Product description: reComputer AI R2130-12 - Raspberry Pi 5 8 GB - Seeedstudio 114993560
The reComputer AI R2130-12 is a powerful computing unit for edge AI applications. Built on a Raspberry Pi 5 and a Hailo-8 accelerator , the computer enables real-time data processing with low latency and high energy efficiency. Its integrated cooling system and compact, industrial-grade housing make it ideal for use in space-constrained environments. Support for dual M.2 slots, Wi-Fi , Bluetooth , and numerous interfaces make it a versatile solution for demanding AI systems.
reComputer AI R2130-12 - Raspberry Pi 5 8 GB - Seeedstudio 114993560.
reComputer AI R2130-12 has an efficient cooling system.
Main features of the reComputer AI R2130-12
- Raspberry Pi 5 Processor : Quad-core Cortex A76 2.4 GHz, 64-bit
- AI performance up to 26 TOPS : thanks to Hailo-8 M.2 module
- NVMe drive support : 2 x M.2 PCIe 3.0 slot (M-Key connector)
- Wireless connectivity : WiFi 802.11ac (dual-band), Bluetooth 5.0/BLE
- High resolution video : 2 x micro HDMI (4Kp60)
- Advanced active cooling : heatsink and fan for optimal operating temperature
- 5V/5A power supply : via USB Type-C port with Power Delivery support
- Built-in power button : and NVMe and device status LEDs
Advanced connectivity - well-thought-out connectors and interfaces
The reComputer AI R2130-12 is equipped with a comprehensive set of ports that enable extensive integration with peripherals, storage, and networks. The interface layout is designed with user convenience and maximum hardware configuration flexibility in mind.
- Power Input - 5V/5A via USB Type-C with Power Delivery support
- First video output - micro HDMI supporting 4K resolution at 60 fps
- Second video output - micro HDMI supporting 4K resolution at 60 fps
- Active cooling system - radiator with fan
- Network port - Ethernet 1x 10 / 100 / 1000 Mb/s
- High-Speed USB Ports - 2 x USB 3.0 for high-speed peripherals
- Standard USB ports - 2 x USB 2.0 for keyboards, mice, receivers
- MicroSD memory card slot - for booting the system or storing data
- Power button - turns the device on/off
- Device status LED - signaling correct system operation
- NVMe activity LED - information about the operation of M.2 drives
Arrangement of elements.
Equipped with a Raspberry Pi 5 with a quad-core Cortex A76 processor.
Hailo-8 Accelerator - AI Power at the Edge
The built-in Hailo-8 AI module enables processing up to 26 TOPS , translating into the ability to support over 200 FPS for the YOLOv8s model. Dedicated deep learning acceleration enables the development of advanced image recognition, object detection, and real-time video stream analysis systems . Compatibility with ONNX frameworks and support from HailoRT make integrating custom AI models fast and efficient.
Flashing the operating system - quick start
The device supports Raspberry Pi OS and Ubuntu 64-bit , and the system installation process is simplified with Raspberry Pi Imager . You can install the OS to an SD card or directly to an NVMe drive . For best boot times and reliability, the manufacturer recommends configuring the EEPROM to boot from NVMe. Updating the firmware and preparing the system takes just a few simple steps and can be performed on any system—Windows, macOS, or Linux.
Practical applications
reComputer AI R2130-12 is used wherever reliability, compact size and high AI performance are important:
- Video monitoring (NVR) - real-time image analysis, motion and object detection
- Smart retail and digital signage - analysis of customer behavior, dynamic advertising content
- Traffic and transport management - license plate recognition systems, vehicle flow analysis
- AI Research Projects - Rapid Prototyping of Image Recognition, Classification, and NLP Systems
Hailo AI offers integrated computing power of up to 26 TOPS.
| Technical specifications of the reComputer AI R2130-12 | |
|---|---|
| CPU | Raspberry Pi 5, 2.4 GHz quad-core Cortex A76 64-bit processor |
| GPU | Raspberry Pi 5, VideoCore VII |
| AI processor | Hailo-8 M.2 Accelerator, 26 tera-operations per second (TOPS) |
| RAM | 8GB SDRAM |
| Operating system | Raspberry Pi OS, Ubuntu |
| Power input | 5V/5A DC via USB Type-C with Power Delivery support |
| Video decoder | 4Kp60 HEVC decoder |
| Wireless connectivity | WiFi 802.11ac (dual-band), Bluetooth 5.0 / BLE |
| Power button | yes - ON/OFF |
| microSD card slot | 1 x microSD slot with SDR104 mode support |
| M.2 slots | 2 x M.2 PCIe 3.0 slots (NVMe SSD / Hailo accelerator) |
| USB ports | 2xUSB 3.0, 2xUSB 2.0 |
| Ethernet port | 1 x 10 / 100 / 1000 Mbps (Gigabit Ethernet) |
| Camera/Display Interfaces | 2 x 4-lane MIPI transceivers (camera/screen) |
| Video outputs | 2 x micro HDMI (4Kp60) |
| Degree of protection | IP40 |
| Operating temperature | from 0°C to 45°C |
| Dimensions | 63 x 94 x 45 mm |
Useful links |
