With the rapid development of AI technology, it is difficult to find a Pi board in the market to meet the requirements of both high performance and ease to use.
Our AIGC-Pi SBC is an open-source platform for learning AI. It's based on the Qualcomm 6nm chip, with 5G connectivity, 12 TOPS, and low power consumption. The board provides many high-performance interfaces and easy to use. For example, there is a 2.5G Ethernet port, a PCIE3.0x2 interface, 40-pin header etc. We'll open source many application samples, such as running large language models locally and various AI sample programs.
The goal of the AIGC-Pi SBC is that everyone can easily learn AI, and build amazing things to show your creativities.
Open SourceThe Qualcomm chipset we’re using has upstream Qualcomm Linux support. Base on this branch, we'll build our GitHub repo and maintain all our contributions on GitHub repos and let you easy to build and DIY your creatitivites, we will public our GitHub reop link later, just like we did before.
The Qualcomm Dragonwing™ QCM6490 chipset on our AIGC-Pi board is purpose-built with global 5G mmW/Sub-6 GHz and support for Wi-Fi 6E for ubiquitous coverage, multi-OS support for IoT industrial use cases.
8+128GB(UFS2.x) memory is built on the SBC, if you need more memory, you can use SD card or SSD to extend much larger.
With Qualcomm 5G modern, you can access the enthernet anywhere, any place. Besides, you can also use Wi-Fi 6E for blazing fast connectivity over your Wi-Fi network.
Built-in SIM card slot
There is a SIM card slot. You can choose the SIM card of your preferred carrier, enabling the AIGC-Pi to connect to the internet and work anywhere.
The AIGC-Pi SBC is inspired by Raspberry Pi. Our goal is not only to be compatible with the Raspberry Pi 4B and 5 as much as possible, but also maximize the significant advantages of the Qualcomm chip, such as 5G connectivity, high performance, and low power consumption.
Super Fast Speed Ethernet: up to 2.5Gbps
PCIE 3.0x2
There is a PCIe 3.0 x2 interface on AIGC-Pi SBC. Its faster transmission speed enables you to bring your cooler creative ideas to life, such as, connect an M.2 SSD to give you super-fast data transfer and boot.
GPIO and the 40-pin header
The GPIO and 40-pin header is compatible with Raspberry Pi. That means, you can use off-the-shelf peripherals or Raspberry Pi HATs of the Pi ecosystem.
What's more!
Accessories
The compatible design makes it convenient for you to reuse many accessories from the Raspberry Pi ecosystem, such as power adapters and heat sinks. If you've previously designed products using a Raspberry Pi, perhaps after replacing it with an AIGC - Pi, you only need to make few modifications to make your products incredibly powerful.
Generative AI service
Run generative AI services right on the AIGC - Pi SBC in the comfort of your home to build your persional applications. This way, you can ensure the utmost security for all your private data, keeping it safe from potential external threats.
If you need to run larger models to achieve better performance, you can run multiple SBCs in parallel. (refer to https://github.com/b4rtaz/distributed-llama/discussions/162)
Model Farm
There are many models you can try on our AIGC-Pi SBC, including audio, NLP and Multimodal. We and our partners will provide an increasing number of interesting sample programs. For detailed info, please refer to
https://aiot.aidlux.com/en/models
Quadruped Robot
ROS SLAM and Navigation can both run on the robot with AIGC-Pi SBC.
NAS
Collect and manage all your pictures, music, video clips and documents.
Home Media Center:
- 家庭媒体中心:将树莓派 4B 连接到电视和音响系统,安装 Kodi 等媒体中心软件,就可以搭建一个家庭媒体中心,用来播放本地或网络上的视频、音乐、图片等媒体文件,还能通过插件扩展功能,如观看在线电视直播、电影点播等。
- 智能家居控制中心:利用树莓派 4B 的 GPIO 接口连接各种传感器(如温度、湿度、光照传感器)和控制设备(如继电器、智能开关),再结合相应的软件,可实现对家居设备的智能化控制和监测,比如自动控制灯光亮度、调节空调温度、远程控制家电开关等。
- 室外5G机器人控制:在机器人项目中,树莓派 4B 可作为控制核心,连接电机驱动板、传感器(如超声波传感器、红外传感器)等,实现机器人的自主导航、避障、目标跟踪等功能,常用于制作小型智能机器人、无人车等。
- 复古游戏主机:借助 RetroPie 等软件,树莓派 4B 能够模拟各种经典游戏机,如任天堂、索尼、世嘉等,用户可以通过连接手柄和电视,重温儿时的经典游戏。
- 区块链节点:由于树莓派 5 具备一定的计算能力和网络通信能力,可以作为区块链网络中的轻节点,参与区块链的交易验证、数据存储等操作,适合用于一些小型的区块链应用开发或测试环境。
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