Who is NorthArc?
NorthArc is a North East UK based compute infrastructure company focused on delivering affordable, sovereign AI inference using renewable energy. We deploy modular, containerised compute systems directly at wind farm sites, using energy at the source rather than relying on the grid.
Our focus is purely on inference, the part of AI that runs continuously once models are trained. By linking renewable generation with distributed compute, NorthArc creates a flexible network that scales quickly, strengthens with growth, and supports organisations across the UK with clean, reliable AI infrastructure.
AI Inference Compute
We provide reliable, always on inference compute for organisations running AI models in production.
Our focus is purely on inference, supplying the capacity that keeps models operating day to day.
Fully Renewable Energy
All NorthArc compute runs on renewable energy only. By operating directly at wind farm sites, we use clean power at the source rather than drawing from the grid.
This keeps our infrastructure low-carbon by design and avoids the cost and constraints that come with grid-connected compute.
Sovereign by default
All workloads run on UK-based infrastructure. No overseas cloud dependency, no data leaving the country, and a clear option for organisations with sovereignty or compliance requirements.
Why inference?
Inference is where AI delivers real value. Models may be trained once, but inference runs continuously, powering products, services and systems every day. Training builds the model. Inference keeps it running. If training is the car, inference is the fuel.
The UK currently lacks dedicated infrastructure for this stage of AI. Most inference relies on overseas cloud platforms or grid-constrained data centres that are slow to expand and expensive to run. Focusing on inference allows us to build affordable, reliable compute that scales with real-world AI use and stays on home soil.
Built for Speed and Flexibility
Containerised infrastructure allows us to deploy compute quickly, cleanly and where it’s actually needed. Each NorthArc unit is built off-site, fully integrated and then delivered ready to operate. This avoids long construction timelines, complex planning and heavy on-site works.
Being containerised also gives us flexibility. Units can be added, moved or scaled as demand changes, without locking compute into a single location for decades. It means we can respond in months rather than years, follow renewable energy as it expands, and keep infrastructure adaptable rather than fixed.
Partnership Led by Design
NorthArc is built to work alongside wind farms, not disrupt them. By deploying compute directly at renewable sites, we create a new way for wind farms to use energy that would otherwise be curtailed or under-utilised.
Partnerships are flexible by design. Wind farm operators can choose how they engage, from hosting a single unit to scaling across multiple sites as capacity and opportunity grow. Where useful, partners also have the option to access a portion of the compute locally for their own digital or operational needs.
Focused delivery, not platform sprawl
We supply compute only. No cloud platform, no unnecessary layers, no lock-in. This keeps the business streamlined and allows us to focus on reliability, performance and cost.
The NorthArc Compute Network (NCN)
Our distributed network of sites can share workloads and support each other as it grows. This improves resilience, keeps compute local for lower latency, and creates a system that gets stronger with every new deployment.
Our Infrastructure
NorthArc uses modular, containerised compute units built specifically for AI inference. Each unit is assembled off-site and delivered ready to operate, allowing fast deployment with minimal impact on the host site.
Inside each container is high-density compute hardware designed for continuous workloads, supported by efficient cooling and power management systems. Everything is set up to run directly on renewable energy and operate independently of the grid.
By standardising the infrastructure, we can deploy quickly, scale consistently, and adapt or upgrade units as technology evolves. It keeps the system flexible, practical, and built for long-term use.
DGX B300 Class Systems
We use high-density, enterprise-grade GPU systems designed for large-scale AI inference. This class of hardware is built for continuous workloads, high throughput and long-term operation, making it ideal for production AI rather than burst training.
Energy Storage
On-Site Battery Systems (Up to 4MW)
Battery storage supports stability and continuity when renewable output fluctuates. This allows compute to stay online during short interruptions and smooths power delivery without relying on the grid.
Telemetry & Control
Real-Time Monitoring and Optimisation
Each deployment includes telemetry and control systems that monitor power, performance and availability in real time. This allows workloads to be balanced, performance to be optimised and issues to be addressed remotely across the network.
Cooling & Infrastructure
Built for High-Density Operation
Our containerised infrastructure uses efficient cooling systems designed for dense AI workloads. This keeps hardware operating reliably while minimising footprint, noise and on-site impact.