/ Why Europe's robot race just got real.
Mike Alvarez Joined TheTweaks as an emerging tech , startup and launches journalist. He comes up with those things or products which are not there yet and are hardly possible to come close to. He covers the latest technology, startups and new product launches and releases. He worked 4 years in a startup company in Austin and later he joined TheTweaks and he is proving himself here with his commendable writing performance. He is also the publisher of a small consumer robotics newsletter.
One-year-old Munich-based startup has secured compute power that is usually allocated only to US-based Silicon Valley giants. Microagi claims that it is critical to stay relevant in the robotics industry due to the fast growing importance of AI technology for robotics.
Microagi, which was founded in 2025, has secured the Microagi Google Cloud partnership that is aimed to increase the training of “embodied AI” – models designed specially to support robots to perceive, understand and interact in physical spaces such as factory floors and hotel lobbies. This deal gives access to the company to the latest hardware from NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs (Google Cloud’s G4 VMs) and GB300 NVL72 rack-scale systems (A4X Max instances).
As for the description of the announcement, it looks quite standard. But if you dig deeper, there is much more hidden underneath that could make a huge impact on the future relevance of the European market to the robotics industry.
Firstly, it is important to point out that Microagi is not involved in building robots – it builds the intelligence layer above them. Microagi platform, Atlas, takes a customer’s operational data and fine-tunes the AI models to perform effectively in this particular environment. It should be noted that the company presents Atlas as a hardware-agnostic and model-agnostic platform that could be integrated into different robot brands and different foundation models without forcing a customer to work only with one vendor.
This approach has already gained popularity among established robotics hardware companies including Unitree and UBTECH that have been reportedly using the AI models developed with the help of the company’s solutions. And through the Microagi Google Cloud partnership, the company plans to scale the same process much faster – it will develop pre-configured, industry-specific software for robots used in the warehouses, factories and hospitality industry.
And now the angle that is mostly missed when covering this deal – it is not really about robots. This is about compute scarcity, and this is the reason why this deal is more valuable than a typical hardware announcement.
The thing is that unlike language models that have been trained using the huge amount of available text on the Internet, the embodied AI lacks this goldmine. Physical world data on how the robot should interact in the particular situation has to be created from scratch. Therefore, it makes the training of these models extremely compute hungry, and this is the reason why the access to Blackwell-class GPUs is critical for the Microagi’s future progress.
So, in embodied AI, whoever has access to compute power controls the pace of the progress. This is the actual currency of the Microagi Google Cloud deal.
And it is not accidental. The Microagi Google Cloud partnership comes shortly after the company announced that it has raised a $55M seed round, which is reported to be one of the largest seed raises in Germany. It has been led by Hummingbird Ventures with participation from Northzone, LocalGlobe, Village Global and Red Alpine. Reportedly, investors have moved in just several days, and it suggests that the company has already quietly proven itself to the research labs and robotics companies even before starting raising the money.
Fresh investment followed by a major infrastructure deal is a pattern worth observing – it suggests that Microagi is trying to move faster than typical startup runway allows probably because the founders believe that the window before the rivals from the USA and China pull too far ahead is narrowing.
The founders of Microagi are especially frank about the stakes. They argue that if chip access or compute power access would become subject to export restrictions, then the countries without their own domestic infrastructure will be left behind the next wave of AI-driven manufacturing. And this is the reason why Microagi says that it prioritizes running workloads on the European infrastructure where it is possible both due to GDPR and as a protection against the geopolitical changes in the future.
It is an interesting position for the company that uses Google Cloud and American chipmaker to access compute power needed for its operation. The dependency is obvious – and this is the very tension that founders say they try to overcome.
For the manufactures of the robots and robotics platform makers, the main lesson is simple: task-specific fine-tuning has become the differentiation factor, not the raw robot hardware. A general-purpose robot that can be quickly adjusted to the particular factory line is a more sellable product than a generalized humanoid robot that still needs much manual tuning.
For Google Cloud, this deal means the confirmation of its ability to process multimodal physical world data pipelines – this use case goes far beyond the typical chatbots and enterprise search workloads in cloud AI deals.
Microagi Google Cloud partnership is not about the actual announced deal but rather about the signal sent. Robotics AI has become a compute arms race, and Microagi’s bet is that the speed to the infrastructure (not the speed to the robot itself) is going to determine the competition in the following years. The question arising from it is not about whether Microagi succeeds but rather whether Europe manages to develop its own compute capacity before being totally dependent on similar partnerships. Worth monitoring in the next 12-18 months.
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