Note: This SKU includes the RK3576 Compute Module, IO Board, and RK1820 M.2 AI Accelerator. The onboard M.2 M-Key slot is occupied by the included RK1820 accelerator in this configuration.
Feature1. Complete RK3576 Evaluation Platform
Move from a bare compute module to a complete development platform without designing a custom carrier board at the beginning of your project.
The Dev Kit combines the RK3576 Compute Module with an IO Board and RK1820 AI Accelerator that exposes the module's key interfaces through standard connectors, allowing developers to evaluate hardware, software, peripherals, and system architecture on one platform.
Key Benefits:
- RK3576 Compute Module
- RK1820 AI Accelerator
- IO Board in one kit
- Ready for hardware and software evaluation
- Simplifies peripheral and interface validation
- Reduces early-stage custom carrier board development
- Provides a reference platform for future product integration
Use the Dev Kit to validate the system first, then move to a custom carrier board when the product architecture is confirmed.
Feature2. 8-Core Computing with 6 TOPS Edge AI
At the core of the Dev Kit is the RK3576 processor, combining heterogeneous CPU computing with dedicated hardware AI acceleration.
8-Core CPU
The reComputer RK3588 features an advanced CPU architecture with
- 4 × Cortex-A72 @2.2GHz
- 4 × Cortex-A53 @2.0GHz
- LPDDR5 (4GB/8GB/16GB)
- ARM Mali GPU-G52 MC3
6 TOPS RK3576 NPU
With a built-in 6 TOPS NPU, it delivers efficient AI inference directly on the device, reducing latency and enhancing privacy without relying on the cloud.
AI performance highlights include:
- Vision CNN: YOLO11@77.9FPS(640\*640)
- LLM: capable of deepseek-r1-distill-qwen 7b support
- VLM: capable of qwen2.5-vl 3b
- STT: whisper_base_20s (RTF 0.218) with real-time processing support
- TTS：mms_tts_eng_200 （RTF 0.069) with real-time processing support
Check the details of the benchmark.
Feature3. Dedicated 20 TOPS AI Acceleration for LLM, VLM and CV
The RK1820 adds a dedicated 20 TOPS INT8 NPU and 2.5 GB of on-chip DRAM for AI acceleration alongside the RK3576 host processor.
Local LLM and VLM
Run optimized lightweight local LLMs and VLMs, including 3B-class workloads.
It is well suited to local AI assistants, edge AI agents, visual question answering, image understanding, and industrial copilots.
Supported workflows include Qwen, DeepSeek, and other RKNN3-compatible LLM and VLM models.
Computer Vision
Accelerate RKNN3-compatible vision models, including the YOLO family, for object detection, classification, segmentation, tracking, inspection, and video analytics.
Reference LLM Performance
Rockchip reference tests on the RK182X platform report over 100 tokens/s with an optimized Qwen2.5-3B workload.
> Actual performance varies by model, quantization, context length, software version, and system configuration.
Feature4. Rich I/O and High-Speed Expansion
The Dev Kit exposes a broad range of RK3576 interfaces for connecting storage, displays, cameras, networking, sensors, and other embedded peripherals.
40-Pin GPIO Expansion
A 40-pin GPIO expansion header provides convenient access to general-purpose interfaces for connecting sensors, actuators, controllers, and other embedded peripherals.
It enables developers to quickly build physical prototypes without designing additional interface hardware during early-stage validation.
Additional Native Interfaces
The Dev Kit also provides interfaces including:
- USB；GPIO；Audio；Storage；MIPI CSI；MIPI DSI；HDMI；USB-C DisplayPort；Gigabit Ethernet
Feature 5: Unlock the Raspberry Pi Expansion Ecosystem
This Dev Kit supports compatible Raspberry Pi peripherals
- Vision: Raspberry Pi Camera Module 3
- Display: Official 7-inch DSI Display
- Power & Expansion: PoE+ HAT and other compatible accessories
Build flexible solutions for machine vision, interactive displays, and Power over Ethernet applications.
Feature6. Gigabit Ethernet with PoE PD
The Dev Kit provides a native Gigabit Ethernet RJ45 port for high-bandwidth network connectivity.
Integrated IEEE 802.3at PoE PD support enables both power and network connectivity through a single Ethernet cable.
This is especially useful when prototyping smart cameras, AI terminals, gateways, and remotely deployed edge devices.
Feature7. High-Resolution Video Processing
The RK3576 integrates dedicated video processing hardware for high-resolution multimedia and vision applications.
Video Decoding
Supports up to:
- 8K @ 30fps: H.265 / VP9 / AV1 / AVS2
- 4K @ 60fps: H.264
Video Encoding
Supports up to:
- 4K @ 60fps: H.265 / H.264
These capabilities make the platform suitable for high-resolution video analytics, smart cameras, multimedia terminals, and other video-intensive edge applications.
| Parameter | Description | |
| Hardware Specification | ||
| Product Series | reComputer RK3576 Module Dev Kit | reComputer RK3576 Module Dev Kit with RK1820 AI Accelerator |
| SOC | Rockchip RK3576 | |
| CPU | 4x Cortex-A72@2.2GHz + 4x Cortex-A53@2.0GHz | |
| GPU | ARM Mali-G52 MC3 | |
| NPU | INT8@6TOPS | RK3576 NPU: INT8 @ 6 TOPS RK1820 AI Accelerator: up to 20 TOPS (INT8) |
| Operating System | Armbian (pre-installed), Debian, Ubuntu, Android 14+, and balenaOS support | |
| RAM | LPDDR5: 8GB | |
| Onboard Storage | eMMC: 64GB | |
| System Specification | ||
| Power Input | DC 9V~19V | |
| PoE | 1 x PoE PD* | |
| Power | Yes | |
| Reset | Yes | |
| MaskROM | Yes | |
| Interface | ||
| Ethernet | 1x Gigabit Ethernet with PoE support(Additional PoE Module Required) | |
| USB | 1 × USB 3.0 Type-A, 2 × USB 2.0 Type-A | |
| 1 × USB-C for USB OTG & DisplayPort | ||
| Display | 1x Display; 1x DP1.4 via USB Type C port； 1x 4-lane MIPI DSI(22pin) | |
| GPIO | 1x 40-Pin Expansion header | |
| SD Card | 1x Micro SD Card Slot | |
| M.2 Slot | 1x M.2 Key M 2280 slot (PCIe 2.1x 1), supporting either an NVMe SSD or an AI accelerator | |
| LED | 1x Power; 1x Status | |
| Button | 1x Power; 1x Reset; 1x MaskROM | |
| Audio | 1x 3.5mm Headphone Jack with Microphone Input | |
| CSI Camera | 1x 4-lane MIPI CSI(22pin)；1x 2-lane MIPI CSI(22pin) | |
| Fan Connector | 1 × 4-pin PWM fan connector | |
| RTC Backup | 1 × CR2032 RTC battery holder | |
| Power Input | 9–19V DC via DC jack or 2-pin power header | |
| Wireless Communication | ||
| Wi-Fi | Onboard WiFi6 with FPC Antenna | |
| BLE | BT5.4 with FPC Antenna | |
| Ambient Conditions | ||
| Operating Temperature | 0 ~ 70°C | |
| Others | ||
| Heat Dissipation | Fan | |
| Warranty | 1 years | |
| Production Lifetime | Until January 2036 | |
| Statement | Options marked with * require additional purchase according to the accessories list. | |
- Build Vision-Enabled Edge Products
- Prototype camera-based products for inspection, monitoring, retail analytics, and other real-time on-device vision applications.
- Create Private Multimodal AI Devices
- Develop local AI assistants that combine language, vision, and voice processing while keeping sensitive data on-device.
- Accelerate Custom Edge AI Product Development
- Validate the AI software stack and overall product architecture before moving from the Dev Kit to a custom carrier board.
reComputer RK3576 Module Schematic
reComputer RK3576 Module IO Board Schematic
| reComputer RK3576 Module 0864 | x1 |
| reComputer RK3576 Module IO Board | x1 |
| AI Accelerator | x1 |
| 12V/3A Power Adapter (with 1x US/EU/UK/AU Plugs) | x1 |
| 32GB microSD Card | x1 |
| Active Cooling System (Heatsink & Fan, pre-assembled) | x1 |
| Wi-Fi/BT FPC Antenna | x1 |
| Wi-Fi/BT External Rod Antenna | x1 |
| HSCODE | 8471504090 |
| USHSCODE | 8517180050 |
| UPC | |
| EUHSCODE | 8471707000 |
| COO |
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