Sovereign,
Renewable-Powered
GPU
Compute
for
Research
&
HPC
WinDC delivers affordable, high-density, zero-emission GPU clusters designed for scientific research, high-performance computing, defence workloads, and advanced modelling.
High-Performance
Workloads
Need
More
Power
Research and HPC workloads demand reliable, high-density compute — yet access to GPUs is limited, expensive, and unpredictable.

Cloud pricing continues to rise, grid capacity is restricted, and traditional data centres can’t scale fast enough for modern scientific and defence-grade workloads.

The result:
Higher Costs
Slower Progress
Limited Capacity
Tight Sovereignty Constraints
Affordable,
Sovereign
GPU
Clusters
Powered
By
Clean
Energy
WinDC deploys modular, high-density compute units directly at renewable power sites, delivering GPU capacity with zero Scope 2 emissions and predictable access.

By aligning compute with abundant, behind-the-meter renewable energy, research institutions gain faster, cheaper, sovereign and scalable infrastructure — without grid limitations or hyperscaler dependency.
Built
For
Research,
Science
And
High-Performance
Workloads
01
Affordable GPU Access
Run simulations, modelling, genomics and defence workloads at a fraction of cloud cost.
02
Sovereign & Secure Compute
Keep sensitive data and workloads within national borders with full infrastructure control.
03
High-Density Performance
Optimised for HPC workloads with scalable GPU clusters, liquid cooling and 99.5% uptime.
04
Zero-Emission Compute
Meet institutional sustainability goals with workloads powered directly by renewable energy.
Performance
That
Accelerates
Research
WinDC provides predictable, sovereign GPU access with measurable gains in cost, carbon reduction and compute efficiency — enabling researchers to scale innovation responsibly.
Up to 50%
lower GPU-hour cost
High-Density
GPU configurations
Zero Scope 2
Emissions at every site
~90 days
Deployment time

Empower Your Research With Clean, Sovereign Compute

Build high-performance, renewable-powered GPU clusters for scientific, academic and defence-grade workloads.