GigaGrid: Why a gigafactory is not the answer for our AI infrastructure

The European Union is currently funding the build-out of large, centralized AI factories in Germany. Up to five sites are planned, with compute capacity in the low hundreds of megawatts. The idea sounds ambitious. The problem is: it answers the wrong question.

Polarise has developed a different model. We call it ‘GigaGrid’, internally also ‘Polarise SAIGN’ (Smart AI Grid Network). It is an attempt to build AI infrastructure the way it can actually scale — securely and economically.

Why the classic gigafactory model does not work

A single data center for AI workloads at gigawatt scale brings decisive structural problems:

• Land requirements: A site of this size needs vast plots in industrial zones — scarce and expensive in Germany.
• Power demand: Supplying several hundred megawatts at one point is barely feasible on the grid or on the balance sheet. Long lead times for capacity allocation, plus lengthy approvals and procedures, make delivery even harder.
• Offtake risk: The economic utilization of one facility this large depends on a handful of anchor tenants. If one leaves, the business case collapses.
• Waste heat: Using or disposing of several hundred megawatts or more of waste heat in one place is a major technical and infrastructure challenge.
• Vulnerability and centralization: One site is one point of failure: power outage, physical attack, or network issue — a centralized system is inherently more exposed.
• Last but not least: Social acceptance. High-profile gigafactory projects (such as Tesla’s unrelated gigafactory in Brandenburg) can face public pushback over legitimate concerns about resources, landscape impact, species protection, jobs, and more.

The AI GigaGrid model: decentralized, connected, scalable

Polarise GigaGrid™ takes a different path. Instead of one central gigafactory, we are building a network of many smaller AI factories across Germany and Europe. Prospective sites are in the low double-digit megawatt range and are preferably developed on existing brownfield land. There is enough of that — especially in Germany.

What matters is the network: workloads can move between sites based on utilization, energy prices, or availability. The network behaves like a grid — hence the name GigaGrid. No single node is critical to the whole. If one fails, the network carries on.

What this means in practice

The GigaGrid model has three direct advantages over the gigafactory approach:

• Faster scaling: Smaller sites are approved, built, and brought online sooner. Customers can onboard earlier.
• Better risk distribution: No single point of failure in the infrastructure. No single large customer everything depends on.
• Economic viability: Sites at this scale are easier to fill efficiently and to integrate into local energy systems. Planned subsidies can be replaced with straightforward guarantees.

European sovereignty through decentralization

We believe sovereign AI infrastructure in Europe will not come from one mega-site, but from a resilient, distributed network operated by European companies under European law — without the US CLOUD Act. As the originators of this concept, we are already putting it into practice: our sites in Germany and Norway are being connected. They form the foundation of the network and set the standard for sovereign European AI infrastructure: European locations, operated under GDPR and EU regulation, certified to the highest standards, and not accessible to US authorities.

Learn more about AI GigaGrid here.