RUBIK Pi 3 Development Board | Based on Qualcomm QCS6490 Platform | 12 TOPS AI Computing Power, Compatible with Multiple Systems, Developer-friendly Design | Available Worldwide
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RUBIK Pi 3 Development Board | Based on Qualcomm QCS6490 Platform | 12 TOPS AI Computing Power
- Quick Start: https://www.thundercomm.com/rubik-pi-3/en/docs/rubik-pi-3-user-manual
- Tips
Introduction
RUBIK Pi 3, a lightweight development board based on Qualcomm Dragonwing™ QCS6490 platform, is the first Pi built on Qualcomm AI platforms for developers.
RUBIK Pi 3 supports multiple operating systems such as Android / Linux / LU, with SDKs from Thundercomm to provide developers with better experience. With excellent AI performance at 12 TOPS, Qualcomm Dragonwing™ QCS6490 can be paired with Qualcomm AI Hub for allowing developers to personally experience the impact of AI evolution.
RUBIK Pi 3 boasts rich interfaces and functions with support of USB Type-A (1x 2.0, 2x 3.0), USB 3.1 Gen 1 Type-C with DP (4K@60), Camera, HDMI OUT (4K@30), 1000M Ethernet port, 40pin header connector, 3.5mm headphone jack, Wi-Fi 5, BT 5.2, M.2 M-key connector, Micro USB and RTC, etc., to meet diverse development needs. It also has designed interfaces and is compatible with a variety of embedded development board peripherals, which helps reduce implementation difficulty and cost for developers.
Features
1. Powerful AI Performance
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12 TOPS AI Computing Power: Enables efficient deployment of AI models, including 1.8B parameter Small Language Models (SLM), making it ideal for edge AI applications.
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Optimized AI Ecosystem: Compatible with models from the Qualcomm AI Hub, ensuring efficient model deployment and operational efficiency.
2. Multi-System Compatibility
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Supports multiple operating systems, including Qualcomm Linux, Android 13, Debian 12, and Canonical Ubuntu for Qualcomm Platforms (planned), providing flexibility for different development needs.
3. Rich Hardware Specifications
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High-Performance Processor: Qualcomm® Kryo™ 670 CPU with a mix of Cortex-A78 and Cortex-A55 cores for balanced performance and efficiency.
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Advanced GPU: Adreno 643 GPU @ 812 MHz for graphics-intensive tasks.
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Ample Memory and Storage: 8GB LPDDR4x RAM and 128GB UFS 2.2 storage for smooth multitasking and large datasets.
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Wireless Connectivity: Wi-Fi 5 and Bluetooth 5.2 for seamless connectivity.
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Versatile Interfaces: Includes HDMI, 1000M Ethernet, USB 3.0/2.0, M.2 Key M 2280 (PCIe3.0 2-lane), and a 40-pin GPIO connector, making it highly adaptable for various projects.
4. Developer-Friendly Design
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Compact Size: 100mm x 75mm, suitable for embedding in product designs.
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Raspberry Pi 5 Compatibility: Works with official Raspberry Pi 5 accessories, reducing the need for additional hardware.
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Open-Source Community: Extensive documentation and tutorials available, lowering the learning curve for developers.
5. Versatile Applications
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Suitable for a wide range of use cases, including AIoT video analysis, smart security, smart factories, smart agriculture, AI education, smart robotics, smart retail, and healthcare.
Shipping List
Original packaging.
Applications
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AIoT Video Analysis
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Real-time processing of multiple camera video streams for object detection, behavior analysis, and edge computing applications.
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Smart Security
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Smart surveillance systems for intrusion detection and electronic fence applications.
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Smart Factory
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Industrial automation, quality inspection, and robot control to enhance production efficiency and intelligence.
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Smart Agriculture
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Crop monitoring, pest and disease identification, and intelligent irrigation to optimize agricultural production efficiency.
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AI Education and Research
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AI teaching and experimental platform supporting image recognition, speech recognition, and other experiments.
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Smart Robotics
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Provides visual perception, speech interaction, and decision-making capabilities for service and specialized robots.
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Smart Retail
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Intelligent cashier systems, customer behavior analysis, and inventory management to improve retail efficiency.
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Healthcare
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Medical imaging analysis and remote health monitoring to assist in diagnosis and health management.
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Specification
| Category | RUBIK Pi 3 Feature |
| Platform | Qualcomm Dragonwing™ QCS6490 |
| Memory | RAM 8 GB LPDDR4x ROM 128 GB UFS 2.2 |
| Video | 1 x HDMI 1.4 output (up to 4K 30 Hz) 1 x DP over USB Type-C (up to 4K 60 Hz) 2 x camera connector (4-lane MIPI CSI D-PHY) |
| Audio | 1 x 3.5mm headphone jack |
| Connectivity | 1 x USB Type-C (USB 3.1 Gen 1) 2 x USB Type-A (USB 3.0) 1 x USB Type-A (USB 2.0) 1 x 1000M Ethernet (RJ45) 1 x UART for debug (over Micro USB) 1 x M.2 Key M connector (PCIe 3.0 2-lane) 40-pin LS connector supporting various interface options: - Up to 28 x GPIO - Up to 2 x I2C - Up to 3 x UART - Up to 3 x SPI - 1 x I2S (PCM) - 1 x PWM channel |
| Others | 1 x Power on button 1 x EDL button 1 x RGB LED 2-pin RTC battery connector 4-pin PWM fan connector |
| Wireless connection | Wi-Fi: IEEE 802.11 a/b/g/n/ac Bluetooth: BT 5.2 On-board PCB antenna |
| Power supply | Power Delivery over Type-C, 12V 3A |
| Operating environment | Operating temperature: -20°C - 75°C |
| Dimensions | 100mm x 75mm x 25mm |
| OS support | Android 13 Qualcomm® Linux® Debian 13 Canonical Ubuntu for Qualcomm platforms* |
*: Planning
Compare
| Item | RUBIK Pi 3 | *** | *** | *** |
| SOC | Qualcomm Dragonwing™ QCS6490 | BCM2712+Hailo 8L | BCM2712 | RK 3588 |
| Process | 6nm | 16nm | 16nm | 8nm |
| CPU |
CPU670 built on Arm V8 1 x GoldP@2.7GHz 3 x Gold@2.4GHz 4 x Silver@1.9GHz |
4 x Arm A76@2.4GHz | 4 x Arm A76@2.4GHz | 4 x Arm A76@2.4GHz 4 x Arm A55@1.8GHz |
| GPU | Adreno 643 | VideoCore VII | VideoCore VII | Mali G610MP4 |
| AI | 12 Tops | 13 Tops | Null | 6 Tops |
| RAM | 8GB LPDDR4X | 8GB LPDDR4X | 8GB LPDDR4X | 8GB LPDDR4/4X |
| ROM | 128GB UFS2.x | NA (Need to purchase external SD card separately) | ||
| Size | 75mm x 100mm | 85mm x 56mm | 85mm x 56mm | 75mm x 100mm |
Detailed Descriptions
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