Munich-based robotics AI startup Microagi is partnering with Google Cloud and NVIDIA to train embodied AI models for ind

Microagi, one of Europe's fastest-growing AI startups, announced today a collaboration with Google Cloud to accelerate the development of models and robotics capable of understanding and interacting with physical environments. As part of the partnership, Microagi will leverage Google Cloud's advanced AI stack alongside the NVIDIA Blackwell platform to scale its model training workloads.

The company, founded in 2025, develops task-specific AI models for robotic platforms and already supports industry leaders including Unitree and UBTECH. Microagi's business model is designed to accelerate robotics AI development by training specialized models for individual robotic platforms and offering customizable software packages for enterprise robotics.

The new partnership ensures Microagi has access to NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs in G4 VMs and NVIDIA GB300 NVL72 rack-scale systems in A4X Max instances to power its model training and inference workloads. This infrastructure includes the Gemini Enterprise Agent Platform and AI models capable of processing multimodal information such as video. The cloud platform will enable Microagi to scale its applications and technology to large enterprise customers globally, supporting efforts to offer robots pre-configured with Microagi models tailored for specific operational roles in hospitality or industrial settings.

Bercan Kilic, founder of Microagi, stated: "Building the next generation of embodied AI requires intensive compute, a comprehensive stack of AI technologies, and deep engineering expertise. Google Cloud stood out as the partner capable of supporting this massive model inference pipeline, and together with NVIDIA's hardware, it provides the foundation as we scale our business offerings."

Dr. Itxaso Araque, Director of Digital Natives and Startups at Google Cloud, commented that the partnership demonstrates how high-performance infrastructure enables practical deployment of useful robotics in commercial environments. Tobias Halloran, Director of EMEAI Startups at NVIDIA, noted that robotics represents a demanding frontier requiring massive physical-world datasets, accelerated compute, and a full-stack platform to deploy embodied AI systems.

Microagi's platform, Atlas, is hardware and model-agnostic, designed to fine-tune models on a customer's own operations while preventing vendor lock-in. The company is headquartered in Munich with research operations in Zurich and offices in London and New York.