Edge AI & Cloud-Edge Collaboration: How Emdoor is Reshaping the Future of Productivity

By Emdoor Information Team | December 3, 2025

The era where Artificial Intelligence (AI) was merely a cloud-based novelty is over. We have entered the phase of ubiquitous intelligence—where AI lives in our hands, on our desks, and inside our factory machinery.

On December 3, 2025, Emdoor Group convened at the Raffles Hotel in Shenzhen Bay for the annual "Emdoor Tech Day." The theme was clear and ambitious: "Gathering Momentum with AI, Generating the Future."

Amidst a gathering of industry giants, developers, and ecosystem partners, Emdoor unveiled a comprehensive transformation. We are no longer just a hardware manufacturer; we are a Scenario Computing System Builder. Focusing on the strategic core of "Edge AI + Cloud-Edge Collaboration," Emdoor demonstrated how we are translating raw computing power into tangible productivity across six major scenarios: Personal, Home, Enterprise, Industrial, Wearable, and Robotics.

This article provides an in-depth look at Emdoor’s 2025 strategy, analyzing how our full-stack technical architecture is set to revolutionize industries from rugged computing to smart homes.

I. The Strategic Pivot: From Hardware to "Scene Intelligence"

For years, the tech industry has debated the balance between Cloud AI (massive processing power) and Edge AI (low latency, privacy). At Tech Day 2025, Emdoor provided the answer: It is not an "either/or" choice; it is a collaborative ecosystem.

The AESOF Framework: A New Digital Foundation

Dr. Wu Junlong of the Emdoor Research Institute kicked off the technical deep dive by introducing the AESOF (AI Edge Server Open Framework).

In the current landscape, the competition has shifted from who has the largest model parameters to who can best apply them to specific scenarios. International giants are pushing cloud models down, but Emdoor is innovating from the bottom up—from the edge device upwards.

The Emdoor "Cloud-Edge Synergy" Philosophy:

• The Edge: Handles high-frequency, real-time, and privacy-sensitive tasks (e.g., a rugged tablet detecting a defect on a factory line).

• The Cloud: Handles complex reasoning and massive model training.

By utilizing AESOF, Emdoor ensures that "The Cloud makes the Edge smarter, and the Edge makes the Cloud more realistic." This value loop transforms every device—from a handheld terminal to a server—into an intelligent node in a vast network.

The Six-Scenario Matrix

Ye Yuanyang, Product Director at Emdoor Research, formally announced the "Emdoor AI Computing Solution Matrix." This is the operational blueprint for 2025 and beyond.

Emdoor has locked in on six critical battlegrounds:

1. Personal: AI PCs and Assistants.

2. Home: Private Cloud and Smart Storage.

3. Enterprise: Workstations and Servers.

4. Industrial: Edge Computing and Machine Vision.

5. Wearable: XR and AI Glasses.

6. Robotics: Embodied Intelligence.

"In the past, products defined the scenario. Today, the scenario defines the product," Ye stated. This shift means Emdoor is now providing a "three-in-one" infrastructure comprising Hardware Computing Power + AESOF Platform + AI Atomic Capabilities.

II. Industrial AI: Rewriting the Rules of Manufacturing

For our partners in the rugged / industrial sector, the presentation by Wang Qian, Deputy General Manager of Emdoor Information, was the highlight of the event.

The AI BOX: The Brain of the Smart Factory

Traditional industrial environments suffer from "Data Islands"—OT (Operational Technology) and IT (Information Technology) are often separated. Decisions are slow, and reliance on human experience is high.

Emdoor Information launched the Industrial AI BOX Solution to bridge this gap.

• Specs: Featuring 126 TOPS of edge computing power and 96GB of video memory.

• Performance: Achieves a millisecond-level closed loop of "Perception-Decision-Execution."

Solving the "Long-Tail" Defect Problem

In industrial machine vision, the biggest challenge isn't detecting common defects; it's spotting the rare, "long-tail" anomalies that standard algorithms miss. Wang Qian demonstrated how the AI BOX utilizes Large Model Industrial Vision:

1. Generalization: The system can "draw inferences about other cases from one instance," identifying rare defects without needing thousands of training images.

2. Dynamic Evolution: The production line "learns" continuously.

3. Rapid Deployment: What used to take weeks of custom coding now takes hours via Emdoor’s end-to-end development platform.

As Wang Qian noted, "Emdoor is not just delivering equipment; we are delivering the next generation of productivity itself."

III. The AI PC Revolution: From "Intern" to "Executive"

In the consumer and office space, AI PCs have often been criticized for being a gimmick. Li Zhenyu, General Manager of Emdoor Digital, addressed this head-on.

The "Xiao Yi" AI Assistant

Emdoor proposes an evolutionary path for AI PCs, graded from L0 to L4. The goal is to move the AI from a passive tool (an intern) to a proactive business supervisor. The new "Xiao Yi AI Assistant" stole the show with its natural language processing capabilities.

• Workflow Automation: Users can issue a complex command like "Adjust system settings, import this video, edit it, generate subtitles, and save it." Xiao Yi executes this cross-application workflow in seconds.

• Hardware Muscle: The flagship AI PC boasts 180 TOPS of on-device compute, packaged in an ultra-light 14-inch (799g) or 16-inch (999g) chassis.

Overcoming the Memory Bottleneck with Phison

A key hurdle for local AI is memory consumption. Cai Zongxun from Phison Electronics, a key strategic partner, showcased the aiDAPTIV+ AI SSD technology.

Using a MOE-Offload (Mixture of Experts) architecture, this technology allows large models to offload parameters to the SSD dynamically.

• Result: A GPT-OSS-20B model's startup memory requirement dropped from 25GB to 15.2GB.

• Impact: This lowers the barrier to entry, allowing massive models to run on standard PC hardware with minimal performance loss.

IV. Enterprise & Home: Computing Power for Everyone

Enterprise: The "Drag-and-Drop" Supercomputer

Wang Yongbing of Emdoor Supercomputing addressed the exploding demand for compute, predicting a 1.1 trillion RMB market by 2025. Emdoor’s answer is a spectrum of AI Servers ranging from 7B to 671B parameters.

• The Innovation: The "Emdoor Supercomputing AI Intelligent Engine." This platform allows business units to build custom AI agents via a drag-and-drop interface, reducing deployment time from weeks to hours.

Home: The Privacy-First AI NAS

In collaboration with Yi You Yun and Hebpo Innovation, Emdoor introduced the AI NAS (Network Attached Storage).

• The Problem: Public clouds are convenient but raise privacy concerns.

• The Solution: A local "AI Memory System." It uses local compute (up to 800 TOPS via AMD processors and full-sized GPUs) to organize photos, generate stories, and manage data without a single byte leaving the house. It redefines the NAS from a "digital warehouse" to an "active digital librarian."

V. Wearables & Robotics: The Next Frontier

AI Glasses: The "Always-On" Assistant

Wang Bin of Emdoor Virtual (EmdoorVR) unveiled a roadmap that positions AI glasses as the ultimate mobile entry point.

• Current Tech: AI Audio and Photo glasses featuring Sony sensors and EIS anti-shake, comparable to industry leaders like Ray-Ban Meta.

• Future Tech (CES 2026): Emdoor will debut Binocular Full-Color and Monocular Full-Color display glasses supporting ring interaction and electrochromic lenses.

• Vision: "One pair of glasses for one billion people."

Robotics: Cleaners That Think

Song Huaichu of Yue Tong Tech (an Emdoor incubated company) launched the A10 Cleaning Robot.

• Concept: "One Machine, Multiple Functions." It’s not just a cleaner; it’s a security guard, a mobile ad display, and a receptionist.

• Embodied AI: Powered by LLMs, the robot understands vague voice commands and autonomously plans tasks, marking a shift from "human adapting to machine" to "machine adapting to human."

VI. Internal Transformation: Walking the Talk

Emdoor isn't just selling AI; we are using it. Li Huaisheng, Sales Director of Emdoor Electronics, shared how the Emdoor Research Institute empowered their own sales team.

By deploying an internal AI Sales Workbench:

• Efficiency: Decision chain efficiency increased by 50%.

• Growth: Effective business opportunities tripled.

• Automation: The system automatically generates customer personas, pain point analyses, and pitch decks using a proprietary Knowledge Graph.

As Li put it: "AI will not replace salespeople, but salespeople who use AI will replace those who don't."

Conclusion: All In on AI

The 2025 Tech Day was more than a product launch; it was a declaration of intent. Emdoor Group has fully transitioned to an "All in AI" stance.

By building a full-stack ecosystem—from the IDEA Research partnership on Federated Learning to the Agentic World ISV platform—Emdoor is democratizing access to intelligence. We are stripping away the complexity of AI deployment, making it accessible for a factory manager in Germany, a creative freelancer in Tokyo, or a family in Shanghai.

Emdoor Information is committed to being the "First Platform for New Technology Application." We invite partners, developers, and clients to join us in this ascent.

Together, let's make the edge smarter.

Key Takeaways for Emdoor Partners

1. Supply Chain Stability: Emdoor's A-share listing and deep manufacturing roots ensure we can deliver these advanced AI hardware solutions at scale.

2. Customization: The AESOF framework allows for rapid customization of AI solutions for specific vertical markets (medical, industrial, logistics).

3. Future-Proofing: Partnering with Emdoor means access to the latest breakthroughs in NPU optimization, local LLMs, and ruggedized edge computing.

For more information on Emdoor's AI solutions or to schedule a demo of the new AI BOX and AI PC series, please contact our global sales team or visit our official website.