AIBOX-3576M – 8-Core AI Computing Box
AIBOX-3576M features an 8-core RK3576 processor, 6TOPS NPU, 4K@120Hz decoding, LLM private deployment, and supports major deep learning frameworks. Designed for video analysis and smart edge AI.
8-Core High-Powered AIoT Processor
The AIBOX-3576M is equipped with Rockchip RK3576, a next-generation 8-core 64-bit AIoT processor using big.LITTLE architecture:
Ultra-Low Power Consumption & Safe Operation
- 4× Cortex-A72 + 4× Cortex-A53
- Clock speed up to 2GHz
It integrates:
- 6TOPS NPU for AI inference acceleration
- Mali-G52 MC3 GPU with 145 GFLOPS for enhanced video and image perception
Designed for multitasking, real-time processing, and video AI edge workloads.
igh-Efficiency Quad-Core Processing
- Processor: RK3568 (Cortex-A55x4), up to 2.0GHz
- OS: Android 11.0
- Memory: 2GB RAM
- Storage: 16GB eMMC
- NPU: Built-in with 1TOPS computing power for AI processing
Supports Large Language Model (LLM) Deployment
Built for modern AI, AIBOX-3576M supports private deployment of LLMs such as:
- Gemma-2B
- ChatGLM3-6B
- Qwen-1.8B
- Phi-3-3.8B
Also supports Docker containerized environments, making it ideal for on-premise AI inference and offline LLM applications in privacy-sensitive industries.
Supports Multiple Deep Learning Frameworks
Out-of-the-box support for:
- TensorFlow / TensorFlow Lite
- PyTorch
- Caffe
- ONNX
- Darknet
- RKNN model import/export
Also supports custom operator development, making it highly adaptable for industrial AI integration.
4K@120fps Ultra HD Video Processing
- Supports 4K@120fps decoding (H.265, VP9, AVS2, AV1)
- 4K@60fps encoding (H.265, H.264)
- HDMI output up to 3840×2160@120Hz
Delivers exceptional performance for real-time surveillance, analytics, and AI-assisted visualization.
Strong Network Communication Capability
Ensures stable and fast data exchange with:
- 1× Gigabit Ethernet (100/1000M)
- WiFi 6
- Bluetooth 5.4
- 4G module via PCI-E
Suitable for edge devices in connected industrial systems and remote deployments.
Rich Interface Expansion
Standard I/O includes:
- USB 3.0 / USB 2.0
- RS232 / GPIO
- Optional: RS485 / CAN
Facilitates plug-and-play use with common peripherals and sensor modules, supporting wide industrial deployment needs.
Multi-Algorithm AI Support
Includes 30+ behavior recognition algorithms, with customization available.
Examples include:
Abnormal behavior detection
Fire or danger alerts
Zone safety and occupancy monitoring
Combines with big data platforms and edge monitoring systems to deliver actionable insights in real time.
Application Scenarios
AIBOX-3576M is widely used in:
- Office buildings
- Industrial parks
- Commercial communities
- Infrastructure and public facility monitoring
Ideal for video-structured analysis, AI security systems, and real-time video data analytics.
Frequently Asked Questions (FAQ)
Yes. It supports private deployment of LLMs including ChatGLM3-6B, Qwen-1.8B, etc., via Docker containers.
TensorFlow, PyTorch, ONNX, RKNN, Caffe, and Darknet are fully supported.
4K at 120Hz via HDMI output.
Yes. Built-in WiFi 6, Bluetooth 5.4, and optional 4G via PCI-E.
Yes. It supports real-time video data analysis with over 30 AI behavior algorithms.
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