Description

Raspberry Pi 4B 8GB Specifications:

The Raspberry Pi 4 Model B with 8GB RAM is the most powerful variant of the Raspberry Pi 4 series. This version comes with enhanced memory, making it even more capable of handling demanding applications, particularly in professional, industrial, and research setting

Key Specifications:

  • Processor: Broadcom BCM2711, Quad-core Cortex-A72 (ARM v8) 64-bit SoC @ 1.5 GHz

  • RAM: 8GB LPDDR4-3200 SDRAM

  • GPU: Broadcom VideoCore VI

  • Storage:

    • microSD card slot (for OS and data storage)

    • USB 3.0 for external drives (supports booting from USB)

    • Optional: Network Attached Storage (NAS) via Ethernet or Wi-Fi

  • USB Ports:

    • 2 × USB 3.0 ports

    • 2 × USB 2.0 ports

  • Networking:

    • Gigabit Ethernet (10/100/1000)

    • 802.11ac Wi-Fi (2.4 GHz and 5 GHz)

    • Bluetooth 5.0

  • Video Output:

    • 2 × micro-HDMI ports (supports up to two 4K displays)

    • 1 × 3.5mm audio jack (combined audio and video out)

  • Power: 5V USB-C power supply (recommended 3A)

  • GPIO: 40-pin header (compatible with HATs and accessories)

  • Operating System: Runs a variety of OSes, including Raspberry Pi OS (formerly Raspbian), Ubuntu, and others.

  • Other Ports:

    • 2 × micro-HDMI ports (supports dual 4K displays)

    • CSI camera port (for connecting a Raspberry Pi Camera Module)

    • DSI display port (for connecting an official Raspberry Pi touchscreen)

  • Dimensions: 88mm x 58mm x 19.5mm

  • Weight: 46g

    • Advanced Desktop Computing: Run office applications, web browsing, and multitasking smoothly.

    • Web Server: Host websites or web applications using Apache or Nginx.

    • File Server (NAS): Set up a personal cloud or file storage server for local or remote access.

    • Media Center: Stream movies, TV shows, and music using Kodi or Plex.

    • AI & Machine Learning: Run AI models like facial recognition or object detection using Tensor Flow Lite.

    • Virtualization: Run virtual machines or containers with Docker for testing or development.

    • Home Automation: Control smart home devices and create automation routines with platforms like Home Assistant.

    • Robotics: Control robots or drones with algorithms, using sensors and cameras for real-time decision-making.

    • Data Science: Analyze datasets and run simulations using Python, Pandas, or Jupyter Notebooks.

    • IoT Gateway: Collect and process data from IoT devices for smart cities, farms, or factories.

    • Network Monitoring: Monitor and manage network traffic with tools like Pi-hole or Nagios

    • Install OS from this Link
    • https://www.raspberrypi.com/software/
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