Announcement • Sep 08

3 E Network Technology Group Limited Outlines Full-Stack AI Storage Business Layout Across Memory, SSDs And All-Flash Servers

3 E Network Technology Group Limited outlined its strategic initiatives regarding its Full-Stack AI Storage Business Layout. As multimodal large models become more prevalent, data throughput requirements are increasing. 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. 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. 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.

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