EcoHash launches AI inference platform, tests 50MW Georgia site

EcoHash, Cango’s HPC and AI inference unit, launched a public portal April 13 and will operate part of Cango’s 50MW Georgia mining site as a live inference proof-of-concept.

EcoHash, the high-performance computing and AI inference subsidiary of Cango Inc., opened its public commercial portal on April 13, 2026, and will operate a portion of Cango’s 50-megawatt mining site in Georgia as a live proof-of-concept hub for inference workloads. The unit was established in 2025 to convert portions of Cango’s energy and mining infrastructure into distributed AI compute capacity.

The commercial offering targets AI developers needing low-latency, near-source inference capacity and operators seeking modular ways to repurpose existing energy assets instead of building new data centers. Cango CEO Paul Yu has described a “Power Gap” as the mismatch between rising AI compute demand and constrained grid supply. Researchers project U.S. data center power demand could reach about 700 terawatt-hours by 2030 while current supply is slightly above 300 TWh, suggesting a potential shortfall near 400 TWh.

At the Georgia site Cango will run full-series container models in a “living showroom” to test performance across a range of thermal and power configurations. The company intends the installation to serve as a replicable template for other locations in its mining portfolio across North America, the Middle East, South America and East Africa. The site will demonstrate plug-and-play modules designed for integration into existing infrastructure.

The network will be managed by EcoLink, EcoHash’s orchestration platform that pools and schedules distributed compute capacity, provides intelligent failover and enables real-time provisioning so workloads can be routed to available resources. Jack Jin, EcoHash’s chief technology officer, described EcoHash as “the core vehicle of our strategy to architect a future-ready platform” and called EcoLink “the central nervous system of our network.” The platform is built to allocate resources for large language model inference, generative AI and other compute-intensive applications.

Cango completed two financing transactions in April 2026 totaling $75 million: a $65 million equity close from board insiders Xin Jin and Chang-Wei Chiu and a $10 million convertible note from DL Holdings Group Limited. The company also signed a memorandum of understanding with DL Holdings for up to $10 million in additional co-investment. Earlier, Cango reported a $305 million liquidity event from the sale of Bitcoin holdings, which the company said were used to retire debt and reset the balance sheet.

Cango plans to use performance and operational data from the Georgia hub to attract partners and expand the EcoHash network, allowing third-party operators to convert existing energy assets into inference capacity.

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