BTC Digital Ltd. Announces Completion of Georgia Computing Infrastructure Construction and Launches Strategic Transformation into AI Computing Infrastructure Platform

BTC Digital (NASDAQ: BTCT) completed construction of a 10MW computing infrastructure project in Georgia and is finalizing power interconnection, targeting energization and operation in H1 2026.

Rhea-AI Summary

BTC Digital (NASDAQ: BTCT) completed construction of a 10MW computing infrastructure project in Georgia and is finalizing power interconnection, targeting energization and operation in H1 2026.

The company is launching a phased AI computing center plan at the site: initial 5MW deployment, a planned 10MW expansion, and up to 25MW total capacity ultimately, subject to customer demand and financing.

Positive

• 10MW Georgia site construction fully completed
• Planned modular AI deployment: initial 5MW then +10MW
• Site potential up to 25MW total computing capacity
• Access to low-cost southeastern U.S. power resources
• Modular liquid-cooling architecture for faster deployment

Negative

• Power interconnection not yet completed; energization pending H1 2026
• Expansion contingent on customer demand and financing
• No disclosed committed financing or GPU procurement agreements

Argus Apr 24 session

+3.10% close to close Open Argus

Details

News Market Reaction – BTCT

On Apr 24, the day this news came out, BTCT closed 3.10% above the previous close.

Data tracked by StockTitan Argus for the Apr 24 session.

Key Figures

Georgia project capacity: 10 MW Initial AI deployment: 5 MW Planned AI expansion: 10 MW +5 more

Georgia project capacity

10 MW

Completed computing infrastructure project in Georgia, U.S.

Initial AI deployment

5 MW

First stage of AI computing center at Georgia site

Planned AI expansion

10 MW

Second stage expansion of AI computing center at Georgia site

Total Georgia capacity

25 MW

Expected total computing capacity upon full completion

Canada facility range

5–10 MW

Natural gas-powered computing facility in Alberta, Canada (historical event)

Current price

$1.29

Pre-news market context

52-week high

$4.79

Pre-news market context

52-week low

$1.07

Pre-news market context

Previous Crypto,AI Reports

2 past events · Latest: Apr 06

Same Type 2 events

1. Apr 06

   Canada gas compute deal

   24h Move

   -2.5%

   Joint development for 5–10 MW natural gas-powered computing in Alberta, Canada.

2. Jan 27

   Fog Computing framework

   24h Move

   +2.0%

   Strategic framework for AI computing infrastructure and liquid-cooled data centers.

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

Key Terms

ai model training, ai inference, high-performance computing (hpc), gpu computing equipment, +4 more

8 terms

ai model training technical

"support a wide range of computing applications, including AI model training, AI inference"

AI model training is the process of teaching a computer program to recognize patterns and make predictions by feeding it large sets of example data and adjusting its internal settings, similar to coaching a student with practice problems until they improve. For investors it matters because trained models power products, automate tasks, reduce costs, and create competitive advantage, but they also require heavy investment, depend on data quality, and can pose regulatory or privacy risks that affect a company’s value.

ai inference technical

"support a wide range of computing applications, including AI model training, AI inference"

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.

high-performance computing (hpc) technical

"including AI model training, AI inference, high-performance computing (HPC), and cloud-based services."

High-performance computing (HPC) involves using powerful computers to process complex data and run large-scale calculations much faster than regular computers. It helps organizations solve challenging problems, such as predicting market trends or analyzing scientific data, enabling quicker decision-making. For investors, HPC can highlight advancements in technology and innovation that may impact various industries and market opportunities.

gpu computing equipment technical

"used to support the construction of AI computing centers, the procurement of GPU computing equipment"

GPU computing equipment is the hardware—graphics processing units and the racks, cooling and networking around them—designed to run many calculations at once, much like a kitchen with dozens of chefs working in parallel instead of one cook. Investors care because these systems power artificial intelligence, cloud services and scientific work that can drive revenue growth, require large upfront spending, affect energy costs and create competitive advantages or bottlenecks for companies that rely on heavy computing.

liquid-cooling data center technical

"plans to adopt a modular liquid-cooling data center architecture, which, combined with its existing site"

A liquid-cooling data center is a facility where chilled liquids, rather than air and fans, carry heat away from computer servers and other equipment to keep them running at safe temperatures. Think of it like replacing a room full of noisy fans with a cooling system more like a car radiator or submerging hot parts in a bath that draws heat away more efficiently. For investors, this matters because liquid cooling can lower energy and operating costs, allow denser and more powerful computing in the same space, improve reliability, and affect capital spending and sustainability profiles—factors that influence profitability and long-term value.

form 6-k regulatory

"filed a Form 6-K furnishing interim financial information for investors."

A Form 6-K is a report that companies listed in certain countries file to provide important updates, such as financial results, corporate changes, or other significant information, to regulators and investors. It functions like an official company update or news release, helping investors stay informed about developments that could affect their investment decisions.

schedule 13g regulatory

"title": "[SCHEDULE 13G] BTC Digital Ltd. SEC Filing""

A Schedule 13G is a formal document that investors file with the government when they acquire a large ownership stake in a company, usually for investment purposes rather than control. It helps keep the public informed about who owns significant parts of a company's shares, which can influence how the company is managed and how investors make decisions. Filing this schedule is important for transparency and understanding the ownership landscape of publicly traded companies.

artificial intelligence technical

"As the global artificial intelligence industry continues to develop rapidly"

Artificial intelligence is the ability of computers and machines to perform tasks that typically require human thinking, such as understanding language, recognizing patterns, or making decisions. For investors, it matters because AI can enhance efficiency, uncover new insights, and enable smarter strategies, potentially impacting the value and performance of companies that develop or utilize this technology.

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

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google

Add on Google Not now

SINGAPORE, April 24, 2026 /PRNewswire/ -- BTC Digital Ltd. ("BTCT" or the "Company") (NASDAQ: BTCT), a Nasdaq-listed digital computing infrastructure company, today announced that construction of its 10 megawatt ("MW") computing infrastructure project in Georgia, United States, has been fully completed. Power interconnection work is currently underway, and the project is expected to be energized and placed into operation in the first half of 2026. Leveraging this project, the Company is also launching its strategic transformation toward an AI computing infrastructure platform and plans to progressively advance its AI computing center development in phases based on customer demand and financing conditions.

The Georgia project is a core component of the Company's North American computing infrastructure strategy. The initial phase, with a capacity of 10MW, has completed all major civil works and infrastructure construction, and is currently undergoing power interconnection, which is expected to be finalized in the first half of 2026. Building on this foundation, the Company is formally launching its AI computing center development plan at the same site. The project will be developed in two stages, with an initial deployment of 5MW followed by a planned expansion of an additional 10MW, subject to customer demand, financing arrangements, and other business conditions. Upon full completion, the Georgia site is expected to support up to 25MW of total computing infrastructure capacity. The AI computing center will utilize a modular deployment architecture, enabling flexible scaling in response to market demand. Once operational, it is expected to support a wide range of computing applications, including AI model training, AI inference, high-performance computing (HPC), and cloud-based services.

BTCT believes it has several differentiated advantages in entering the AI computing sector. The Company has access to low-cost power resources in the southeastern United States with meaningful cost competitiveness, which it believes can support the long-term and sustainable operation of AI computing centers at costs below the average level of the U.S. data center industry. BTCT also plans to adopt a modular liquid-cooling data center architecture, which, combined with its existing site and power resources, is expected to shorten construction timelines and enable rapid deployment of computing capacity. In addition, the Company has previously announced strategic cooperation arrangements relating to modular liquid-cooling data center technology, AI computing infrastructure and natural gas-powered computing infrastructure development, which the Company believes further support its low-cost energy and infrastructure strategy.

As the global artificial intelligence industry continues to develop rapidly, demand for AI computing capacity is expected to grow at a high rate, and low-cost, highly reliable computing infrastructure is increasingly becoming a scarce strategic resource. BTCT is leveraging its existing computing infrastructure assets and low-cost energy advantages to transform from a digital asset computing operator into an AI computing infrastructure platform operator. The core logic of this transformation includes infrastructure-first market entry through its completed Georgia site, long-term competitiveness driven by low-cost power resources, rapid modular expansion based on market demand, and a diversified energy strategy supported by its previously announced cooperation initiatives.

To support the continued expansion of its AI computing business, the Company is currently engaged in active discussions with multiple institutional investors regarding potential strategic financing opportunities. The Company expects that any such financing, if executed, would be used to support the construction of AI computing centers, the procurement of GPU computing equipment, and related infrastructure expansion. BTCT stated that it will disclose material developments in accordance with applicable regulatory requirements if and when such progress is achieved.

Mr. Siguang Peng, Chief Executive Officer of BTC Digital Ltd., commented, "The completion of our 10MW computing infrastructure project in Georgia means that BTCT now has the physical foundation to enter the AI computing market. We have secured power resources with strong cost competitiveness in the southeastern United States and have also advanced relevant technology and energy cooperation initiatives that can support our future AI computing deployment. Leveraging these existing assets, we plan to move forward with the phased construction of our AI computing centers and expand to a larger scale when appropriate. We remain confident in the market potential of our AI computing business and will continue to update the market on material progress."

About BTC Digital Ltd.

BTC Digital Ltd. is a digital computing infrastructure company with operations and strategic initiatives in blockchain infrastructure and AI computing infrastructure. The Company is currently engaged in businesses including cryptocurrency mining, mining farm construction, data center operation, and related business activities, while it is also advancing the development of AI computing infrastructure and related services in North America.

For more information, please visit: https://btct.us/ 

Safe Harbor Statement

This news release contains forward-looking statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and as defined in the U.S. 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", "target", "going forward", "outlook" and similar statements.  Such statements are based upon management's current expectations and current market and operating conditions and relate to events that involve known or unknown risks, uncertainties and other factors, all of which are difficult to predict and many of which are beyond the Company's control, which may cause the Company's actual results, performance or achievements to differ materially from those in the forward-looking statements.  Further information regarding these and other risks, uncertainties or factors is included in the Company's filings with the U.S. Securities and Exchange Commission. The Company does not undertake any obligation to update any forward-looking statement as a result of new information, future events or otherwise, except as required under law.

View original content:https://www.prnewswire.com/news-releases/btc-digital-ltd-announces-completion-of-georgia-computing-infrastructure-construction-and-launches-strategic-transformation-into-ai-computing-infrastructure-platform-302752691.html

SOURCE BTC Digital Ltd.

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

When will BTCT (NASDAQ: BTCT) energize the Georgia 10MW computing project?

BTCT expects the Georgia project to be energized and operational in the first half of 2026. According to the company, power interconnection work is underway and is expected to be finalized in H1 2026 before operation.

What is the planned AI computing capacity at BTCT's Georgia site (BTCT)?

The Georgia site is planned to support up to 25MW of computing capacity upon full completion. According to the company, development will be phased with an initial 5MW deployment and a planned 10MW subsequent expansion.

How will BTCT scale its AI computing center deployments at the Georgia site?

BTCT will use a modular deployment architecture to scale computing capacity based on demand. According to the company, modular liquid-cooling design and site power resources aim to shorten timelines and enable rapid capacity expansion.

What will BTCT use prospective financing for in its AI computing transition?

Any strategic financing would support construction, GPU procurement, and infrastructure expansion for AI centers. According to the company, discussions with institutional investors are ongoing and proceeds would fund capacity build-out and equipment purchases.

What advantages does BTCT cite for entering the AI computing market (BTCT)?

BTCT cites low-cost southeastern U.S. power and modular liquid-cooling technology as competitive advantages. According to the company, these factors support lower operating costs and faster deployment for AI and HPC workloads.