reComputer RK3576-20 Open Rockchip AI Box for AI Development

reComputer RK3576-20 Open Rockchip AI Box for AI Development This product is more than an open-source 8-core Linux AI box. Built on the powerful Rockchip RK3576 4GB RAM, it is designed to make edge AI development and deployment faster and easier. To improve the developer experience, Seeed offers reComputer AI Lab — a platform that helps you deploy AI applications with one-click tools and ready-to-use resources. It includes optimized edge AI model demos for CV, LLM, VLM, STT, and TTS, interactive tutorials, deployment tools, containerized applications, and community projects to speed up development on Rockchip. With rich I/O, multiple OS support, wireless expansion options, and active cooling, this compact AI box is ready for a wide range of edge AI workloads. It is ideal for smart vision systems, voice-enabled devices, AI agents, robotics, and industrial edge applications. Key Features Feature 1: Based on Powerful RK3576 Processor 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 Feature 2: 6 TOPS NPU Embedded 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 for deepseek-r1-distill-qwen 7b support VLM: capable for 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. Feature 3: Compute Power, Storage, and Wireless Connectivity Expandable It offers flexible expansion through a) 1 × M.2 M Key: PCIe 2.1x1, supports SSD expansion and AI accelerators such as Hailo and Rockchip, up to 26TOPS b) 1 x miniPCIe for wireless expansion, like 4G LTE, LoRaWAN, Wi-Fi HaLow Feature 4: Broad Model and Framework Support It also supports a wide range of popular AI models, From computer vision and speech to LLM-powered edge intelligence, including: YOLO, MobileNet V2, RetinaFace, CLIP, Whisper, DeepSeek-R1, Qwen2-VL，................... Framework support includes: ONNX, PyTorch, TensorFlow, TensorFlow Lite, Caffe, Darknet，................... Toolchain support: RKNN-Toolkit2 This broad compatibility makes it easy to migrate existing models and build integrated edge AI applications across Perception AI, Generative AI, Agent and Physical AI. Feature 5: Get Started in Seconds with reComputer AI Lab Deploying AI at the edge is often complicated — from environment setup and model conversion to performance optimization. To simplify this process, Seeed created reComputer AI Lab, a developer platform designed to lower the barrier to edge AI development. It provides a complete collection of optimized AI model demos for CV, LLM, and VLM, along with interactive tutorials, deployment tools, containerized AI applications, project examples, and community resources. It is built to accelerate AI development and deployment on Rockchip, Raspberry Pi, and NVIDIA Jetson platforms. For Rockchip users, reComputer AI Lab includes: Ready-to-Use Models Access pre-optimized models without starting from scratch. AI Lab includes models such as YOLO11, MobileNet, CLIP, and Whisper, optimized for Rockchip platforms. With the RKLLM toolchain, it also supports edge LLM deployment. One-Command Deployment Tools Skip complex build environments and speed up deployment with one-command tools. With Seeed-optimized RKNN-Toolkit2, models can be converted from ONNX to NPU deployment in just minutes, making AI application deployment faster and easier. Comprehensive Tutorials, Projects, and Community From basic NPU benchmarking to real-world applications such as YOLO11-based industrial detection, AI Lab provides step-by-step guides, practical project examples, and community support to help developers build faster. Feature 6: Pre-installed Armbian and Multi-OS The device comes with Armbian pre-installed for a fast out-of-the-box experience. With the help of Armbian, we are able to provide long-term maintained system images, security updates, encrypted OS options, and OTA upgrade support for production-ready deployment. It also supports multiple operating systems through the Rockchip ecosystem, giving developers more flexibility across different projects, Ubuntu, Android, Debian. Feature 7: Simultaneous 3-Display Output with 8K Video Capability The reComputer RK3576 Series supports simultaneous 3-display output, giving developers more flexibility for digital signage, control centers, smart retail, and multimedia systems. Supported output interfaces include: HDMI | MIPI DSI | Type-C (DP Alt Mode) It also offers strong multimedia capabilities: Up to 4K@60fps video encoding with H.265 / H.264 Up to 8K@30fps video decoding with H.265 / H.264 / AV1 / AVS2 This makes it ideal for high-resolution AI vision and multimedia applications. Technical Specifications Specification reComputer RK3576 reComputer RK3588 SKU 4GB RAM：100062096 8GB RAM：100052518 8GB RAM：100071234 16GB RAM：100086238 CPU 4x Cortex-A72@2.2GHz 4x Cortex-A53@2.0GHz 4x Cortex-A76@2.4GHz 4x Cortex-A55@1.8GHz GPU ARM Mali-G52 MC3 ARM Mali-G610 MC4 NPU INT8@6TOPS; Supporting INT4/8/16/FP16/BF16/TF32 mixed operations Operating System Debian 12 RAM LPDDR5: 4GB/8GB/16GB LPDDR5: 8GB/16GB/32GB Power Input 9V-19VDC PoE (as powered device) 1x PoE PD 1x PoE PD Button 1x Power; 1x Recovery; 1x MaskROM Ethernet 1x Gigabit Ethernet 1x Gigabit Ethernet with PoE support* 1x 2.5 Gigabit Ethernet 1x 2.5 Gigabit Ethernet with PoE support* USB 1x Type A USB 3.0 3x Type A USB 2.0 1x Type C for OTG & DP 4x Type A USB 3.0 1x Type C for OTG & DP HDMI 1x HDMI 2.0 2x HDMI 2.1;1x HDMI 2.0 Input SIM Card 1x nano SIM Card Slot SD Card 1 x microSD card slot SSD Card PCle2.1x 1 for NVMe SSD or Al Accelerator PCle3.0x 4 for NVMe SSD or Al Accelerator PCle2.1x 1for NVMe SSD or Al Accelerator LED 1x Power; 1x Status; 1x User Buzzer 1 1 Wi-Fi Onboard WiFi6 & BT5.4 with FPC Antenna BLE LoRa USB LoRa®*/SPI LoRa®* USB LoRa®*/SPI LoRa®* 4G/5G Cellular 4G LTE* 4G LTE* Certification FCC/CE/TELEC/RoHS Operating Temperature 0~60°C 0~55°C Storage Temperature -20~90 °C -20~90 °C Operating Humidity 10~95% RH 10~95% RH RTC 1x 2PIN 1x 2PIN Heat Dissipation Heatsink with Fan Enclosure Material ABS Plastic Warranty 1 year Hardware Overview Application Check More Demos on reComputer AI lab. Documents reComputer RK35XX Series Flyer reComputer RK3576 Schematic recomputer_rk3576 Top Cover ABS recomputer_rk3576 Bottom Cover ABS reComputer RK3576 User Manual Part List reComputer RK3576-20 x1 12V/3A Power Adapter (with 1x US/EU/UK/AU Plugs) x1 32GB microSD Card x1 User Manual x1