Green AI & Sustainability

Build powerful AI without the environmental cost. 100% renewable energy, seawater cooling, and carbon-negative operations in Gibraltar.

100% Renewable Energy

All Pelagos operations powered by Mediterranean solar farms and offshore wind turbines

0 gCO₂/kWh

Seawater Cooling

Natural Mediterranean cooling reduces freshwater consumption by 95% vs traditional DCs

12M liters saved/year

PUE 1.15 Efficiency

Industry-leading power usage effectiveness through liquid cooling and climate advantages

35% more efficient

Carbon Negative by 2027

Offsetting 110% of operational emissions through Gibraltar's reforestation programs

-5,000 tCO₂e/year

Hardware Lifecycle

GPU resale and recycling program ensures 98% of equipment avoids landfills

98% recycled

Green AI Training

Education on efficient model architectures and carbon-aware training schedules

40% avg reduction

Carbon Footprint Comparison

AI Workload	Traditional DC	Pelagos (Renewable)	Reduction
Train GPT-3 equivalent model	552 tCO₂e	12 tCO₂e	98%
Host 100 GPU servers (annual)	840 tCO₂e	18 tCO₂e	98%
Train ResNet-50 (1000 runs)	2.3 tCO₂e	0.05 tCO₂e	98%
Inference: 1B predictions	4.1 tCO₂e	0.09 tCO₂e	98%

Traditional DC: US grid average (0.385 kgCO₂/kWh). Pelagos: 100% renewable + carbon offsets.

Our Sustainability Programs

Carbon-Aware Scheduling

Our workload scheduler prioritizes training jobs when renewable energy generation is highest (midday solar, evening wind). Customers using flexible scheduling receive 15% discounts while reducing carbon footprint.

Model Efficiency Consulting

Free consultation on model compression, quantization, and efficient architectures. We help customers achieve target accuracy with 30-50% fewer parameters, dramatically reducing training emissions and costs.

Transparent Reporting

Every customer receives monthly carbon impact reports showing kWh consumed, CO₂ equivalent (offset to zero), and comparison to industry averages. Data exportable for ESG and sustainability reporting.

Hardware Lifecycle Program

GPUs nearing end-of-life are resold to educational institutions at 80% discount, donated to research labs, or professionally recycled with certified e-waste partners. Zero equipment goes to landfills.

Collective Environmental Impact

22,000

Tons CO₂ avoided annually

850k

Trees equivalent planted

12M

Liters water saved yearly

Train AI Responsibly

Make your AI projects carbon-neutral by default. Join 180+ organizations building sustainable machine learning in Gibraltar.

Sustainability FAQ

Common questions about green AI and environmental impact

We purchase renewable energy certificates (RECs) and have direct power purchase agreements (PPAs) with solar farms in southern Spain (80 MW) and offshore wind in the Strait of Gibraltar (40 MW). Energy is transmitted via undersea cables. During low generation, we draw from Gibraltar's grid which is 85% renewable, offsetting remainder with certified carbon credits.

Minimal. We draw seawater, pass it through heat exchangers (no contact with IT equipment), and return it 3-5°C warmer after diffusion treatment. Flow rate is 1/20th of a typical desalination plant. Monthly marine biology monitoring shows no impact on local ecosystems. Gibraltar Environmental Agency audits quarterly.

Pelagos produces 98% fewer emissions per GPU-hour than hyperscalers using non-renewable grids. Training a GPT-3 scale model emits 552 tCO₂e on US East Coast data centres vs. 12 tCO₂e at Pelagos (100% renewable). Our liquid cooling also enables 15-20% faster training, further reducing total emissions.

Yes. Our dashboard shows real-time and historical kWh consumption per GPU, converted to CO₂e using live grid carbon intensity data. Export monthly reports for ESG frameworks (GRI, SASB, TCFD). We also provide carbon comparison showing emissions saved vs. industry-average data centres.

We operate a three-tier lifecycle: (1) High-performance GPUs are resold to customers seeking budget options, (2) Mid-tier donated to University of Gibraltar and schools for AI education, (3) End-of-life units professionally recycled by certified partners recovering 95%+ materials (gold, copper, rare earths) for reuse.

Beyond 40% lower pricing, customers benefit from: (1) Carbon tax avoidance (€75/ton in EU), (2) ESG rating improvements attracting investors, (3) Marketing value of carbon-neutral AI, (4) 15% scheduler discount for flexible workloads. Many customers find green AI is both ethical and economical.

Showing 6 of 6 questions