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.
Description
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.
Local AI Agent Deployment with OpenClaw
The AIBOX-3576M AI Computing Box now supports local deployment of the OpenClaw AI agent framework, enabling businesses and developers to build secure private AI assistants directly on edge devices.
Powered by an RK3576 octa-core processor with a 6 TOPS AI accelerator, the system delivers balanced AI performance for running lightweight AI agents, automation workflows, and intelligent coding assistants without relying on cloud infrastructure.
With OpenClaw installed locally, the AIBOX-3576M can function as a private AI workstation, supporting:
- AI coding assistance and automated script generation
- Local AI chatbot deployment for enterprise communication
- Workflow automation and intelligent task execution
- Secure on-device AI processing without data leaving the network
Thanks to its rich interfaces (USB, RS232/RS485, GPIO, CAN, Wi-Fi 6, and optional 4G), the system can easily integrate with printers, scanners, biometric devices, and industrial sensors, making it suitable for smart offices, retail terminals, and AIoT automation scenarios.
By combining OpenClaw AI agents with edge computing hardware, the AIBOX-3576M provides a cost-effective solution for deploying local AI automation in small and medium-scale environments.
Frequently Asked Questions (FAQ)
Can AIBOX-3576M run LLMs like ChatGLM or Phi-3?
Yes. It supports private deployment of LLMs including ChatGLM3-6B, Qwen-1.8B, etc., via Docker containers.
What AI frameworks are compatible?
TensorFlow, PyTorch, ONNX, RKNN, Caffe, and Darknet are fully supported.
What’s the highest video output resolution?
4K at 120Hz via HDMI output.
Does it support wireless networking?
Yes. Built-in WiFi 6, Bluetooth 5.4, and optional 4G via PCI-E.
Is edge behavior analysis real-time?
Yes. It supports real-time video data analysis with over 30 AI behavior algorithms.
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