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:
- 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.
- 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.
- 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/
