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3 E Network Accelerates Nordic Strategy with Planned Deployment of High-Density AI Computing Infrastructure in Finland

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3 E Network (Nasdaq: MASK) plans to accelerate deployment of high-density AI and HPC computing infrastructure in Finland, building on prior data center cooperation and land lease arrangements. The project targets rack power densities of ~50kW–100kW, modular phased delivery, and use of Finland’s low-carbon, diversified grid (nuclear, hydro, wind) to support continuous high-availability operations while pursuing competitive PUE via liquid cooling and the naturally cool climate. Deployment remains subject to permitting, financing, and customary conditions.

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Positive

  • Planned rack power density of ~50kW–100kW for AI/HPC workloads
  • Leverages Finland’s diversified low-carbon grid (nuclear, hydroelectric, wind)
  • Modular, phased deployment intended to shorten construction timelines
  • Previously secured site access and cooperation arrangements support execution

Negative

  • Deployment is conditional on permitting and financing, not yet finalized
  • No financial metrics, timeline, or capital commitment disclosed to quantify impact

News Market Reaction

-10.59%
8 alerts
-10.59% News Effect
+5.1% Peak Tracked
-12.1% Trough Tracked
-$727K Valuation Impact
$6M Market Cap
0.1x Rel. Volume

On the day this news was published, MASK declined 10.59%, reflecting a significant negative market reaction. Argus tracked a peak move of +5.1% during that session. Argus tracked a trough of -12.1% from its starting point during tracking. Our momentum scanner triggered 8 alerts that day, indicating moderate trading interest and price volatility. This price movement removed approximately $727K from the company's valuation, bringing the market cap to $6M at that time.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Current price: $0.29 52-week high: $4.1924 52-week low: $0.175 +5 more
8 metrics
Current price $0.29 Pre-news trading level vs 52-week high $4.1924 and low $0.175
52-week high $4.1924 Stock trading well below prior 52-week high before this AI update
52-week low $0.175 Shares remained above the 52-week low ahead of this news
Market cap $6,560,244 Indicated equity value before Finland deployment announcement
Rack power density low end 50 kW Lower bound of designed rack power density for AI/HPC workloads in Finland
Rack power density high end 100 kW Upper bound of designed rack power density for AI/HPC workloads in Finland
Volume today 1,515,565 Pre-news trading volume vs 20-day average 16,299,532
Relative volume 0.09 Indicates significantly lighter trading activity prior to this announcement

Market Reality Check

Price: $0.2631 Vol: Volume 1,515,565 vs 20-da...
low vol
$0.2631 Last Close
Volume Volume 1,515,565 vs 20-day average 16,299,532; relative volume at 0.09 shows muted trading ahead of this AI update. low
Technical Price 0.29 is trading below the 200-day MA at 1.52, indicating a pre-news downtrend despite ongoing AI buildout plans.

Peers on Argus

MASK showed a -10.22% move pre‑news while key peers in its group (FTFT, IFBD, BN...
2 Up

MASK showed a -10.22% move pre‑news while key peers in its group (FTFT, IFBD, BNZI, IDAI, SGN) were also negative earlier, yet momentum scanner names like SGN and JTAI appeared up ~4% without news, pointing to stock-specific dynamics rather than a unified sector rotation.

Historical Context

5 past events · Latest: Jan 14 (Positive)
Pattern 5 events
Date Event Sentiment Move Catalyst
Jan 14 AI data center design Positive -18.0% Unveiled next-gen AI data center architecture focused on high-density, modular design.
Jan 12 Finland land lease Positive +7.9% Signed 30-year land lease for Finnish AI data center site of 101,071 sqm.
Jan 09 Convertible note closing Negative -14.3% Completed subsequent closing of US$2.0M convertible promissory note financing.
Dec 19 Initial note offering Negative +0.0% Announced initial closing of US$2.0M convertible promissory note facility.
Dec 15 AI MSA Finland Positive +36.4% Signed MSA with Orka to develop 26MW AI data center in Finland over three years.
Pattern Detected

Recent AI project announcements have produced mixed reactions, with some major Finland AI updates selling off despite positive operational implications, while financing news generally aligns with negative or flat price responses.

Recent Company History

Over the last few months, MASK combined aggressive AI infrastructure plans in Finland with serial convertible financings. On Dec 15 (news 947704), it signed a 26MW AI data center MSA, which coincided with a 36.35% gain. A Dec 19 convertible note closing (news 950349) saw no price change. Subsequent financings on Jan 9 (news 955494) and architecture details on Jan 14 (news 957232) drew -14.27% and -17.96% moves. Today’s Finland buildout update continues that Finland AI narrative while the stock trades far below its 52-week high.

Market Pulse Summary

The stock dropped -10.6% in the session following this news. A negative reaction despite operational...
Analysis

The stock dropped -10.6% in the session following this news. A negative reaction despite operational progress would fit MASK’s pattern where some positive AI updates, such as the architecture reveal that drew -17.96%, coincided with selling pressure. Investors have also recently absorbed multiple convertible note financings, which previously aligned with weak or flat price responses. Against a backdrop of a $0.29 price far below the $4.1924 52-week high, concerns about execution, capital needs, or dilution could outweigh the strategic Finland buildout.

Key Terms

high-density computing, artificial intelligence, high-performance computing, power usage effectiveness ("PUE"), +2 more
6 terms
high-density computing technical
"plans to commence the construction and phased delivery of high-density computing infrastructure"
High-density computing means packing a large amount of processing power, storage, and networking into a small physical footprint or limited energy budget so more work can be done per rack, server, or data center square foot. For investors it matters because it can lower capital and operating costs, enable faster or more scalable services, and change competitive dynamics in cloud, data center, and hardware businesses—like fitting many more apartments into the same building to boost return on space.
artificial intelligence technical
"advancing toward next-generation artificial intelligence (“AI”) infrastructure solutions"
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.
high-performance computing technical
"support AI and high-performance computing (“HPC”) workloads"
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.
power usage effectiveness ("PUE") technical
"designed to target highly competitive power usage effectiveness (“PUE”) levels"
Power Usage Effectiveness (PUE) is a simple ratio that compares the total energy a data center or computing facility consumes to the energy used directly by its computers and servers; a PUE of 1.2 means 20% extra energy is used for cooling, lighting and other support systems. Like miles-per-gallon for a car, a lower PUE means the operation is more energy-efficient, which matters to investors because it affects operating costs, sustainability credentials, capital spending and regulatory or reputational risk.
liquid-cooling technologies technical
"utilizing Finland’s naturally cool climate together with advanced liquid-cooling technologies"
Liquid-cooling technologies use a flowing liquid—often water or a special coolant—to carry heat away from devices like computer chips, data center racks, or electric vehicle batteries, much like a car radiator or sweating cools the body. For investors, they matter because better cooling can boost performance, extend equipment life, cut energy bills and floor space, and enable denser, higher-performing products that can drive revenue and lower operating costs.
rack power densities technical
"architecture is designed to accommodate rack power densities in the range of approximately 50kW to 100kW"
Rack power density measures how much electrical power (usually in kilowatts) is supplied to and used by a single equipment rack in a data center. Investors care because higher densities let operators run more or more powerful servers in the same floor space, like squeezing more appliances into one outlet — boosting potential revenue and utilization but also raising cooling, wiring and upgrade costs that affect profitability and capital needs.

AI-generated analysis. Not financial advice.

HONG KONG, Jan. 20, 2026 (GLOBE NEWSWIRE) -- 3 E Network Technology Group Limited (Nasdaq: MASK) (the “Company” or “3 E Network”), a business-to-business (“B2B”) information technology (“IT”) business solutions provider advancing toward next-generation artificial intelligence (“AI”) infrastructure solutions, today announced the acceleration of its strategic deployment in the Nordic region, Finland. Building upon previously executed data center cooperation agreements and land lease arrangements in Finland, the Company plans to commence the construction and phased delivery of high-density computing infrastructure designed to support AI and high-performance computing (“HPC”) workloads.

The initiative is intended to leverage Finland’s highly reliable and low-carbon power grid, which benefits from a diversified energy mix including nuclear, hydroelectric, and wind generation. By combining this stable energy environment with modular high-density infrastructure solutions, 3 E aims to establish a scalable computing platform designed to support continuous, high-availability AI operations while aligning with global sustainability objectives.

As generative AI adoption continues to expand, data center operators are increasingly required to balance energy efficiency, carbon considerations, and operational reliability. While renewable sources such as wind and solar contribute significantly to decarbonization, their intermittency can present challenges for supporting uninterrupted, full-load HPC workloads without complementary stable baseload power.

Finland’s energy structure provides a favorable foundation for such requirements. Nuclear generation contributes consistent baseload power, hydroelectric resources support system flexibility, and wind energy supplements overall clean energy supply. 3 E’s selection of Finland reflects its assessment that this diversified grid profile is well suited to supporting energy-intensive computing applications on a long-term basis. The Company’s strategic acceleration is supported by previously secured site access and cooperation arrangements, which are expected to facilitate the conversion of existing agreements into deployable computing capacity, subject to permitting, financing, and other customary conditions.

Leveraging these infrastructure arrangements, 3 E plans to deploy its high-density computing solutions with the following design objectives:

  • Support for High-Density Workloads: The Company’s architecture is designed to accommodate rack power densities in the range of approximately 50kW to 100kW, aligning with the requirements of advanced AI and HPC workloads operating on stable grid power.
  • Enhanced Energy Efficiency: By utilizing Finland’s naturally cool climate together with advanced liquid-cooling technologies, the project is designed to target highly competitive power usage effectiveness (“PUE”) levels, although actual results will depend on operating conditions and workload profiles.
  • Modular and Scalable Deployment: Based on existing infrastructure conditions and modular deployment methodologies, the Company expects to shorten construction timelines and enable phased capacity expansion, subject to execution and regulatory factors.

Dr. Tingjun Yang, Chief Executive Officer of 3 E Network, commented: “Reliable computing infrastructure depends on reliable energy. Our previously executed land and data center cooperation agreements form an important foundation for our Nordic strategy. We selected Finland because of its stable, diversified, and low-carbon energy environment. Rather than developing energy assets ourselves, we are focused on integrating advanced computing and cooling technologies with an established, resilient power grid. We believe this approach positions the Finland site as an important node within our broader global computing network.”

As the Finland project progresses, 3 E Network continues to advance its transition toward a green-energy-aligned computing services model. The Company intends to further evaluate opportunities across the Nordic region and explore potential collaborations with local utilities, energy partners, and ecosystem participants. Through these efforts, 3 E aims to support the efficient deployment of AI workloads while maintaining a focus on reliability, scalability, and sustainability.

About 3 E Network Technology Group Limited

3 E Network Technology Group Limited is a business-to-business (“B2B”) information technology (“IT”) business solutions provider, committed to becoming a next-generation artificial intelligence (“AI”) infrastructure solutions provider. It upholds the industry consensus of “AI and energy symbiosis” and has excellent vision in the field of energy investment. The Company’s business comprises two main portfolios: the data center operation services portfolio and the software development portfolio. For more information, please visit the Company’s website at https://3emask.com/.

Forward-Looking Statements

Certain statements in this announcement are forward-looking statements. These forward-looking statements involve known and unknown risks and uncertainties and are based on the Company's current expectations and projections about future events that the Company believes may affect its financial condition, results of operations, business strategy and financial needs. Investors can identify these forward-looking statements by words or phrases such as "approximates," "assesses," "believes," "hopes," "expects," "anticipates," "estimates," "projects," "intends," "plans," "will," "would," "should," "could," "may" or similar expressions. The Company undertakes no obligation to update or revise publicly any forward-looking statements to reflect subsequent occurring events or circumstances, or changes in its expectations, except as may be required by law. Although the Company believes that the expectations expressed in these forward-looking statements are reasonable, it cannot assure you that such expectations will turn out to be correct, and the Company cautions investors that actual results may differ materially from the anticipated results and encourages investors to review other factors that may affect its future results in the Company's registration statement and other filings with the U.S. Securities and Exchange Commission.

For more information, please contact:

3 E Network Technology Group Limited

Investor Relations Department

Email: ird@3emask.com

Website: https://3emask.com/


FAQ

What is 3 E Network (MASK) planning to build in Finland announced on January 20, 2026?

The company plans to construct high-density AI and HPC computing infrastructure in Finland with rack power densities of ~50kW–100kW and modular phased delivery.

How does Finland’s energy mix support 3 E Network’s planned AI data center for MASK?

Finland’s diversified grid—nuclear for baseload, hydro for flexibility, and wind for renewable supply—is cited as supportive of continuous, high-availability, energy-intensive computing.

What energy-efficiency approach did 3 E Network (MASK) describe for the Finland deployment?

The company plans to use Finland’s cool climate and advanced liquid-cooling technologies to target competitive PUE, noting actual results depend on operations and workload profiles.

Are the Finland computing projects by 3 E Network (MASK) finalized and funded?

No; the announcement states deployment is expected to convert existing arrangements into capacity subject to permitting, financing, and customary conditions.

Will 3 E Network (MASK) expand further in the Nordic region after the Finland project?

The company said it intends to evaluate further opportunities across the Nordic region and explore collaborations with utilities, energy partners, and ecosystem participants.
3 E Network Technology Group Limited

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