3 E Network Outlines Full-Stack AI Storage Strategy Across Memory, SSDs and All-Flash Servers

3 E Network details plans to link custom storage hardware with its Finland AI data center and future cloud-based service offerings.

Rhea-AI Summary

3 E Network Technology Group (MASK) outlined a “Full-Stack AI Storage Business Layout” spanning enterprise memory, SSDs and all-flash servers. The company aims to integrate its hardware lines into an end-to-end platform for large AI data workloads, building on recent supply-chain expansion and chip-level R&D. Its strategy focuses on high-density memory and storage modules, custom SSDs based on an in-house “AI Storage Controller,” and planned all-flash servers designed to ease storage bottlenecks in GPU clusters. The Finland flagship AI data center will act as both an overseas computing hub and a real-world deployment and feedback environment, supporting moves into IaaS and Storage-as-a-Service to build recurring revenue.

Positive

• Approximately $1.2 million enterprise DDR4 memory sales order highlights existing hardware distribution revenue
• Defined three-layer stack across memory, SSDs and all-flash servers for AI workloads
• Finland flagship AI data center to validate full-stack storage hardware in real deployments
• Plans to expand into IaaS and Storage-as-a-Service to pursue recurring revenue

Negative

• None.

Market Context

MASK had risen 2.34% pre-publication, while its Aug. 12 AI storage-controller architecture announcem...

Analysis

MASK had risen 2.34% pre-publication, while its Aug. 12 AI storage-controller architecture announcement was followed by a 4.29% decline; that earlier record involved the same storage-controller program.

Key Figures

Enterprise memory sales order: approximately $1.2 million

Enterprise memory sales order

approximately $1.2 million

Recently announced DDR4 memory order

Previous AI Reports

1 past event · Latest: Aug 12

Same Type 1 event

1. Aug 12

   AI storage architecture

   24h Move

   -4.3%

   Completed initial AI storage-controller architecture and validated core data-flow algorithms.

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

Key Terms

dram, nand, nvme/pcie interface protocols, infrastructure-as-a-service

4 terms

dram technical

"sourcing core DRAM and NAND chips in a fluctuating market"

A dram is a small, traditional unit used to measure either mass or liquid volume in manufacturing and pharmaceuticals — roughly 1.77 grams for a weight dram or about 3.7 milliliters for a fluid dram, similar to a small teaspoon or a couple of drops. Investors care because dram-based measurements affect drug dosing, packaging sizes, labeling compliance and raw-material usage, which in turn influence production costs, inventory counts and regulatory risk.

nand technical

"sourcing core DRAM and NAND chips in a fluctuating market"

NAND is a type of non-volatile memory used to store data in electronic devices such as phones, SSDs, and tablets; it keeps information even when power is off. Think of it as a digital filing cabinet made of tiny cells where data is written, erased and rewritten. Investors watch NAND because its supply, demand and manufacturing costs drive prices, company revenues and profit margins across the semiconductor and consumer electronics industries.

nvme/pcie interface protocols technical

"optimizing existing NVMe/PCIe interface protocols"

NVMe/PCIe interface protocols are the technical rules and message formats that let modern solid-state storage drives communicate with a computer over the PCI Express (PCIe) bus using the NVMe standard. Think of PCIe as the highway and NVMe as the fast, efficient driving rules that allow data to move with low delay and high throughput. Investors care because these protocols determine storage speed, data-center density, power use, and product competitiveness.

infrastructure-as-a-service technical

"including Infrastructure-as-a-Service and Storage-as-a-Service"

A cloud computing model where businesses rent core computing resources — servers, storage and network capacity — from a provider instead of buying and running hardware themselves. Think of it as renting an apartment’s utilities and space rather than buying the building: companies can scale capacity up or down quickly and pay for use. Investors care because it shifts costs from big, upfront capital spending to recurring revenue models and can drive faster growth, predictable cash flow and operational flexibility.

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

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HONG KONG, Sept. 08, 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, committed to becoming a next-generation artificial intelligence (“AI”) infrastructure solutions provider, today outlined its strategic initiatives regarding its “Full-Stack AI Storage Business Layout.” As multimodal large models become more prevalent, data throughput requirements are increasing. In response, the Company is coordinating its business lines spanning enterprise memory and storage modules, solid-state drives (“SSDs”), and all-flash storage servers, seeking to establish an integrated hardware platform for massive AI data processing scenarios.

This initiative builds on the Company’s efforts over the past few months to expand its hardware supply chain and develop underlying chip technologies. It indicates that 3 E Network is steadily transitioning from individual hardware products toward its goal of becoming a comprehensive AI physical infrastructure provider.

Addressing Storage Bottlenecks Through Supply Chain Integration and Custom R&D

Currently, data center performance bottlenecks are increasingly shifting toward the storage layer, including the widely recognized “Memory Wall” and “I/O Wall” issues. To improve the overall compute utilization rate of clusters, 3 E Network has clarified three primary areas of focus:

1. Enterprise Memory and Storage Module Supply: Leveraging its established global electronic components sourcing network, the Company is expanding its high-density storage module offerings. As demonstrated by the recently announced approximately $1.2 million enterprise DDR4 memory sales order, this fulfillment capability in sourcing core DRAM and NAND chips in a fluctuating market is not only a prerequisite for hardware production but also a critical factor in ensuring the stability of high-concurrency data caching systems.
2. SSD Development Plan Based on Proprietary Controllers: Following the completion of the initial specification for the “AI Storage Controller” by the Chip Business Unit, the Company is advancing subsequent custom SSD research and development. This work focuses on optimizing existing NVMe/PCIe interface protocols, using "short-path" algorithm logic to streamline data transmission steps on the system bus. The primary intent of this solution is to effectively reduce instruction latency and CPU consumption when handling the frequent checkpointing tasks associated with large models.
3. All-Flash Storage Server Planning: At the system level, the planned servers are intended to integrate the aforementioned storage modules and custom SSDs. By design, these devices will feature high-density chassis and dedicated energy efficiency management modules, while reserving compatible interfaces for mainstream software-defined storage ecosystems. This integrated approach is intended for distributed computing environments and is designed to reduce storage-related bottlenecks that may leave advanced GPU resources underutilized.
   

Integration with the Global AI Computing Infrastructure Strategy

The development of storage hardware is not a closed-loop business. In practice, it forms a direct, two-way interaction with the “Global Intelligent Computing Center Network” that 3 E Network is currently deploying. At this stage, the Company is currently advancing the construction of its flagship AI data center in Finland. This project is intended to serve not only as a hub for providing computing capacity to overseas markets but also as a validation environment for deploying the aforementioned full-stack storage hardware in real-world applications.

According to the long-term technical roadmap, these self-planned all-flash servers will be deployed in bulk as standardized modules within the Company's self-operated overseas data centers. This integration of underlying hardware with computing facilities is intended to create operational synergies. It allows the Company to obtain continuous data feedback in real, high-workload AI environments, thereby allowing the Company to refine its storage controllers and hardware-software architecture and better align its R&D activities with actual deployment and market requirements.

More importantly, this synergy is expanding the Company's commercial boundaries. Relying on its green data centers and proprietary storage foundations, 3 E Network intends to explore opportunities beyond hardware sales, including Infrastructure-as-a-Service and Storage-as-a-Service. The Company plans to offer cost-effective cloud storage and computing leasing services to a broad range of enterprise users and AI developers in the future. Through this approach, it hopes to gradually explore and establish a recurring revenue model, seeking to create more sustainable commercial value.

Management Commentary

Dr. Tingjun Yang, Chief Executive Officer of 3 E Network, commented: “The Full-Stack AI Storage Business Layout explained to the market today is our specific solution to the challenges of AI data throughput. By combining a stable component supply chain, custom-controller SSDs, and all-flash servers, the Company is assembling a practical end-to-end infrastructure matrix. This vertical business integration is the material foundation that allows our global data center strategy to be implemented.”

Dr. Yang also mentioned the Company’s financial operating principles: “While advancing these capital-intensive and underlying technology layouts, management consistently maintains clear commercial discipline. The large-scale orders we recently secured in our IT hardware distribution business demonstrate the Company’s revenue-generating capabilities in its existing business. Using steady existing business to support the expansion of cutting-edge technology is a core strategy for navigating industry cycles. We will continue to advance this plan realistically to accumulate long-term value for our shareholders.”

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 a strong 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 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 the Company’s 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 are the three primary focus areas in 3 E Network’s Full-Stack AI Storage Business Layout?

3 E Network highlights three main focus areas: (1) expanding enterprise memory and storage module supply using its global electronic components sourcing network; (2) developing custom SSDs based on its proprietary “AI Storage Controller,” aimed at optimizing NVMe/PCIe interfaces and reducing latency and CPU load; and (3) planning all-flash storage servers that integrate these modules and SSDs, with high-density chassis, energy-efficiency management, and interfaces compatible with mainstream software-defined storage ecosystems.

How will the Finland AI data center support the company’s AI storage strategy?

The flagship AI data center in Finland is intended to serve as both an overseas computing hub and a validation environment for the full-stack storage hardware. The company plans to deploy its self-planned all-flash servers there in bulk as standardized modules. This setup is designed to create operational synergies, provide continuous data feedback under high-workload AI scenarios, and help refine storage controllers and hardware-software architecture based on real deployment conditions.

What new business models does 3 E Network plan to explore based on its AI storage and data center assets?

Leveraging its green data centers and proprietary storage infrastructure, 3 E Network intends to explore commercial models beyond hardware sales, including Infrastructure-as-a-Service and Storage-as-a-Service. The company plans to offer cost-effective cloud storage and computing leasing services to enterprise users and AI developers, with the goal of gradually establishing a recurring revenue model and creating more sustainable commercial value.

How does management describe the balance between investing in AI infrastructure and maintaining financial discipline?

Chief Executive Officer Dr. Tingjun Yang states that while the company advances capital-intensive, underlying technology layouts, management maintains clear commercial discipline. In his view, large-scale orders recently secured in the IT hardware distribution business demonstrate existing revenue-generating capabilities, and using steady existing business to support expansion into cutting-edge technology is described as a core strategy for navigating industry cycles and accumulating long-term shareholder value.