EcoHash Expertise LLC, the HPC and AI inference subsidiary of Cango Inc. (NYSE: CANG), launched its public digital portal on April 13, 2026, asserting the beginning of economic operations.
It additionally revealed plans to function a portion of its 50 megawatt (MW) mining facility in Georgia as a stay proof-of-concept middle for the AI computing trade.
What’s EcoHash and why is it getting into the market now?
Cango (CANG) based EcoHash in 2025 as a part of its objective to transform the corporate’s international power infrastructure right into a distributed AI computing community. The business launch of EcoHash is aimed toward AI builders looking for low latency, near-source computing energy, and power-intensive computing operators looking for modular avenues for infrastructure diversification. Cango (CANG) believes the latter is underserved by standard knowledge middle suppliers.
This growth comes at a time when Goldman Sachs researchers predict that US knowledge middle power demand might attain 700 TWh by 2030, and this might be pushed primarily by AI inference workloads.
Nonetheless, present out there provide stays simply above 300 TWh, leaving a spot of round 400 TWh at the same time as computing demand steadily will increase.
That is the enterprise logic round which EcoHash is constructed, as famous by Cango CEO Paul Yu, who calls the “energy hole” the disconnect between rising demand for AI computing and restricted community capability.
Based on Jack Jin, Chief Expertise Officer at EcoHash, “EcoHash represents the central car of our technique to design a future-proof platform and function our subsequent progress engine, which now enters an accelerated commercialization section.”
The business launch of the subsidiary comes after a interval of intense capital deployment. In April 2026, Cango (CANG) introduced the completion of two monetary transactions totaling $75 million, a $65 million fairness closing from board members Xin Jin and Chang-Wei Chiu, and a $10 million convertible be aware from Hong Kong-listed DL Holdings Group Restricted (HKEX: 1709).
Cango (CANG) additionally signed a memorandum of understanding with DL Holdings for as much as $10 million in further co-investment.
These transactions adopted an earlier increase of $305 million from the sale of Bitcoin holdings used to repay debt and restore stability sheets.
What does the Georgia facility intention to exhibit?
EcoHash’s launch technique is supported by Cango’s 50 MW Georgia mining facility, the place the corporate is dedicating house to function full-series container fashions as what it describes as a “residing showroom.”
The positioning is designed to exhibit real-world efficiency in varied thermal and energy configurations, serving as a strategic proof-of-concept hub for trade collaborators throughout the mining and digital infrastructure ecosystem.
Cango (CANG) intends for a portion of the Georgia facility to function a replicable template for a globally distributed AI computing community, with ambitions to scale the mannequin at high-potential websites each inside and outdoors of its present mining places spanning North America, the Center East, South America and East Africa.
The business viability of its plug-and-play modules in Georgia will permit the corporate to draw international companions to the EcoHash community, operators that may combine present infrastructure into the platform relatively than constructing new knowledge facilities from scratch.
How does the EcoLink platform come into the image?
The operational spine of EcoHash is the proprietary EcoLink Orchestration Platform, a software program layer that unifies and schedules geographically dispersed computing capability throughout the community.
EcoLink is designed to ship enterprise-grade uptime by means of clever failover, offering computing energy to satisfy the calls for of real-time workloads.
It’s the mechanism that transforms a set of repurposed mining websites into one thing resembling a standard hyperscale providing.
In his remarks, Jin acknowledged that EcoLink is “the central nervous system of our community,” created to allow clever real-time useful resource allocation, connecting decentralized power property on to the calls for of huge language mannequin inference, generative AI, and a rising vary of compute-intensive functions.
The consequence, in accordance with Cango (CANG), is elastic, low-latency computing that scales on demand, with out the capital expenditure and multi-year lead occasions related to constructing new knowledge middle capability.
