagi, said in a release.“Google Cloud stood out as the partner capable of supporting this massive model inference pipeline,” he added. “Together with Nvidia's hardware, it provides the foundation as we scale our business offerings.”Microagi will also use Google Cloud’s AI stack, including its Gemini models and Gemini Enterprise Agent Platform, to process multimodal information and scale its applications to enterprise customers globally.The companies also said their engineering teams are working to optimize Microagi’s model training and inference pipelines to help the startup bring new robotics products to customers more quickly.“Robotics is becoming one of the most demanding frontiers for AI, requiring massive physical-world datasets, accelerated compute and a full-stack platform to turn models into intelligent machines,” said Tobias Halloran, director of EMEAI startups at Nvidia, said in a statement.About the AuthorContributing WriterScarlett Evans is a freelance writer with a focus on emerging technologies and the minerals industry. Previously, she served as assistant editor at IoT World Today, where she specialized in robotics and smart city technologies. Scarlett also has a background in the mining and resources sector, with experience at Mine Australia, Mine Technology and Power Technology. She joined Informa in April 2022 before transitioning to freelance work.