{"id":26231,"date":"2026-09-08T19:24:34","date_gmt":"2026-09-08T18:24:34","guid":{"rendered":"https:\/\/telecomkh.info\/?p=26231"},"modified":"2026-09-08T19:24:34","modified_gmt":"2026-09-08T18:24:34","slug":"microagi-to-build-future-of-ai-robotics-on-google-cloud","status":"publish","type":"post","link":"https:\/\/telecomkh.info\/?p=26231","title":{"rendered":"Microagi to build future of AI robotics on Google Cloud"},"content":{"rendered":"

Munich-based AI startup to use Google Cloud’s AI infrastructure and NVIDIA Blackwell platform to ingest massive physical datasets and train task-specific ‘embodied AI’ models<\/strong><\/p>\n

Microagi announced 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 collaboration, Microagi will use Google Cloud’s advanced AI stack and the NVIDIA Blackwell platform to scale its model training workloads.
\nMicroagi is one of Europe’s fastest-growing AI startups, with technology that already supports industry leaders including Unitree and UBTECH. The company’s business model is designed to accelerate robotics AI development by training task-specific models for individual robotic platforms. The company operates a unique business model designed to accelerate robotics AI development: including training task-specific models for robotic platforms.
\nThe new partnership announced today will ensure Microagi has access to highly optimized, NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs (G4 VMs) and NVIDIA GB300 NVL72 rack-scale systems (A4X Max instances) to power its model training and inference workloads. This includes Gemini Enterprise Agent Platform and leading AI models to process multimodal information like video, and an overall cloud platform that can scale its applications and technology to large enterprise customers globally. This infrastructure will support Microagi’s efforts to offer customizable software packages for enterprise robotics. For example, hospitality or industrial businesses will be able to procure robots pre-configured with Microagi models tailored for specific operational roles.
\n\u00abBuilding the next generation of embodied AI requires intensive compute, a comprehensive stack of AI technologies, and deep engineering expertise,\u00bb said Bercan Kilic, founder of Microagi. \u00abGoogle 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.\u00bb
\n\u00abGoogle Cloud’s AI stack is designed to power complex, multimodal data pipelines like Microagi’s,\u00bb said Dr. Itxaso Araque, Director, Digital Natives & Startups, EMEA North at Google Cloud. \u00abBy using high-performance infrastructure like the NVIDIA Blackwell platform within Google Cloud, Microagi is building a highly practical path toward deploying useful robotics in everyday commercial environments. We’re proud to underpin much of this rapid advancement.\u00bb
\nThe close collaboration between Google Cloud and NVIDIA is helping Microagi train new AI workloads and optimize its training and inference pipelines. Working closely with both Google Cloud and NVIDIA engineering teams, Microagi can streamline its workflows on Google Cloud’s platform and bring new products to customers more quickly.
\n\u00abRobotics 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,\u00bb said Tobias Halloran, Director of EMEAI Startups at NVIDIA. \u00abBy running on NVIDIA Blackwell powered instances on Google Cloud, Microagi can scale the training and deployment of embodied AI systems for commercial and industrial environments.\u00bb<\/p>\n

Above, Dr. Itxaso Araque, Director, Digital Natives & Startups, EMEA North at Google Cloud \/ image credited to Google Cloud<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Munich-based AI startup to use Google Cloud’s AI infrastructure and NVIDIA Blackwell platform to ingest massive physical datasets and train task-specific ‘embodied AI’ models Microagi announced 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 collaboration, Microagi will use … <\/p>\n

Continue reading \u00abMicroagi to build future of AI robotics on Google Cloud\u00bb<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":26232,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[9,61],"tags":[],"_links":{"self":[{"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/posts\/26231"}],"collection":[{"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/telecomkh.info\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=26231"}],"version-history":[{"count":1,"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/posts\/26231\/revisions"}],"predecessor-version":[{"id":26233,"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/posts\/26231\/revisions\/26233"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/telecomkh.info\/index.php?rest_route=\/wp\/v2\/media\/26232"}],"wp:attachment":[{"href":"https:\/\/telecomkh.info\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=26231"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/telecomkh.info\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=26231"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/telecomkh.info\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=26231"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}