BTC Digital Ltd. has signed a multi-year strategic framework cooperation agreement with Fog Computing Inc. under which Fog Computing will deploy its modular liquid-cooled data center technology to deliver GPU-based AI computing power, high-capacity storage and advanced networking to BTC Digital’s facilities in North America and Asia. The agreement anticipates an initial roll-out of four liquid-cooled pods each housing up to 200 Nvidia A100-class GPUs, expandable to 20 pods over three years, providing BTC Digital with an estimated 10 exaFLOPS of AI compute capacity and targeting a 30% reduction in energy usage compared with traditional air-cooled installations.

As part of the partnership, both companies will collaborate on adapting liquid-cooling systems for diverse AI workloads, optimizing PUE (power usage effectiveness) toward a goal sub-1.1 threshold, and developing automated operations and maintenance protocols. BTC Digital aims to leverage these efficiencies to reduce unit computing costs by 25% within 12 months and accelerate training and inference cycles by up to 40%, supporting its broader blockchain validation and smart-contract execution services.

Beyond infrastructure deployment, BTC Digital and Fog Computing will pursue joint market development through co-sponsored industry conferences, technical forums and targeted marketing campaigns across North America and Southeast Asia. Both companies plan to establish regional sales offices in Singapore and Toronto by Q3 2026, aiming to secure up to 15 enterprise customers in the financial services, genomics and autonomous-vehicle sectors by year end, and to position BTC Digital as a leading provider of integrated blockchain and AI computing solutions.

BTC Digital’s CEO, Siguang Peng, emphasized that the agreement represents a critical step in enhancing the company’s competitive edge in next-generation data center infrastructure. He noted that the partnership will strengthen service stability during peak AI workloads, diversify revenue streams beyond cryptocurrency mining and underwrite a projected 50% year-over-year increase in AI-related service revenues by fiscal 2027.