reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development
reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development
reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development
reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development
reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development
reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development
reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development
reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development
reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development
reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development

reComputer RK3576-30 | Open Rockchip AI Box tailored for AI Application Development

SKU: SS100052518
A$349.48   Inc. GST
Out Of Stock

We will notify you when this product becomes available.
This product is more than an open-source 8-core Linux AI box. Built on the powerful Rockchip RK3576 8GB 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.

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 & 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 & 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 ：
  1. 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.
  1. 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.
  1. 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.



 reComputer RK3576reComputer RK3588
SKU4GB RAM：100062096
8GB RAM：100052518		8GB RAM：100071234
16GB RAM：100086238
CPU4x Cortex-A72@2.2GHz
4x Cortex-A53@2.0GHz		4x Cortex-A76@2.4GHz
4x Cortex-A55@1.8GHz
GPUARM Mali-G52 MC3ARM Mali-G610 MC4
NPUINT8@6TOPS; Supporting INT4/8/16/FP16/BF16/TF32 mixed operations
Operating SystemDebian 12
RAMLPDDR5: 4GB/8GB/16GBLPDDR5: 8GB/16GB/32GB
Power Input9V-19VDC
PoE (as powered device)1x PoE PD1x PoE PD
Button1x Power; 1x Recovery; 1x MaskROM
Ethernet1x Gigabit Ethernet
1x Gigabit Ethernet with PoE support*		1x 2.5 Gigabit Ethernet
1x 2.5 Gigabit Ethernet with PoE support*
USB1x 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
HDMI2x HDMI 2.01x HDMI 2.0
SIM Card1x nano SIM Card Slot
SD Card1 x microSD card slot
SSD CardPCle2.1x 1 for NVMe SSD or Al AcceleratorPCle3.0x 4 for NVMe SSD or Al Accelerator
PCle2.1x 1for NVMe SSD or Al Accelerator
LED1x Power; 1x Status; 1x User
Buzzer11
Wi-FiOnboard WiFi6 & BT5.4 with FPC Antenna
BLE
LoRaUSB LoRa®*/SPI LoRa®*USB LoRa®*/SPI LoRa®*
4G/5G Cellular4G LTE*4G LTE*
CertificationFCC/CE/TELEC/RoHS
Operating Temperature0~60°C0~55°C
Storage Temperature-20~90 °C-20~90 °C
Operating Humidity10~95% RH10~95% RH
RTC1x 2PIN1x 2PIN
Heat DissipationHeatsink with Fan
Warranty1 year





Check More Demos on reComputer AI lab.





reComputer RK3576-30
x1
12V/3A Power Adapter (with 1x US/EU/UK/AU Plugs)
x1
32GB microSD Card
x1
User Manual
x1




HSCODE8471504090
USHSCODE8517180050
UPC
EUHSCODE8471707000
COOCHINA



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Please add the items in cart and proceed to checkout to calculate shipping cost. We have range of shipping options once goods are ready to dispatch. 
1. Regular shipping: Goods will be shipped using Australia post regular shipping service. 
2. Express shipping: Goods will be shipped using Australia post EXPRESS shipping service. 
3. Express split shipping: Local stock from Melbourne will be shipped ASAP (1 business day) using EXPRESS shipment while remaining items from overseas stock when arrived in Melbourne shipped using second EXPRESS shipment. 
4. Pick up from Thomastown, Melbourne is available on appointment between 9 am to 3 pm during business days. 

  

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Unless expressly agreed otherwise with you, we will not commence delivery of an order until we have received cleared payment of the purchase price in full.

All orders placed before 11 am AEST (Monday to Friday) will ordinarily be processed on the same day.

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*Go to Australia post delivery time calculation to get various Australia post service in your area please use our shipping postcode Thomastown, 3074 as the "from" address - https://auspost.com.au/parcels-mail/delivery-times.html?ilink=tools-open-deliv-times.

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We ship all products throughout mainland Australia, Tasmania and New Zealand - Including Darwin, Melbourne, Sydney, Tasmania, Adelaide, Brisbane, Perth, all metro and regional areas but do not deliver to areas in Australia where the Australia Post delivery network is not available. 

Check Express shipping delivery coverage area at - http://auspost.com.au/parcels-mail/delivery-areas.html

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  • leave the relevant parcel at the unattended address (the courier will do so if specified in your delivery requirements); or
  • re-attempt delivery at a later time or date, in which case we may charge you an additional re-delivery fee. 

Note that if a delivery is left unattended at the shipping address and is subsequently stolen then the theft is your responsibility, not ours.

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