Global generative AI applications are penetrating vertical fields such as industry, healthcare, and finance at an unprecedented speed. Gartner predicts that by 2026, 80% of enterprises will use generative AI, with edge AI deployment exceeding 50%. As the demand for AI applications continues to grow, edge AI will unleash greater productivity for enterprises.
Recently, Wangsu Technology upgraded its next-generation edge AI platform, driven by a “dual engine of edge computing foundation + AI engine”. Through the edge AI gateway, edge model inference, and core product matrix of edge AI applications, it builds a comprehensive capability system of “model access – inference optimization – scenario implementation”, paving the way for enterprises to innovate in AIGC with low cost, high performance, and flexible adaptation.
The edge AI platform is centered around a four-layer capability matrix of “resources – models – services – applications”, creating a globally leading edge AI service:
AI Resource Layer, providing high-performance computing, networking, and storage resources to support the efficient flow of data for AI applications. Built on an edge cloud-native architecture, the Serverless platform offers second-level elastic scaling and a highly available environment for upper-layer services.
AI Model Layer, integrating mainstream models such as Wenxin Yiyan, Tongyi Qianwen, OpenAI, and DeepSeek, provides model inference acceleration and hosting services based on the LLM technology stack and other AI technologies, supporting tasks such as text generation, speech recognition, and image processing.
AI Service Middleware, supports flexible access and management of third-party, open-source, and private models, integrating capabilities such as RAG knowledge base, online search, and MCP services. Developers can customize code through edge functions to assemble business logic, enhancing the efficiency of AI application development.
AI Application Layer, based on the technology of “multi-model collaboration + scenario-based toolchain”, creates an intelligent ecosystem for vertical fields, driving the intelligent transformation of industries such as e-commerce, healthcare, news, entertainment, education, and finance.
Three Major Product Lines Driving AI Application Innovation
01
Edge AI Gateway: Intelligent Scheduling Hub
As the intelligent hub for enterprises to access global large models, the edge AI gateway connects over 100 mainstream models through a single API interface, optimizing multi-model collaboration efficiency with intelligent routing strategies. Its built-in mechanisms for semantic caching, security auditing, and rate limiting further reduce operational costs for enterprises.
Edge AI Gateway Architecture
Taking a provincial broadcasting station as an example, after accessing the edge AI platform, it achieved intelligent scheduling of models from four vendors, automatically generating political interpretations and public commentary based on semantic understanding and user profiles, with content production efficiency increasing by over 80%. Additionally, it integrates intelligent polishing, summarization, and other creative tools, upgrading the entire news production process intelligently.
02
Edge Model Inference: Performance Acceleration Engine
Relying on a global GPU resource pool and Serverless framework, the platform preloads numerous open-source models, allowing enterprises to achieve millisecond-level edge inference with minimal code adaptation. Based on intelligent traffic scheduling algorithms to allocate computing resources, combined with an automatic elastic scaling mechanism, it ensures high service availability while significantly reducing cost inputs.
For example, in the pharmaceutical industry, the edge AI platform, based on the “knowledge hub + intelligent Q&A” dual-engine capability, opens API interfaces, allowing enterprises to access the DeepSeek-V3 model with zero-code transformation. Based on a customized medication plan intelligent matching engine template and medical knowledge base, it generates personalized health guidance, significantly improving customer service response speed and medication guidance accuracy.
Pharmaceutical Model Edge Inference Solution
03
Edge AI Applications: Industry Upgrade Toolbox
The platform opens vertical applications such as AI Q&A robots and AI programming assistants, integrating over ten component libraries including RAG, online search, dynamic file parsing, and MCP services, supporting enterprises in quickly building exclusive AI solutions.
For example, in the massage equipment industry, by connecting multiple large models through the Wangsu edge AI platform, it integrates technologies such as speech recognition and semantic understanding to accurately parse natural language requests (e.g., “shoulder and neck soreness”) into device operation commands.
Terminal Intelligent Control Command Solution
At the same time, it integrates medical knowledge graphs and online search capabilities, pushing real-time professional content such as traditional Chinese medicine acupoint knowledge and exercise recovery suggestions, and generating personalized health plans based on physiological data, upgrading traditional massage chairs into home health stewards.
Currently, the Wangsu edge AI platform has deeply empowered clients in industries such as healthcare, home, media, and the internet. As AI applications penetrate deeper into various industries, edge computing will carry more complex AI workloads. In the future, Wangsu Technology will use cutting-edge AI capabilities as a foundation, integrating edge intelligent computing networks, continuously launching efficient and intelligent integrated solutions, and leading a new paradigm of industrial intelligent transformation.
