Product Overview
Compact, high-efficiency compute expansion board designed for rapid custom board integration to execute on-site ML modeling.
Operational Scope & Logic
Rockchip RK3566 quad-core Cortex-A55 with integrated 1 TOPS NPU. Designed as an M.2/board-to-board expansion for edge MCU systems. Runs TFLite, ONNX, and YOLO models natively.
Profile Specifications
| CPU | Quad-core ARM Cortex-A55 @ 1.8 GHz |
| NPU | 1 TOPS (INT8) |
| RAM | 4 GB LPDDR4 |
| Storage | 32 GB eMMC |
| OS | Ubuntu 22.04 / Buildroot Linux |
Core Capabilities
Applied Use Cases
- • Plug-in vision AI for factory conveyor camera systems
- • On-board predictive maintenance inference for motors
- • NLP/LLM inference for LingoControl LLM Middleware
Hardware & API Simulator
Test telemetry registers, compilation sweeps, or load parameters live using our built-in R&D diagnostic simulator below.
Post-Training Quantization Compiler
Compile high-dimensional neural network weights (FP32) into compact micro-instructions (INT8).
Ready for Immediate Factory Deployment & Custom Integration
Our design processes follow strict quality management pipelines, ensuring physical hardware modules fit seamlessly inside dynamic industrial cabinets.