Regional by design
Capacity can be placed closer to demand, critical infrastructure, industry, research clusters and communities instead of concentrating every workload in a small number of very large sites.
MicroScalers are modular, locally anchored compute nodes that bring AI and digital infrastructure closer to the places that need it — integrating compute, energy, storage, cooling, water, heat and connectivity as one resilient system.
A MicroScaler is a compact, modular compute facility designed as part of the local infrastructure system around it. Multiple nodes can operate as a federated network, creating regional compute capacity that can grow in smaller steps and align with local power, water, heat, land and connectivity conditions.
Capacity can be placed closer to demand, critical infrastructure, industry, research clusters and communities instead of concentrating every workload in a small number of very large sites.
Data location, workload placement, operational control and technology exit paths become explicit design choices. Portability is built into the architecture rather than treated as a future migration problem.
Power, storage, cooling, recovered heat, water and grid services are planned together, enabling the compute node to participate in the wider energy and infrastructure system.
Digital capacity is becoming a third essential infrastructure layer alongside water and power. MicroScalers treats the physical and digital flows as a single design problem, so site selection and operations can optimize resilience, resource use and local benefit together.
Federated regional nodes can support continuity, geographic redundancy and staged capacity growth. The design goal is resilient service across the network, supported by local energy, storage and multiple connectivity paths.
The architecture can combine European data and model governance with practical control over compute, orchestration, location and migration. Current accelerator ecosystems can be supported while preserving planned alternative back-end routes and exit options.
The model is relevant where digital demand intersects with energy constraints, resilience needs, sensitive workloads, available heat sinks, industrial infrastructure or local development objectives.
Local inference, model serving, research computing and sensitive workloads with clear jurisdictional and operational control.
Compute integrated with industrial energy systems, storage, circularity, heat demand, logistics and redevelopment.
Hospitals, utilities, public services and regional systems that benefit from continuity, proximity and resilient local capacity.
Universities, research parks and mixed-use districts combining compute demand with energy flexibility and heat reuse.
Smaller nodes can be explored alongside farms and controlled-environment agriculture where heat, power, land, water and income streams align.
Multiple standardized sites can form a federated infrastructure layer across cities, regions and countries.
Site selection can combine satellite and building data with power, water, connectivity, climate exposure, heat demand, land constraints and ecological indicators. The same data layer can support ongoing measurement of performance and resilience.
Assess buildings, roofs, land, energy, connectivity, water conditions, physical climate risk and potential heat users.
Match compute demand with generation, storage, cooling, water constraints, heat recovery, resilience and local infrastructure.
Connect operational data with energy, carbon, water, resilience, property and ecological indicators to support transparent reporting.
Design around local grid conditions, renewable supply, water stress, cooling requirements and climate resilience.
Create tangible local value through heat, jobs, infrastructure services, education, research and regionally relevant applications.
Use modular hardware and software layers that preserve operational choice and reduce long-term dependency on any single stack.
Track energy, water, carbon, resilience and local outcomes with auditable data and clear performance indicators.
Standardize the parts that should repeat while adapting each site to its physical, regulatory and economic context.
Combine contracted compute demand with infrastructure revenues such as energy flexibility, heat and resilience where viable.
MicroScalers is an emerging infrastructure concept. Current work focuses on reference architectures, research collaboration, site assessment, demonstrators and financing models across European deployment contexts. Research teams, case studies and project updates will be added as the initiative develops.