Carbon3.ai Pledges £1 Billion for UK’s First Renewable-Powered AI Data Centre Network

Carbon3.ai Pledges £1 Billion for UK’s First Renewable-Powered AI Data Centre Network

UK Firm Unveils £1 Billion Renewable AI Data Center Network

Carbon3.ai announced a £1 billion plan to create the UK’s first nationwide data center network powered only by domestic renewable energy. The project aims to deliver a sovereign platform for AI compute, supporting up to 100,000 GPUs and a guaranteed 50 MW of renewable baseload. Technology partners include HPE, Vast Data and WWT.

Strategic Pillars: Sovereignty and Sustainability

The proposal frames two priorities: national control of sensitive AI workloads, and a low-carbon supply chain for large-scale compute. Carbon3.ai’s CEO said the goal is a “truly sovereign, sustainable and resilient” infrastructure that keeps data and AI capabilities inside UK jurisdiction while cutting lifecycle emissions from compute estates.

Pioneering a New Data Center Model

Rather than relying solely on green tariffs or offsite renewable certificates, the plan blends new-build sites with repurposed industrial and energy assets to host compute adjacent to generation. An early example is a Derbyshire site using landfill gas paired with renewables to provide a stable on-site power source. The model prioritizes colocated generation, direct grid services and hardware architectures optimized for AI workloads.

Impact on UK Energy and AI Future

By integrating data centers into regional energy plans, the network aims to reduce peak grid strain and improve system flexibility through demand-side coordination. For policymakers and investors, the approach offers tighter data governance, clearer ESG reporting and a pathway for large AI deployments to align with national net-zero objectives. If scaled, the project could serve as a template for other countries seeking to combine digital sovereignty with decarbonisation.

Carbon3.ai plans phased rollout of sites and continued collaboration with industry partners to refine power-design, storage and cooling strategies. The announcement signals growing industry attention to the energy implications of national AI ambitions.