Arm Embedded Board with RK3588 CPU: 4+32G, 8+64G, and 16+128G
The Arm Embedded Board with the RK3588 CPU is a powerful and versatile solution for various embedded applications. Whether you’re working on AI, IoT, or advanced multimedia projects, this board offers the performance and features you need.
Key Specifications:
CPU: RK3588, Quad-core A76 + Quad-core A55, up to 2.4GHz
GPU: ARM Mali-G610 MP4, supporting OpenGL ES3.2 / OpenCL 2.2 / Vulkan1.1, with 450 GFLOPS
NPU: 6.0TOPS, supporting INT4/INT8/INT16, compatible with TensorFlow, Caffe, MXNet, PyTorch
Interfaces: 2x 1000M Ethernet, WIFI6, BT5.0, 4G/5G, 3x HDMI out, 1x HDMI in, 1x DP, 1x LVDS, 1x type-c, 3x USB3.0, 6x CSI, SATA, M2 SSD, SD card, I2C, UART, GPIO
Special Features: Multi-display support, multi-camera input, 2x mini-PCIe computation card expansion for 6.0T computing power
OS Support: Android, Ubuntu, Buildroot, Debian
Storage Options: 4+32G, 8+64G, 16+128G
Dimensions: 160(L) x 115(W) x 28.25(H)mm
Choosing the Right Storage Option for Your Arm Embedded Board
When selecting an Arm Embedded Board, one of the crucial decisions is choosing the right storage option. The RK3588 board offers three storage configurations: 4+32G, 8+64G, and 16+128G. But how do you decide which one fits your needs best?
4+32G: Ideal for lightweight applications and projects with minimal storage requirements. This option provides enough space for basic tasks and smaller-scale projects.
8+64G: A balanced choice for most applications. It offers a good amount of storage for medium-sized projects, including IoT applications and basic AI tasks.
16+128G: Best for demanding applications that require extensive storage. This configuration is perfect for advanced AI, multimedia processing, and large-scale projects.
Choosing the right storage option ensures that your board can handle your project’s requirements efficiently without running into performance bottlenecks.
Connectivity and Interface Options
One of the standout features of the Arm Embedded Board is its extensive connectivity and interface options. This makes it suitable for a wide range of applications, from IoT and AI to multimedia and industrial automation.
Ethernet and Wireless Connectivity: With 2x 1000M Ethernet ports and support for WIFI6 and BT5.0, this board ensures robust and high-speed network connectivity. Additionally, it supports 4G/5G connectivity for mobile applications.
Display Interfaces: The board features 3x HDMI out, 1x HDMI in, 1x DP, and 1x LVDS, making it perfect for multi-display setups. Whether you need to connect multiple monitors or integrate with advanced display systems, this board has you covered.
USB and Expansion Slots: With 3x USB3.0 ports, 6x CSI, SATA, M2 SSD, SD card slots, and dual mini-PCIe slots, the board offers extensive expandability. This allows you to connect a variety of peripherals and storage devices to enhance your project’s capabilities.
These connectivity options ensure that your Arm Embedded Board can integrate seamlessly with various systems and devices, providing flexibility and versatility.
Running AI and Multimedia Applications
The Arm Embedded Board is designed to handle demanding AI and multimedia applications with ease. Thanks to its powerful CPU, GPU, and NPU, it offers exceptional performance for processing complex tasks.
AI Processing with NPU: The 6.0TOPS NPU supports various AI frameworks, including TensorFlow, Caffe, MXNet, and PyTorch. This enables efficient execution of AI algorithms, making the board suitable for projects involving machine learning, computer vision, and data analytics.
Graphics and Multimedia: The ARM Mali-G610 MP4 GPU delivers superior graphics performance, supporting OpenGL ES3.2, OpenCL 2.2, and Vulkan1.1. This makes it ideal for multimedia applications such as gaming, AR/VR, and video processing.
Multi-Camera Input: With support for up to 6 camera inputs, this board is perfect for surveillance, automotive, and industrial applications requiring real-time video processing.
These features make the Arm Embedded Board an excellent choice for developers working on cutting-edge AI and multimedia projects.
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