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Microagi Partners with Google Cloud and Nvidia to Train Europe’s Robots
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Microsoft-backed robotics startup microagi has announced a formal compute partnership with Google Cloud and Nvidia to support its Atlas platform for industrial robotics. The Munich-based company aims to lower robotics training and operating costs while enabling European industrial customers to process physical AI data on European compute capacity. This collaboration addresses the challenge of turning real-world production data into operational robot models.
Atlas is a data and deployment platform that helps industrial companies collect factory data, train robotics models, and deploy them into production environments. According to microagi, the platform now trains and runs models on Nvidia Blackwell infrastructure through Google Cloud, including GB300 NVL72 rack-scale systems, A4X Max instances, RTX PRO 6000 Blackwell GPUs, and G4 virtual machines. It also leverages Google Cloud’s Gemini Enterprise Agent Platform and AI models for processing video and multimodal data.
microagi founder and CEO Bercan Kilic emphasized the critical role of compute in robotics: “Robots learn from data, and data is useless without the compute to train on it.” He noted that the partnership provides scale and engineering depth that the company could not achieve alone, with Nvidia optimizing at the card level and Google Cloud across the entire machine. The collaboration comes just one week after microagi announced what it called the largest seed round in German history.
Robotics training creates uneven demand for computing power, as deployments often begin with months of data collection followed by short bursts of intense compute need. microagi reported that Nvidia engineers work on GPU-level performance, while Google Cloud engineers support the broader cloud stack, including virtual-machine configuration and job orchestration. Since the collaboration began, microagi has roughly doubled the amount of work achieved per unit of energy.
These efficiency gains could make automation more practical for industrial customers, particularly in Europe where manufacturers face pressure to improve productivity. Nvidia’s director of EMEAI startups, Tobias Halloran, stated that running on Nvidia Blackwell-powered instances on Google Cloud allows microagi to scale training and deployment of embodied AI systems for commercial environments. Most of microagi’s training runs on Google Cloud capacity in the Netherlands, with a policy of requesting European compute capacity for European customers.
Google Cloud’s VP EMEA North, Dr. Marianne Janik, highlighted the strategic importance: “We deliberately reserve compute for startups in Europe, because access to compute decides whether Europe’s data can be processed in Europe.” She noted that Physical AI is an area where Europe, and Germany in particular, must maintain competitiveness. The partnership positions microagi to address the growing demand for automated solutions in European manufacturing, with potential to reshape industrial robotics adoption and data sovereignty.
