Greenference
Greenference builds modular, off-grid datacenters called sunverters that generate their own clean power from solar, battery storage, and hydrogen, eliminating the need for grid connection. The company also offers an inference API with strict data protections, including no training on customer data, no prompt storage, and EU-only processing. Each 200 kW full-DC container scales to 1 MW sites and is vertically integrated from electrons to LLM tokens.
- Artificial Intelligence
- Energy
- Clean Technology
- Hardware
- Battery Technology
- Space Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Europe's AI inference demand is growing rapidly, but grid-connection queues now extend 7–10 years, delaying or cancelling new datacenter projects. The real constraint on AI expansion is not chip availability but access to reliable, clean power, forcing companies to wait years for grid capacity before they can deploy compute.
Solution
Greenference builds modular, off-grid datacenters called sunverters that generate their own clean power from solar, battery storage, and hydrogen, eliminating the need for grid connection entirely. Each 200 kW full-DC container scales to 1 MW sites and is vertically integrated from electrons to LLM tokens, meaning Greenference controls the entire energy-to-inference stack. The company also offers an inference API with strict data protections, including no training on customer data, no prompt storage, and EU-only processing. By combining self-generated power with sovereign AI infrastructure, Greenference enables European organizations to deploy compute without waiting for grid upgrades or compromising on data residency.
Target Audience
Primary customers are European enterprises, cloud providers, and AI application developers who need sovereign, grid-independent compute capacity for inference workloads and require strict data residency and privacy guarantees.
Features
- Modular 200 kW full-DC containers that scale to 1 MW off-grid sites
- Vertically integrated infrastructure from solar generation to LLM inference
- 100% off-grid power combining solar, battery storage, and hydrogen
- Inference API with zero data retention: no prompts or completions written to disk
- No training pipeline exists, making it structurally impossible to train on customer data
- EU-only data processing with a Customer Data Bill of Rights backed by binding contractual clauses
- Prefix cache for faster repeated prompts, never written to disk and not scoped to individual users