Our global AI data centers provide a scalable infrastructure foundation for modern machine learning and AI workloads. Designed for high-density GPU environments, they support demanding training, inference, and AI application workloads with the resilience required for production-scale operations.

Bitdeer AI data centers incorporate advanced power systems and cooling architectures to help deliver consistent GPU performance, energy efficiency, and reliable operations at scale.

Built Across Strategic Regions

Our AI data centers are strategically located across key regions to support scalable, high-performance AI infrastructure. With planned capacity across the U.S., Europe, and Asia, we provide the foundation for reliable GPU operations and future AI growth.

Wenatchee

13MW

by Q4 2026

Tennessee

86MW

by Q4 2026

Clarington

570MW

by Q4 2026

Data Center Solutions

Co-location Services

Maintain full control over your own hardware while operating within a professionally managed, turnkey AI data center environment. This model combines hardware ownership with operational reliability, delivering power, cooling, security, and facility services built for high-density AI workloads.

Build-to-Suit Data Centers

Deliver custom-designed data center facilities aligned with specific workload, power density, and growth requirements. Purpose-built facilities enable greater control over design and capacity planning, supporting sustained AI workloads with infrastructure tailored to your roadmap.

3 Continents,
2 GW Power Capacity,
1 Standard of Excellence

Built on a global 2 GW power pipeline spanning 3 continents, our AI data centers are designed around one consistent standard of excellence, giving organizations a more reliable foundation for large scale AI growth.

Frequently Asked Questions

A build-to-suit approach allows infrastructure to be designed around specific workload requirements, avoiding overprovisioning and inefficiencies. Over time, this can lead to improved cost predictability and optimized total cost of ownership for large-scale AI deployments.