- Robust Computing Performance: Users can accomplish heavy computing tasks because of the dual USB 3.0 ports, 2k display, and quad core processor features.
- Seamless Networking: Gigabit Ethernet, Bluetooth 5.0, and dual-band Wi-Fi provides seamless networking comprehensibility with multi-directional advancements.
- Project Support Flexibility: Different projects are executed from 2 GB to 8 GB of RAM.Â
- Multimedia Support: Provides support for dual monitor display output on 2 micro HDMI ports with up to 4k resolution.Â
- Endless possibilities: Best effective outcomes for IoT, robotics, AI, programming, media centers, and much more.
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Raspberry Pi 4 Model B with 4 GB RAM Single-board Computer Model Designed for High-Level Performance Capabilities
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Categories: Development Boards, Electronic Parts and Modules
Description
Specifications
| Specification | Details |
|---|---|
| Wired Networking | Supported |
| MicroSD | Supports a wide range of Linux-based operating systems, including Raspberry Pi OS |
| GPIO (General Purpose Input Output) | Available |
| USB | Enhanced USB 3.0 ports for high-speed data transfer |
| Stereo | 3.5mm stereo audio and composite video output |
| Power | 5V/3A via USB-C connector |
| Storage | MicroSD card slot for operating system and data storage |
| Display | Dual 4K display support for advanced multimedia applications |
| Dimensions (mm) | 85.6 x 56.5 mm |
Features
- Package: Broadcom BCM2711, quad-core Cortex-A72 (ARM v8) 64-bit SoC @ 1.5GHz
- Heat sink or official Raspberry Pi caseÂ
- DIY desktop computer and programming workstationÂ
- 40-pin GPIO header (backward compatible with previous Raspberry Pi boards)Â
- USB Port: 2x USB 3.0, 2x USB 2.0Â
- 4K video decode for H.265 (HEVC)Â
- Increased thermal performance with optional expansion case with fan or heat sink.Â
- Gigabit EthernetÂ
- Bluetooth 5.0, BLEÂ
- 2.4GHz/5.0GHz IEEE 802.11b/g/n/ac wireless LANÂ
- Raspberry Pi 4 Model B (2GB, 4GB, or 8GB RAM), Preloaded microSD with Raspberry Pi OS.
Applications
- Edge computing incorporates AI and machine learning.Â
- Internet of Things (IoT) and home automation systems.Â
- Robots and development of embedded systems.Â
- HD Media centers and other video streaming devices. Â
- Learning tools for coding and hardware interaction.
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