Cango's HPC and AI Inference Subsidiary, EcoHash, Begins Commercial Operations

Rhea-AI Summary

Cango (NYSE: CANG) announced that its HPC and AI inference subsidiary, EcoHash, has begun commercial operations and launched an official portal at www.ecohash.com. EcoHash will offer plug-and-play compute modules and the EcoLink Orchestration Platform to unify geographically dispersed capacity for low-latency AI inference.

Key operational detail: Cango is dedicating space at its owned 50MW Georgia mining facility as a living showroom to demonstrate performance and invite partners to join a globally distributed AI compute network.

AI-generated analysis. How Rhea-AI works. Not financial advice.

Positive

• Commercial launch of EcoHash digital portal and operations
• Dedicated 50MW Georgia facility space as a living showroom
• EcoLink Orchestration Platform for unified, low-latency AI inference
• Plug-and-play compute modules enabling elastic, on-demand capacity

Negative

• None.

News Market Reaction – CANG

+5.95%

3 alerts

+5.95% News Effect

+18.8% Peak Tracked

+$10M Valuation Impact

$177.81M Market Cap

0.0x Rel. Volume

On the day this news was published, CANG gained 5.95%, reflecting a notable positive market reaction. Argus tracked a peak move of +18.8% during that session. Our momentum scanner triggered 3 alerts that day, indicating moderate trading interest and price volatility. This price movement added approximately $10M to the company's valuation, bringing the market cap to $177.81M at that time.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock moved +6.0% in the session following this news. A strong positive reaction aligns with Can...

Analysis

The stock moved +6.0% in the session following this news. A strong positive reaction aligns with Cango’s pattern of constructive responses to AI-related news, where prior AI-tagged events averaged moves of about 3.42%. EcoHash’s commercialization marked a tangible step from financing and strategy into operations, which could have reinforced confidence in the pivot away from legacy activities. Investors would still need to weigh listing-compliance risks and capital-raising capacity under the existing US$500,000,000 shelf when assessing durability of any sharp gains.

Key Figures

Forecast data center demand: 700 TWh Available power supply: 300 TWh Power demand gap: 400 TWh +1 more

4 metrics

Forecast data center demand 700 TWh Goldman Sachs Research projection for U.S. data center power demand by 2030

Available power supply 300 TWh Goldman Sachs estimate of maximum available U.S. data center power supply

Power demand gap 400 TWh Structural gap between forecast demand and supply for U.S. data centers

Georgia facility capacity 50MW Owned Georgia mining facility where EcoHash container models will be showcased

Previous AI Reports

2 past events · Latest: Apr 01 (Positive)

Same Type Pattern 2 events

Date	Event	Sentiment	24h Move	Catalyst
Apr 01	AI financing deals	Positive	+4.6%	Strategic investment and convertible note to fund AI and energy expansion.
Dec 24	Analyst rating AI	Positive	+2.2%	Buy rating citing asset-light mining and AI/HPC potential with key assets.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-related announcements have previously coincided with modest positive price reactions.

Recent Company History

Over recent months, Cango has executed a substantial strategic pivot. The March 16, 2026 results showed heavy 2025 losses despite sizeable bitcoin-mining revenue, underscoring the need for a new growth engine. Subsequent updates highlighted operational optimization and a leaner mining model as of March 31, 2026. AI-focused expansion via EcoHash was funded by a US$65.0 million strategic investment and a US$10.0 million convertible note on April 1, 2026, while the NYSE minimum-price notice on March 10, 2026 framed listing risk around the turnaround.

Key Terms

high-performance computing, ai inference, data center, orchestration platform, +3 more

7 terms

high-performance computing technical

"this platform serves as the primary interface for EcoHash's high-performance computing (HPC)"

A cluster of very powerful computers, special chips and fast networks designed to tackle huge, complex calculations far faster than a normal PC — like replacing a single delivery van with a synchronized fleet to move a city’s worth of packages. For investors, high-performance computing matters because it enables faster product development, more accurate simulations and data analysis, and new revenue streams for hardware, software and services, making firms that supply or use it potentially more competitive and scalable.

ai inference technical

"interface for EcoHash's high-performance computing (HPC) and AI inference operations"

AI inference is the step where a trained artificial intelligence model uses its learned patterns to analyze new data and produce an output — for example, predicting a stock trend, flagging a medical image, or generating text, much like using a recipe to cook a meal. It matters to investors because inference determines real-world performance, speed, and cost of AI features, affects user experience and scalability, and influences operating expenses, regulatory compliance, and competitive advantage.

data center technical

"Goldman Sachs Research forecasts that U.S. data center power demand could reach 700 TWh"

A data center is a secure facility that houses large numbers of computers, storage devices and networking gear that run, store and move digital information for businesses and online services. Investors treat data centers like modern warehouses: their occupancy, energy efficiency, connectivity and long-term service contracts drive steady revenue and capital needs, so changes in demand or costs can directly affect profitability and growth prospects.

orchestration platform technical

"paired with its proprietary EcoLink Orchestration Platform. This integrated system unifies"

An orchestration platform is software that coordinates and automates how different applications, servers, or services work together, like a conductor directing musicians so each part starts and stops at the right time. For investors, it matters because it can cut labor and error costs, speed product updates, and let a business scale reliably—factors that directly affect profitability, operational risk, and growth potential.

llm inference technical

"connects decentralized energy assets directly to the demands of LLM inference, generative AI"

llm inference is the process of asking a large language model a question or giving it new text and getting its generated response or prediction in real time. Think of it as consulting an already-trained expert who reads your prompt and produces an answer; this stage determines how fast, accurate, and costly the model’s output is. Investors care because inference affects product performance, user experience, cloud and hardware costs, and regulatory or security risks tied to how models are deployed and scaled.

generative ai technical

"directly to the demands of LLM inference, generative AI, and a growing spectrum"

Generative AI is a type of computer technology that can create new content, like text, images, or music, on its own. It’s important because it can produce realistic and useful material quickly, which could change how we create art, write stories, or even develop new products. Think of it as a smart robot that can invent and produce things almost like a human.

bitcoin miner financial

"Cango Inc. (NYSE: CANG) ... a leading Bitcoin miner leveraging its global operations"

A bitcoin miner is a person or company that runs specialized computers to verify Bitcoin transactions and add them to the public ledger, earning newly created bitcoins and transaction fees as payment. Think of it like a stamp office that processes and certifies mail: miners use electricity and hardware to compete to complete the job, so their costs, efficiency and access to cheap power affect profitability and signal supply dynamics, regulatory risk and capital needs that matter to investors.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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DALLAS, April 13, 2026 /PRNewswire/ -- Cango Inc. (NYSE: CANG) ("Cango" or the "Company"), a leading Bitcoin miner leveraging its global operations to develop an integrated energy and AI compute platform, today announced the launch of the official digital portal for its subsidiary, EcoHash Technology LLC ('EcoHash' or the 'Subsidiary'). Accessible at www.ecohash.com, this platform serves as the primary interface for EcoHash's high-performance computing (HPC) and AI inference operations. The site is designed to streamline strategic engagement with two key audiences: AI developers seeking low-latency, near-source compute, and energy-intensive compute operators pursuing modular pathways to infrastructure diversification.

Goldman Sachs Research forecasts that U.S. data center power demand could reach 700 TWh by 2030, largely driven by AI inference workloads, yet the maximum available supply remains just above 300 TWh, underscoring a structural gap of roughly 400TWH between soaring compute demand and delayed infrastructure deployment. EcoHash addresses these challenges by leveraging Cango's global energy footprint to deploy standardized, plug-and-play compute modules, paired with its proprietary EcoLink Orchestration Platform. This integrated system unifies and schedules geographically dispersed compute capacity to deliver enterprise-grade uptime through intelligent failover. The result: elastic, low-latency compute that scales seamlessly and activates on demand.

Cango is dedicating space at its owned 50MW Georgia mining facility to this initiative. By utilizing the facility's existing infrastructure and energy access, the site will operate full-series container models as a "living showroom". This facility is designed not only to demonstrate real-world performance across varying thermal and power configurations but also to serve as a strategic proof-of-concept hub for industry collaborators across the digital infrastructure and mining ecosystem. By showcasing the commercial viability of these plug-and-play modules, Cango aims to invite global partners to integrate into the EcoHash network. This collaborative approach aims to build a robust, globally distributed AI power grid, replicating the Georgia model across high-potential sites both within and beyond Cango's current network.

Jack Jin, Chief Technology Officer of EcoHash, commented, "EcoHash represents the core vehicle of our strategy to architect a future-ready platform and serve as our next growth engine, now entering a phase of accelerated commercialization. Our proprietary orchestration layer, the central nervous system of our network, is built to enable intelligent, real-time resource allocation. This connects decentralized energy assets directly to the demands of LLM inference, generative AI, and a growing spectrum of compute-intensive applications as our node infrastructure scales."

Contact: ir@cangoonline.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/cangos-hpc-and-ai-inference-subsidiary-ecohash-begins-commercial-operations-302740252.html

SOURCE Cango Inc.

FAQ

What did Cango (CANG) announce about EcoHash on April 13, 2026?

Cango announced EcoHash has begun commercial operations and launched its portal at www.ecohash.com. According to the company, EcoHash will provide plug-and-play HPC and AI inference modules coordinated by its EcoLink orchestration platform to enable low-latency compute.

How is Cango using its Georgia site for EcoHash operations (CANG)?

Cango is dedicating space at its owned 50MW Georgia mining facility as a living showroom. According to the company, the site will run full-series container models to demonstrate thermal and power configurations and invite industry collaborators.

What is the role of the EcoLink Orchestration Platform for EcoHash (CANG)?

EcoLink unifies and schedules geographically dispersed compute capacity to deliver enterprise-grade uptime and intelligent failover. According to the company, it enables elastic, low-latency inference by allocating resources in real time across the EcoHash network.

Who are the target customers for EcoHash services from Cango (CANG)?

EcoHash targets AI developers needing low-latency, near-source compute and energy-intensive compute operators seeking modular infrastructure diversification. According to the company, the offering focuses on scalable, on-demand inference workloads and collaboration across partners.

Does EcoHash address the projected AI compute power gap cited by Cango (CANG)?

EcoHash aims to help bridge the compute supply gap by deploying modular, plug-and-play infrastructure tied to Cango's energy footprint. According to the company, this approach targets structural shortfalls between demand and available U.S. data center power.

Where can investors and partners access EcoHash information for Cango (CANG)?

Information is available at the EcoHash digital portal, www.ecohash.com, which serves as the primary interface for engagement. According to the company, the site facilitates connections for developers and infrastructure partners seeking EcoHash services.