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OrangePI
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Orange Pi 4A
Orange Pi 4A
Regular price
$83.00 USD
Regular price
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$83.00 USD
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Orange Pi 4A: A High-Performance, Cost-Effective Single-Board Computer
The Orange Pi 4A is a versatile single-board computer designed for developers, hobbyists, and tech enthusiasts seeking a powerful yet affordable platform for various applications.
Key Features:
- Robust Processor: Powered by the Allwinner T527 SoC, featuring an octa-core ARM Cortex-A55 CPU clocked at up to 1.8GHz, complemented by a RISC-V co-processor and a HiFi4 DSP for enhanced audio processing.
- AI Capabilities: Integrated 2 TOPS Neural Processing Unit (NPU) for efficient AI and machine learning tasks.
- Memory Options: Available in 2GB or 4GB LPDDR4/4X RAM configurations, catering to different performance needs.
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Flexible Storage Solutions:
- Supports optional eMMC modules ranging from 16GB to 128GB.
- Includes an M.2 M-Key socket for PCIe 2.0 NVMe SSDs.
- Equipped with a microSD card slot supporting up to 128GB cards.
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Comprehensive Connectivity:
- Gigabit Ethernet for high-speed wired networking.
- Wi-Fi 5.0 and Bluetooth 5.0 BLE via a 2-in-1 module for wireless communication.
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Multiple Display Interfaces:
- HDMI 2.0 output supporting up to 4K@60fps.
- 4-lane MIPI-DSI and eDP 1.3 interfaces for diverse display options.
- Camera Support: Features both 2-lane and 4-lane MIPI-CSI camera interfaces, enabling integration with various camera modules.
- USB Ports: Includes multiple USB 2.0 ports for peripheral connectivity.
- Expansion Header: A 40-pin GPIO header compatible with Raspberry Pi, supporting interfaces like GPIO, UART, I2C, SPI, and PWM for project flexibility.
- Audio Interface: 3.5mm headphone jack for audio input and output, suitable for multimedia applications.
- Operating System Compatibility: Supports Ubuntu, Debian, and Android 13, providing a wide range of development environments.
Applications:
The Orange Pi 4A is ideal for various applications, including:
- Smart home automation systems.
- DIY electronics and robotics projects.
- Media centers and streaming devices.
- IoT device development.
- AI and machine learning experiments.
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