OpenAI's Norway Stargate data centre leverages the country's abundant hydroelectric power for sustainable AI training and inference infrastructure serving European markets.
OpenAI's planned Norway Stargate data centre is part of the company's international expansion of AI training and inference infrastructure beyond the United States. Norway represents a strategically important location for hyperscale AI data centre development, offering some of Europe's most abundant and affordable renewable hydroelectric power, a cool climate enabling efficient data centre cooling, high-quality fibre connectivity, and a stable political and regulatory environment with strong data protection standards. Norway's AI data centre market has attracted growing investment from international operators seeking sustainable, low-cost, high-performance alternatives to central European markets.
The Norway Stargate facility is designed to support the infrastructure requirements of OpenAI's frontier AI models, providing dedicated training and inference capacity within European jurisdiction to meet data sovereignty and GDPR compliance requirements for European enterprise and government customers. Norway's participation in the European Economic Area (EEA) but outside the EU creates a distinctive regulatory environment that has proven attractive to technology companies seeking European operational bases with regulatory certainty.
As part of OpenAI's global Stargate initiative, the Norway facility joins a network of planned international data centres that collectively are designed to reduce dependence on US-based compute, support domestic AI capability building in partner countries, and meet the surging demand for frontier AI services globally. OpenAI ended 2025 with approximately 1.9GW of compute capacity, with demand continuing to substantially outpace supply across all its services. The Norway Stargate deployment reflects the critical importance of sustainable, renewable-powered AI infrastructure as the industry confronts the energy intensity of large-scale model training and inference at frontier scale.
