Microagi Partners with Google Cloud to Advance Robotics AI Development

July 22, 2026
Microagi has announced a collaboration with Google Cloud that uses NVIDIA’s Blackwell platform to accelerate the training of AI models for robotics. The partnership will allow Microagi to scale its infrastructure and deliver customizable robotics software for enterprise use.

Microagi has announced a collaboration with Google Cloud to speed up the development of robotics models that can understand and interact with physical environments, according to a press release. The company will use Google Cloud's AI stack and NVIDIA Blackwell platform to scale training workloads for task-specific models.

Microagi will gain access to NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and GB300 NVL72 rack scale systems to support advanced training and inference tasks. The company will also use Google Cloud’s Gemini Enterprise Agent Platform and multimodal AI tools to process visual and environmental data.

The infrastructure supports Microagi’s plan to offer customizable software for robots used in industries such as hospitality and manufacturing. These robots will be preconfigured with task-specific Microagi models. The collaboration involves engineering support from both Google Cloud and NVIDIA to optimize Microagi’s training pipelines and accelerate its commercial deployments.

Founded in 2025, Microagi’s Atlas platform fine-tunes models for customers’ operations and works across different hardware and model types, serving as a neutral layer for enterprise robotics systems.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Enterprise AI Brief, Robotics Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more