Edge AI Module
Embedded AI System on Module with Deep Learning Compiler Integration
- Edge Computing Solutions
- Quickly Empower Existing Devices with AI Capabilities
- Computing Performance Stacking Technology for Optimal Resource Allocation
- Easy Deployment Across Various Environments and Scenarios
- Automated Support for Deep Learning Applications
- Compatibility with a Wide Range of Devices
Quickly Enable Traditional Hardware with AI Capabilities
Multiple Configuration Support
Embedded modules, USB modules, and standalone solutions.
Rapid Device Upgrade
Transform traditional devices into smart systems with ease.
Cost-Effective Solution
Achieve significant value enhancement for devices with minimal investment.
Dynamic Resource Optimization for Edge Computing
Low Latency and Enhanced Privacy
Ensures real-time responses with local data processing, minimizing cloud transmission risks.
Efficient Computing with Compute Stacking
Dynamically allocates computational resources to reduce energy consumption and operational costs.
Flexible Device Scaling
Supports seamless integration across multiple devices, extending device lifespan.
Easily Generate AI Models for Real-World Applications
Framework Compatibility
Supports popular deep learning frameworks, including TensorFlow and PyTorch.
Multi-Precision Model Support
Compatible with INT8 and FP16 models for diverse AI applications.
Automated Toolchain
Quickly generate AI application models by providing a training dataset, simplifying the development process.
Works Across Multiple Scenarios and Applications:
Delivering Smart Edge AI Solutions
Edge AI Module Core
The Core module is deeply customized for embedded applications, integrating seamlessly from the product design stage. It enhances computing power for industrial equipment and provides edge AI support, enabling industrial automation, equipment monitoring, and predictive maintenance.
Edge AI Module Lite
The Lite module easily integrates with set-top boxes, routers, or small-scale surveillance servers to optimize computing power and upgrade AI capabilities. It supports various applications such as voice assistants and image analysis, making it especially suitable for smart home and smart retail environments.
Edge AI Module Standalone
As a standalone AI computing module, Standalone functions as a compact server, offering a cost-effective solution for building edge computing servers. It supports large-scale data processing needs in scenarios such as smart cities and industrial automation.