Subsidiary of Cango Engaged in HPC and AI Inference Begins Commercial Operations
Dallas, (ANTARA/PRNewswire) - Cango Inc. (NYSE: CANG) (“Cango” or “the Company”), a leading company mining Bitcoin to develop an integrated platform based on energy and AI computing through global operations, today launched the official digital portal for its subsidiary, EcoHash Technology LLC (EcoHash). Accessible via www.ecohash.com, this platform serves as the primary interface for EcoHash’s high-performance computing (HPC) and AI inference services. The site facilitates strategic interactions with two main segments: AI developers requiring low-latency computing located near data sources, and operators of energy-intensive computing infrastructure seeking modular solutions for infrastructure diversification.
Goldman Sachs research estimates that electricity needs for data centres in the United States could reach 700 TWh by 2030, primarily driven by AI inference workloads. Meanwhile, available supply capacity is projected to be only slightly above 300 TWh, creating a structural gap of around 400 TWh between the surge in computing demand and delays in infrastructure development. To address this challenge, EcoHash leverages Cango’s global energy network by offering standard plug-and-play computing modules, combined with its proprietary EcoLink orchestration platform. This integrated system can unify and manage geographically dispersed computing capacity, while ensuring high reliability through intelligent failover mechanisms. The result is elastic computing with low latency that can be scaled flexibly and on demand.
Cango is also allocating a portion of capacity from its 50 MW mining facility in Georgia to support this initiative. By utilising existing infrastructure and energy access, the facility will serve as a proof-of-concept showcasing a complete containerised computing model. This facility is not only designed to demonstrate real-world performance under various thermal and power conditions but also as a proof-of-concept for industry partners in the digital infrastructure and Bitcoin mining sectors. By demonstrating the commercial viability of these plug-and-play modules, Cango opens opportunities for global collaboration within the EcoHash network. This collaborative approach builds a power network for globally distributed, large-scale AI facilities, replicating the Georgia model at various potential locations, both within Cango’s existing network and beyond.