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:
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Processor: Broadcom BCM2711, Quad-core Cortex-A72 (ARM v8) 64-bit SoC @ 1.5 GHz
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RAM: 8GB LPDDR4-3200 SDRAM
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GPU: Broadcom VideoCore VI
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Storage:
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microSD card slot (for OS and data storage)
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USB 3.0 for external drives (supports booting from USB)
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Optional: Network Attached Storage (NAS) via Ethernet or Wi-Fi
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USB Ports:
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2 × USB 3.0 ports
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2 × USB 2.0 ports
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Networking:
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Gigabit Ethernet (10/100/1000)
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802.11ac Wi-Fi (2.4 GHz and 5 GHz)
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Bluetooth 5.0
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Video Output:
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2 × micro-HDMI ports (supports up to two 4K displays)
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1 × 3.5mm audio jack (combined audio and video out)
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Power: 5V USB-C power supply (recommended 3A)
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GPIO: 40-pin header (compatible with HATs and accessories)
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Operating System: Runs a variety of OSes, including Raspberry Pi OS (formerly Raspbian), Ubuntu, and others.
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Other Ports:
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2 × micro-HDMI ports (supports dual 4K displays)
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CSI camera port (for connecting a Raspberry Pi Camera Module)
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DSI display port (for connecting an official Raspberry Pi touchscreen)
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Dimensions: 88mm x 58mm x 19.5mm
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Weight: 46g
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Advanced Desktop Computing: Run office applications, web browsing, and multitasking smoothly.
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Web Server: Host websites or web applications using Apache or Nginx.
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File Server (NAS): Set up a personal cloud or file storage server for local or remote access.
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Media Center: Stream movies, TV shows, and music using Kodi or Plex.
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AI & Machine Learning: Run AI models like facial recognition or object detection using Tensor Flow Lite.
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Virtualization: Run virtual machines or containers with Docker for testing or development.
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Home Automation: Control smart home devices and create automation routines with platforms like Home Assistant.
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Robotics: Control robots or drones with algorithms, using sensors and cameras for real-time decision-making.
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Data Science: Analyze datasets and run simulations using Python, Pandas, or Jupyter Notebooks.
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IoT Gateway: Collect and process data from IoT devices for smart cities, farms, or factories.
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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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