Neo Clouds – High-Density, Carbon-Neutral GPUs

WinDC delivers renewable-powered, high-density GPU infrastructure that lets AI platforms scale training and inference workloads faster, cheaper, and with full carbon accountability.

AI platforms and emerging “neo clouds” face soaring GPU costs, unpredictable capacity, and heavy carbon footprints tied to hyperscaler regions.
Urban, grid-bound data centres are slow to expand and rely on high-emission electricity, restricting both performance and sustainability.

The result:

Higher Costs

Higher Emissions

Limited Scalability

Unpredictable Access to GPUs

WinDC deploys modular, high-density compute units directly at renewable generation sites, delivering reliable GPU capacity at ~50% of hyperscaler cost.

By colocating compute with clean energy, AI platforms gain carbon-neutral performance, faster scaling, and full sovereignty over their infrastructure — without the limitations of traditional cloud regions.

01

Radically Lower GPU Costs

Reduce GPU-hour pricing by up to 50% with behind-the-meter renewable power and efficient infrastructure.

02

Carbon-Neutral GPU Capacity

Run AI models on 100% renewable energy with real-time, audit-ready carbon verification for every workload.

03

High-Density Performance

Optimised for AI training and inference with advanced cooling, flexible architectures, and 99.5% uptime.

04

Scalable, Sovereign Infrastructure

Expand capacity module-by-module with full control over data, performance, and location — no cloud region limits.

WinDC provides predictable access to GPU capacity with measurable financial and sustainability advantages — enabling AI platforms to scale responsibly and cost-effectively.

Up to 50%

GPU cost reduction vs hyperscaler cloud

99.5%

Uptime for GPU workloads

Zero Scope 2

Emissions at every site

~90 days

Deployment time

Scale Your AI Platform with Clean, High-Density Compute

Discover how renewable-powered GPU capacity can transform your cost structure, availability, and carbon footprint.

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