- Advanced Processing Subsystem: Octa-core CPU architecture featuring 4× Cortex-A72 @ 2.2GHz + 4× Cortex-A53 @ 2.0GHz, paired with an ARM Mali-G52 MC3 GPU to handle demanding multi-threaded industrial control and automation tasks.
- Flexible Hardware Configurations (Optional): Available in multiple memory and storage combinations to perfectly align with your specific edge workload requirements:
- Memory: 4GB / 8GB LPDDR5 (Scalable up to 16GB).
- Storage: 32GB / 64GB eMMC(Scalable up to 128GB).
Feature 2: Next-Gen Edge AI Engine & Production-Ready Software Ecosystem
- 6 TOPS NPU Acceleration: Integrated hardware AI accelerator supporting INT4/INT8/INT16/FP16/BF16/TF32 mixed quantization operations. This powerful core enables efficient on-device AI inference, eliminating cloud dependencies while ensuring data privacy and low-latency responses.
- reComputer AI Lab Supported (One-Command Deployment): Streamline your entire development pipeline from PyTorch or TensorFlow to RKNN via Seeed’s optimized toolchain. Skip tedious build environments and achieve one-command or no-code Docker deployments in minutes.
- Comprehensive AI Workload Support: Pre-optimized and validated for modern multimodal Edge AI workloads:
- Computer Vision (CV): Deep integration with YOLOv11, achieving real-time high-frame-rate low-latency inference at up to 77.9 FPS (640×640), perfect for object detection, segmentation, defect detection, and intelligent video analytics.
- Large Language Models (LLM): Fully capable of running optimized lightweight local language models, including DeepSeek-R1-Distill-Qwen (1.5B/7B) for offline industrial copilots, AI assistants, and knowledge retrieval.
- Vision-Language Models (VLM): Supports next-gen multimodal models like Qwen2-VL for complex visual reasoning and intelligent tracking.
- Speech AI: Enables completely offline voice interaction, automated speech recognition (ASR), and Text-to-Speech (TTS) using advanced frameworks like Whisper.
Check the details of the benchmark.
Feature 3: Industrial-Grade System-on-Module (SOM) Architecture
- Optimized for Carrier Board Integration: Tailored specifically for direct physical embedding into proprietary B2B custom carrier boards, moving past mere generic development and validation hardware.
- 200-Pin High-Density B2B Connectors: All native I/O interfaces are securely routed via standard 200-pin high-density board-to-board (B2B) connectors, ensuring an ultra-compact SOM footprint while maintaining premium signal integrity for industrial deployments.
Feature 4: Extensive Interface Expansion via IO Board
While keeping the module layout highly compact for system integration, the underlying architecture reserves rich native signals, enabling the full reComputer RK3576 Evaluation Kit carrier board to unlock desktop-class and industrial connectivity:
- Display & Video: HDMI 2.1, MIPI DSI, and USB Type-C (DP Alt Mode) supporting simultaneous 3-display outputs.
- Camera Input: MIPI CSI (Up to 4-lane).
- Wireless Connectivity: Dual-band Wi-Fi 6, Bluetooth 5.x, with miniPCIe expansion capabilities for 4G LTE, LoRaWAN, and Wi-Fi HaLow.
- High-Speed Peripherals: PCIe 2.1 (1-lane), M.2 M-Key (Supports NVMe SSDs and external AI accelerators up to an expanded 26 TOPS).
- Industrial Networking: 2x Gigabit Ethernet (PoE supported via evaluation carrier board).
The module's pinout architecture is also compatible with the Raspberry Pi CM4 IO Board for baseline development.
Feature 5: Unlock the Official Raspberry Pi Expansion Ecosystem
The reComputer RK3576 Module supports both the Raspberry Pi CM4 IO Board and the Seeed R3576 IO Board. When paired with the Seeed Studio IO Board, it also 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.
Feature 6: Industrial Reliability & OS Ecosystem
- 24/7 Continuous Operation: Built from the ground up for high stability, long lifecycles, and uninterrupted runtime under full computational edge workloads in demanding environments.
- Commercial Grade: 0°C to 70°C operating temperature range (Optimized for robust enterprise systems, indoor kiosks, and standard commercial terminals).
- Official Armbian Support & Linux Ecosystem & Android 14+: Fully compatible with Linux (Pre-installed with Armbian, supporting Debian and Ubuntu) 、Android 14 and . Provides long-term maintained system images, regular security updates, OTA support, and a stable SDK to drastically reduce time-to-market.
Feature 7: 4K Multimedia & Ultra-HD Processing
- Advanced Video Processing Unit (VPU): Engineered for heavy video decoding and multi-channel high-resolution vision systems.
- Video Decoding: Up to 8K @ 30fps (H.265 / H.264 / AV1 / AVS2).
- Video Encoding: Up to 4K @ 60fps (H.265 / H.264).
| Parameter | Description |
| Hardware Specification | |
| Product Series | reComputer RK3576 Module |
| SoC | Rockchip RK3576 |
| CPU | 4 × Cortex-A72 @ up to 2.2 GHz + 4 × Cortex-A53 @ up to 2.0 GHz |
| GPU | Arm Mali-G52 MC3 |
| NPU | Up to 6 TOPS INT8; supports INT4 / INT8 / INT16 / FP16 / BF16 / TF32 mixed-precision operations |
| ISP | 16MP ISP with HDR, 3A, 2D/3D noise reduction, dehaze, and lens-distortion correction |
| Video Decoding | Up to 8K@30fps or 4K@120fps; H.265, VP9, AV1, AVS2, and H.264 |
| Video Encoding | Up to 4K@60fps; H.264 and H.265 |
| RAM | LPDDR5: 4GB / 8GB / 16GB |
| Onboard Storage | eMMC: 32GB / 64GB / 128GB |
| Module Interface | |
| Board-to-Board Connector | 2 × 100-pin B2B connectors |
| Carrier Board Compatibility | Seeed RK3576 IO Board and Raspberry Pi CM4 IO Board |
| Display Interfaces | HDMI/eDP, MIPI DSI, and USB-C DP |
| Camera Interfaces | 4-lane + 2-lane MIPI CSI-2 |
| PCIe | PCIe 2.1 ×1 |
| USB | USB 3.2 Gen 1 and USB 2.0 |
| Ethernet | Gigabit Ethernet |
| Storage Expansion | SDMMC and PCIe |
| Peripheral Interfaces | GPIO, I²C, SPI, UART, PWM, CAN, and I²S/PCM |
| Wireless Communication | |
| Wi-Fi | Onboard Wi-Fi 6 |
| Bluetooth | Bluetooth 5.4 |
| Antenna | U.FL / I-PEX connector for an external FPC antenna |
| Software Ecosystem | |
| Operating Systems | Armbian (pre-installed), Debian, Ubuntu, Android 14+, and balenaOS support |
| AI Toolchain | RKNN Toolkit2 and reComputer AI Lab |
| Electrical and Environmental | |
| Power Input | 5V DC |
| Operating Temperature | 0–70°C, subject to the carrier board and system thermal design |
| Heat Dissipation | External cooling recommended |
| Form Factor | 55 mm × 40 mm |
| Others | |
| Production Lifetime | Until January 2036 |
| Warranty | 1 year |
| Statement | Interfaces require a compatible carrier board* |
- Smart Security & Video Analytics: Multi-channel Network Video Recorders (NVR), intelligent video security boxes, AI-powered crowd analytics, and perimeter intrusion detection.
- Industrial IoT & Automation: Industrial PCs (IPC), Protocol Gateways, Programmable Logic Controller (PLC) data aggregators, HMI touch panels, and predictive maintenance nodes.
- Robotics & Physical AI: Autonomous inspection drones/rovers, voice-controlled robots, visual navigation, and AI agents with physical interaction.
- Smart Retail & Commercial Terminals: AI interactive kiosks, self-service vending terminals, smart digital signage with audience analytics, and POS edge intelligence.
- Energy & Smart Infrastructure: Smart grid monitoring units, EV charging station controllers, environmental monitoring stations, and intelligent traffic telemetry gateways.
- Medical & Healthcare: Medical image display assist terminals, health monitoring data aggregators, and laboratory automation control modules.
reComputer RK3576 Module Schematic
| reComputer RK3576 Module | x1 |
| HSCODE | 8471504090 |
| USHSCODE | 8517180050 |
| UPC | |
| EUHSCODE | 8471707000 |
| COO |
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