设备端人工智能解决方案
On-Device AI Solution runs AI models on edge devices for real-time insights without continuous cloud connectivity. AI Engine, AI Stack, and AI Hub support deployment and management across distributed edge sites.
Real-Time Edge Intelligence at Deployment Scale
Real-Time Edge Inference
Run AI models directly on edge devices to enable immediate insights and decisions without relying on continuous cloud connectivity.
Data Localization and Privacy
Keep data processing local at the edge to reduce data exposure risks and support privacy-focused deployment requirements.
Reduced Cloud and Bandwidth Load
Reduce cloud transmission and bandwidth usage by processing data locally, helping control recurring infrastructure costs.
Centralized Model Lifecycle Management
Upload, store, distribute, and manage models through AI Hub to support batch deployment across distributed devices.
Prebuilt Models and Open APIs
Use prebuilt reference models and simple APIs for faster integration, while supporting customer-optimized models by scenario.
Scalable Multi-Device Management
Scale from single-device deployment to multi-site device management with architecture designed for distributed edge operations.
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