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Merge pull request #877 from EESN-W/aicore-sg2300x
fix: modify aicore sg2300x to aicore series
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docs/common/dev/_nvme.mdx @nascs
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docs/aicore/ax-m1/text-to-image/sd15.md @vamrs-feng
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i18n/en/docusaurus-plugin-content-docs/current/cubie/a5e/download.md @peterwang2050
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i18n/en/docusaurus-plugin-content-docs/current/sophon/sg2300x/README.md @peterwang2050
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docs/aicore/sg2300x/hw-interface.md @peterwang2050

‎docs/aicore/README.md‎

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# 瑞莎智核系列
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# 智核系列
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瑞莎智核(AICore)系列是瑞莎推出的高性能、高算力和高性价比的 AI 加速模组。
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# AICore SG2300X 核心板
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# 瑞莎智核 SG2300X 核心板
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<Tabs queryString="target">
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<TabItem value="AICore SG2300X" label="AICore SG2300X 核心板">
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<TabItem value="瑞莎智核 SG2300X 核心板" label="瑞莎智核 SG2300X 核心板">
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## 产品介绍
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AICore SG2300X 是一款采用先进的 SOPHON AI 处理器 SG2300X 的核心板，可提供强大的性能。它最高可配备 16GB 内存，支持 128GB eMMC 存储。它拥有令人印象深刻的 32TOPS INT8 计算能力，在各种任务中表现出色，并完全支持主流深度学习框架。
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瑞莎智核 SG2300X 核心板是一款采用先进的 SOPHON AI 处理器 SG2300X 的核心板，可提供强大的性能。它最高可配备 16GB 内存，支持 128GB eMMC 存储。它拥有令人印象深刻的 32TOPS INT8 计算能力，在各种任务中表现出色，并完全支持主流深度学习框架。
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通过使用开放式 SDK 和全面的一体化人工智能开发包以及用户友好型工具链，您可以轻松部署和迁移算法，简化复杂的人工智能开发流程。这种多功能性跨越了安防、交通、零售和工业等领域，为您的项目提供了令人兴奋的可能性。
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AICore SG2300X 即可在 SOC 模式下工作 也可在 PCIe 模式下工作，即 AICore SG2300X 可用作 PCIe 从设备。
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瑞莎智核 SG2300X 核心板即可在 SOC 模式下工作 也可在 PCIe 模式下工作，即瑞莎智核 SG2300X 核心板可用作 PCIe 从设备。
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#### 实物照片
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![AICore SG2300X Overview](/img/aicore-sg2300x/mark_aicore_sg2300x.webp)
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![瑞莎智核 SG2300X 核心板](/img/aicore-sg2300x/mark_aicore_sg2300x.webp)
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#### 特性
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## 产品介绍
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Fogwise® AirBox 是一款基于 **AICore SG2300X核心板** 的嵌入式人工智能微型服务器，算力高达 32TOPS@INT8，支持多种精度（INT8、FP16/BF16、FP32），支持私有 GPT、文本到图像等多种主流人工智能模型部署，并配备铝合金外壳，可在恶劣环境中部署。
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Fogwise® AirBox 是一款基于 **AICore SG2300X 核心板** 的嵌入式人工智能微型服务器，算力高达 32TOPS@INT8，支持多种精度（INT8、FP16/BF16、FP32），支持私有 GPT、文本到图像等多种主流人工智能模型部署，并配备铝合金外壳，可在恶劣环境中部署。
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**这个介绍 Fogwise® AirBox 是为了方便介绍 AICore SG2300X 的功能。**
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‎i18n/en/docusaurus-plugin-content-docs/current/aicore/README.md‎

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# Radxa AICore Series
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# AICore Series
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The Radxa AICore Series is a high-performance, high-computing-power, and cost-effective AI acceleration module launched by Radxa.
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# Radxa AICore SG2300X
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<Tabs queryString="target">
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<TabItem value="Radxa AICore SG2300X" label="Radxa AICore SG2300X">
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## Products
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The Radxa AICore SG2300X is a core board featuring the advanced SOPHON AI processor SG2300X for powerful performance. It can be equipped with up to 16GB of RAM and supports 128GB of eMMC storage. With an impressive 32TOPS INT8 computing power, it excels in a variety of tasks and fully supports mainstream deep learning frameworks.
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With an open SDK and a comprehensive all-in-one AI development kit and user-friendly toolchain, you can easily deploy and migrate algorithms, simplifying the complex AI development process. This versatility spans the security, transportation, retail, and industrial sectors, opening up exciting possibilities for your projects.
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The Radxa AICore SG2300X operates in SOC mode as well as in PCIe mode, i.e. the Radxa AICore SG2300X can be used as a PCIe slave device.
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#### Photograph of sth.
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![Radxa AICore SG2300X Overview](/img/aicore-sg2300x/mark_aicore_sg2300x.webp)
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#### Features
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| Specification | Radxa AICore SG2300X |
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| :---------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| **sizes** | 55 mm × 60 mm |
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| **processing unit** | SOPHON SG2300X SoC，octa-core Arm® Cortex®-A53 (ARMv8) @ 2.3GHz. |
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| **tensor processing unit** | Tensor Processing Unit Computing Power: Up to 32TOPS (INT8), 16TFLOPS (FP16/BF16) and 2TFLOPS (FP32)<br/>Support for major deep learning frameworks including TensorFlow, Caffe, PyTorch, Paddle, ONNX, MXNet, Tengine and DarkNet. |
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| **memory** | Supports 16GB LPDDR4X memory.option |
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| **storage** | Supports 32GB, 64GB, and 128GB eMMC storage options<br/>Built-in 16MB of SPI flash memory<br/>Supports SDMMC interface with SD card for data storage and operating system booting. |
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| **multimedia** | Supports decoding 32 channels of H.265/H.264 1080p@25fps video <br/>Fully process 32 channels of HD 1080p@25fps video, including decoding and AI analysis<br/> Supports encoding 12 channels of H.265/H.264 1080p@25fps video<br/>JPEG: 1080p@600fps, max. Support 32768 x 32768 <br/>Support video post-processing, including image CSC, resize, crop, fill, border, font, contrast and brightness adjustment. |
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| **connectivity** | 2 built-in Gigabit Ethernet PHYs <br/> 1 PCIe3.0 X4 RC <br/> 1 PCIe3.0 X4 EP <br/> up to 3 UARTs <br/> up to 2 PWMs <br/> up to 3 I2Cs <br/> up to 32 GPIOs. |
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| **Board-to-Board Connectors** | 144P 0.5mm Pitch B2B Connectors |
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| **operating temperature** | -20°C to 60°C |
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### Chip block diagram
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![SG2300X Block Diagram](/img/aicore-sg2300x/sg2300x-block-diagram.webp)
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</TabItem>
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<TabItem value=" Fogwise® AirBox" label=" Fogwise® AirBox">
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## Products
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Fogwise® AirBox is an embedded AI micro-server with arithmetic power up to 32TOPS@INT8, supports multiple precision (INT8, FP16/BF16, FP32), supports private GPT, text-to-image, and other mainstream AI model deployments, and is equipped with an aluminum alloy casing for deployment in harsh environments.
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#### Characterization
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| module | Fogwise® AirBox |
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| :------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| **sizes** | 104 mm × 84 mm × 50.2 mm |
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| **processing unit** | SOPHON SG2300X SoC，octa-core Arm® Cortex®-A53 (ARMv8) @ 2.3GHz |
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| **tensor processing unit** | Tensor Processing Unit, computational power: up to 32TOPS (INT8), 16TFLOPS (FP16/BF16) and 2TFLOPS (FP32)<br/>Support for major deep learning frameworks including TensorFlow, Caffe, PyTorch, Paddle, ONNX, MXNet, Tengine and DarkNet. |
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| **memory** | 16GB LPDDR4X |
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| **storage** | 64GB eMMC<br/>16MB SPI Flash<br/>High Speed SD Card Slot Available |
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| **multimedia** | Supports decoding 32 channels of H.265/H.264 1080p@25fps video<br/>Fully handles 32 channels of HD 1080p@25fps video, including decoding and AI analytics<br/>Supports encoding 12 channels of H.265/H.264 1080p@25fps video <br/>JPEG: 1080p@600fps, max. Support 32768 x 32768<br/>Support video post-processing, including image CSC, resize, crop, fill, border, font, contrast and brightness adjustment |
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| **interface** | 2 Gigabit Ethernet ports (RJ45)<br/>1 M.2 M-key slot for NVMe SSDs. |
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| **operating temperature** | 0°C to 40°C |
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| **housings** | Corrosion-resistant aluminum alloy housing |
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| **radiator** | PWM speed control fan with custom heat sink |
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#### Photograph of sth.
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![Fogwise® AirBox Overview](/img/airbox/radxa_fogwise_airbox.webp)
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### Chip block diagram
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![SG2300X Block Diagram](/img/aicore-sg2300x/sg2300x-block-diagram.webp)
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### System block diagram
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![Fogwise® AirBox Block Diagram](/img/airbox/airbox-block-diagram.webp)
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</TabItem>
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‎i18n/en/docusaurus-plugin-content-docs/current/aicore/sg2300x/download.md‎

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title: Resource Download
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### Image download
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### hardware design
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### quality certification

‎i18n/en/docusaurus-plugin-content-docs/current/aicore/sg2300x/hw-interface.md‎

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# Hardware Interface Description
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## Interface Overview
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![](/img/aicore-sg2300x/mark_aicore_sg2300x.webp)
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## network card
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The core board has two NICs, eth0 is DHCP by default, eth1 is set to static IP by default: 192.168.150.1.
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## 144pin BTB connector
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The Radxa AICore SG2300X provides 3 groups of UARTs on the 144pin BTB interface, of which UART0 has been used as the console port for bootloader and Linux;
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1 group of I2C masters, corresponding to the device node /dev/i2c-2;
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1 PWM output pin, corresponding to PWM0;
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1 fan speed input pin.

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