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Orange Pi 4A

Orange Pi 4A

Regular price $83.00 USD
Regular price Sale price $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.
  • 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.
  • 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.
  • 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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