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Quad-core SBC BeagleV®
RISCLinuxYocto

Quad-core SBC - BeagleV® - Seeed Studio - RISC / Linux / Yocto
Quad-core SBC - BeagleV® - Seeed Studio - RISC / Linux / Yocto
Quad-core SBC - BeagleV® - Seeed Studio - RISC / Linux / Yocto - image - 2
Quad-core SBC - BeagleV® - Seeed Studio - RISC / Linux / Yocto - image - 3
Quad-core SBC - BeagleV® - Seeed Studio - RISC / Linux / Yocto - image - 4
Quad-core SBC - BeagleV® - Seeed Studio - RISC / Linux / Yocto - image - 5
Quad-core SBC - BeagleV® - Seeed Studio - RISC / Linux / Yocto - image - 6
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Characteristics

Processor
quad-core, RISC
Operating system
Linux, Yocto
Connectivity
gigabit Ethernet, WiFi, Bluetooth, HDMI
Memory
LPDDR4
Other characteristics
embedded
Memory size

4 GB

Description

BeagleV® is an advanced single-board computer with a powerful RISC-V processor IP, AI acceleration, hybrid network connection, and a wide range of interfaces. It supports multiple operating systems and is ideal for both complex AI systems and simple embedded projects. Feature Open-source and Advanced RISC-V Single Board Computer: Powered by TH1520 RISC-V quad-core Xuantie C910 processor IP operating at up to 1.85GHz Significant AI Acceleration: Offer 4 TOPS NPU @ INT8 1GHz computing power, support Tensor Flow, ONNX, Caffe framework Hybrid Network Connection: Integrate with 2.4G Wi-Fi & Bluetooth 5.2 wireless connection and provide 1 Gigabit Ethernet network interface Rich Extensions and Interfaces: Equip mikroBUS™ uniform connection, provide 2x CSI, 1x HDMI, 1x DSI media ports, 2x 46pin BeagleBone® Header, 1x microSD, and 1x microUSB 3.0 Multiple OS Support: Support Yocto, and Linux distribution such as Ubuntu and Fedora (in development) Description BeagleV® - Ahead is the state-of-the-art single-board computer, powered by the advanced TH1520 RISC-V quad-core Xuantie C910 processor IP, capable of operating at up to 1.85GHz. This board is designed for high-performance computing and offers significant AI acceleration with its 4 TOPS NPU @ INT8 1GHz computing power. It supports popular AI frameworks such as TensorFlow, ONNX, and Caffe. The board is equipped with a hybrid network connection, integrating 2.4G Wi-Fi and Bluetooth 5.2 wireless technology, and also providing a 1 Gigabit Ethernet network interface. It can offer mobility and flexibility of the scene, while also providing stability and security scenarios.

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