Cango Inc.'s AI Subsidiary, EcoHash, Announces Operational Milestones: Completes Dedicated AI Infrastructure Modification at Georgia Facility and Begins Commercial GPU Compute Services Using First Batch of GPU Servers

EcoHash completes a 3MW-capable AI section at Cango’s Georgia site and starts selling commercial GPU compute from its first GPU batch.

Rhea-AI Summary

Cango (CANG) announced that its AI subsidiary EcoHash has completed dedicated AI infrastructure upgrades at its 50MW Georgia facility and started commercial GPU compute services.

The new AI compute section supports up to 3 megawatts of capacity with room for expansion. EcoHash has deployed modular, high-density containerized data center units, powering on and activating an initial batch of GPU servers. The standardized modules integrate power, precision cooling and fiber networking to support sustained high-density GPU loads and faster, lower-cost rollout across suitable sites.

Commercial GPU compute services have begun using part of the initial GPU batch, with current and prospective customers including GPU cloud platforms, AI-native cloud infrastructure providers, decentralized compute networks and advanced AI research laboratories.

Positive

• 3MW AI capacity built within Cango’s existing 50MW Georgia facility, with expansion potential
• Initial GPU containers deployed and powered on, enabling high-density AI compute
• EcoHash has begun commercial GPU compute services using its first batch of GPU servers
• Modular, containerized design aims to speed AI infrastructure rollout across future sites
• Early commercial interest from GPU cloud platforms and AI-native cloud providers, plus other AI users

Negative

• None.

Market Context

AI-tagged historical news recorded an average 4.26% 24-hour move. That platform baseline places this...

Analysis

AI-tagged historical news recorded an average 4.26% 24-hour move. That platform baseline places this rollout in a mixed historical context; the platform also classified short positioning as low, while commercial adoption remains the key watchpoint.

Key Figures

Georgia facility capacity: 50MW Dedicated AI compute capacity: 3 megawatts

2 metrics

Georgia facility capacity 50MW Cango-owned Georgia facility

Dedicated AI compute capacity 3 megawatts Initial dedicated AI compute section

Previous AI Reports

3 past events · Latest: Apr 13 (Positive)

Same Type Pattern 3 events

Date	Event	Sentiment	24h Move	Catalyst
Apr 13	AI operations launch	Positive	+6.0%	EcoHash began commercial operations and launched its official portal.
Apr 01	AI financing	Positive	+4.6%	Strategic investment and convertible note financing closed for AI and energy expansion.
Dec 24	Analyst initiation	Positive	+2.2%	Analyst initiated coverage citing asset-light mining and AI/HPC potential.

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

Pattern Detected

Cango's three prior AI-tagged announcements all had positive 24-hour reactions, averaging 4.26%.

Key Terms

ai inference, gpu compute, containerized data center

3 terms

ai inference technical

"high-performance computing (HPC) and AI inference subsidiary"

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.

gpu compute technical

"EcoHash has begun providing commercial GPU compute services"

GPU compute is the use of graphics processors—chips built to handle many tasks at once—to run heavy, parallelizable calculations beyond graphics, such as machine learning, scientific simulations, and data processing. Think of a GPU as a team of many cooks working together on parts of a large meal while a CPU is the head chef; for investors, GPU compute signals demand for specialized hardware, influences revenue and margins for chipmakers and cloud providers, and can be a key driver of capital spending and competitive advantage.

containerized data center technical

"The containerized data center solution is designed as a modular building block"

A containerized data center is a self-contained computing unit built inside a standardized, transportable enclosure—often resembling a shipping container—that includes servers, networking, power distribution and cooling systems preinstalled and tested. It matters to investors because it enables faster, more predictable and scalable expansion of computing capacity without building permanent facilities, affecting capital and operating costs, deployment speed and flexibility for companies that need to grow or relocate digital infrastructure.

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

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DALLAS, Sept. 3, 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 that its high-performance computing (HPC) and AI inference subsidiary, EcoHash Technology LLC ("EcoHash"), has completed key operational and commercial milestones for its AI compute business.

Infrastructure Modifications & Container Deployment

EcoHash has completed the infrastructure modifications and retrofits for the dedicated AI compute section within Cango's owned 50MW Georgia facility. The dedicated AI compute section offers infrastructure that supports up to 3 megawatts of capacity, with scope for future expansion. Part of the initial deployment involves the delivery, installation, and testing of high-density compute containers, which have commenced their operational rollout through the power-on and activation of an initial batch of GPU servers.

The containerized data center solution is designed as a modular building block for AI compute, enabling modular deployment and high-density GPU capacity in a compact footprint. By standardizing power, cooling, networking, and operations into a repeatable unit, this solution enables Cango to scale its AI infrastructure faster and more cost-effectively across suitable sites.

The site's modular design is built around a series of standardized, high-density AI compute modules, each engineered to support sustained high-density GPU loads. Power is delivered through an industrial-grade transformer setup, while a precision cooling system supports the site's compute density. Network connectivity is provided through fiber infrastructure designed to support AI compute workloads.

Because these compute modules were deployed alongside Cango's existing mining infrastructure at the same Georgia site, EcoHash was able to minimize new construction and site retrofit work, accelerating the path from module delivery to power-on.

Commercial GPU Compute Services Using First Batch of GPU Servers

On the commercial front, EcoHash has begun providing commercial GPU compute services using part of its initial batch of GPU servers now in operation — with additional GPU deployment ongoing — marking the initial commercial utilization of EcoHash's GPU capacity at the Georgia site. The initial customer and prospective customers include GPU cloud platforms and AI-native cloud infrastructure providers.

The Company is also in discussions with additional prospective clients across other categories of AI compute users, including decentralized compute networks and advanced AI research laboratories.

"Powering on our first batch of GPU servers and beginning commercial GPU compute services marks an important step for EcoHash," said Simon Tang, CFO of Cango Inc. "By utilizing the existing infrastructure and energy access at our Georgia facility, we are demonstrating the commercial application of this plug-and-play container solution. This operational rollout serves as a strategic proof-of-concept hub as we work towards replicating this model in future sites."

About Cango Inc.

Cango Inc. (NYSE: CANG) is a Bitcoin mining company with a vision to establish an integrated, global infrastructure platform capable of powering the future digital economy. The Company's mining operations span across North America, the Middle East, South America, and East Africa.

Since entering the digital asset space in November 2024, Cango has activated pilot projects in both integrated energy solutions and distributed AI computing. In parallel, Cango continues to operate an online international used car export business through AutoCango.com.

For more information, please visit: www.cangoonline.com and follow us on: X and LinkedIn.

About EcoHash Technology LLC

EcoHash Technology LLC was founded in 2025 as the dedicated high-performance computing (HPC) and AI inference arm of Cango Inc. Leveraging Cango's infrastructure experience and selected operating relationships, EcoHash deploys standardized, plug-and-play compute modules to deliver scalable AI inference solutions. Its lightweight orchestration layer is being developed to function as the network's central nervous system, with the goal of dynamically provisioning compute power to meet real-time workload demands. For more information, please visit: https://www.ecohash.com.

Safe Harbor Statement

This announcement contains forward-looking statements. These statements are made under the "safe harbor" provisions of the United States Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will," "expects," "anticipates," "future," "intends," "plans," "believes," "estimates" and similar statements. Cango may also make written or oral forward-looking statements in its periodic reports to the SEC, in its annual report to shareholders, in press releases and other written materials and in oral statements made by its officers, directors or employees to third parties. Statements that are not historical facts, including statements about Cango's beliefs and expectations, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties. A number of factors could cause actual results to differ materially from those contained in any forward-looking statement, including but not limited to the following: Cango's goal and strategies; Cango's expansion plans; Cango's future business development, financial condition and results of operations; Cango's expectations regarding demand for, and market acceptance of, its solutions and services; general economic and business conditions; and assumptions underlying or related to any of the foregoing. Further information regarding these and other risks is included in Cango's filings with the SEC. All information provided in this press release and in the attachments is as of the date of this press release, and Cango does not undertake any obligation to update any forward-looking statement, except as required under applicable law.

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SOURCE Cango Inc.

FAQ

What AI infrastructure milestone did Cango (CANG) announce for its Georgia facility?

Cango announced that EcoHash completed infrastructure modifications and retrofits for a dedicated AI compute section within its 50MW Georgia facility, creating capacity to support up to 3 megawatts of high-density GPU-based AI workloads with potential for future expansion.

How much AI compute capacity did EcoHash build out at Cango’s Georgia site for CANG?

EcoHash created a dedicated AI compute section that supports up to 3 megawatts of capacity within Cango’s 50MW Georgia facility. The company describes this as having scope for future expansion as additional high-density GPU modules are deployed.

Has EcoHash started commercial GPU compute services for Cango (CANG)?

Yes. EcoHash has begun providing commercial GPU compute services using part of its initial batch of GPU servers now in operation at the Georgia site. Additional GPU deployment is ongoing as the company ramps its AI compute capabilities.

What kind of data center design is EcoHash using for its AI compute business under CANG?

EcoHash is using a containerized, modular data center design. Standardized high-density AI compute modules integrate power, precision cooling, networking and operations, enabling compact, repeatable deployment of GPU capacity and faster, more cost-effective scaling across suitable locations.

Who are the initial customers for EcoHash’s GPU compute services linked to Cango (CANG)?

Initial and prospective customers include GPU cloud platforms and AI-native cloud infrastructure providers. The company is also in discussions with decentralized compute networks and advanced AI research laboratories as potential users of its GPU capacity.

How did Cango and EcoHash accelerate deployment of AI infrastructure at the Georgia facility?

EcoHash deployed the AI compute modules alongside Cango’s existing Bitcoin mining infrastructure at the same Georgia site. By reusing existing infrastructure and energy access, the company reduced new construction and retrofit work, shortening the path from module delivery to power-on.

What role will the Georgia AI hub play in EcoHash’s future plans for Cango (CANG)?

Cango’s CFO said the Georgia rollout serves as a strategic proof-of-concept hub for EcoHash’s plug-and-play container solution. The company aims to replicate this modular AI compute model at future sites, leveraging standardized infrastructure for faster expansion.