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Category: Raspberry Pi Compute Module
Raspberry Pi Compute Module: Powerful Capabilities in a Compact Form
Raspberry Pi Compute Module are advanced computing platforms that offer extraordinary possibilities for industrial, IoT, and educational projects. With their small size and high performance, they are the ideal choice for professionals and hobbyists seeking versatile solutions for their projects. You will find a wide range of products that meet your requirements, from basic models to the latest generations equipped with advanced features. Raspberry Pi Compute Modules, such as CM4, CM3+, or CM3 Lite, provide stability, performance, and flexibility in integrating with various systems.
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There are 181 products.
Advanced solution for efficient thermal management and airflow optimization in Compute Blade system that enables easy cluster scalability in limited 1U space. With a flexible 19-inch form factor that can accommodate up to 20 Compute Blades and 10 fan units, BladeRunner provides high compute density, reliability and ease of integration in large installations without the need for complex cooling and power systems. Uptime Industries BladeRunner-19
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Advanced solution for efficient thermal management and airflow optimization in Compute Blade system, enabling easy cluster scalability in limited space. With a flexible chassis that accommodates up to 4 Compute Blades and 2 fan units, BladeRunner provides high compute density, reliability and ease of integration in large installations without the need for complex cooling and power systems. Uptime Industries BladeRunner-4
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Raspberry Pi CM5104032 is an advanced Compute Module 5, equipped with a quad-core Broadcom BCM2712 processor (4 x Cortex-A76) running at 2.4 GHz, 4 GB of LPDDR4 RAM, 32 GB of built-in eMMC storage, and WiFi and Bluetooth connectivity modules. With its combination of high computational power, ample storage capacity, and wireless communication, this module is perfectly suited for IoT applications, industrial automation, and embedded systems.
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Raspberry Pi RPI COMPUTE MODULE module
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A set for building a minicomputer based on Raspberry Pi CM4. It consists of a display enclosed in a housing, a power supply and an antenna. Waveshare 13.3inch PiPad C4
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Raspberry Pi CM5002016 is a SoM (System-on-Module) equipped with a quad-core Broadcom BCM2712 SoC (4 x Cortex-A76) clocked at 2.4 GHz, providing high performance. The module features 2 GB of LPDDR4 RAM and 16 GB of built-in eMMC storage, offering a reliable platform for advanced IoT applications, automation, and embedded industrial systems.
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SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 2 GB LPDDR4 RAM, 8 GB eMMC and wireless connectivity. Raspberry Pi CM4102008
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SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 8 GB LPDDR4 RAM and 16 GB eMMC. Raspberry Pi CM4008016
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SoM Raspberry Pi CM4 Lite with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 8 GB LPDDR4 RAM. Raspberry Pi CM4008000
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SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 4 GB LPDDR4 RAM, 32 GB eMMC and wireless connectivity. Raspberry Pi CM4104032
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SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 4 GB LPDDR4 RAM, 16 GB eMMC and wireless connectivity. Raspberry Pi CM4104016
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SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 4 GB LPDDR4 RAM, 8 GB eMMC and wireless connectivity. Raspberry Pi CM4104008
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SoM Raspberry Pi CM4 Lite with quad-core SoC Broadcom BCM2711 (4 x Cortex-A72) working at 1.5 GHz clock speed, 4 GB LPDDR4 RAM memory and wireless connectivity. Raspberry Pi CM4104000
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SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 4 GB LPDDR4 RAM and 32 GB eMMC. Raspberry Pi CM4004032
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SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 4 GB LPDDR4 RAM and 16 GB eMMC. Raspberry Pi CM4004016
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SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 4 GB LPDDR4 RAM and 8 GB eMMC. Raspberry Pi CM4004008
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SoM Raspberry Pi CM4 Lite with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 4 GB LPDDR4 RAM. Raspberry Pi CM4004000
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SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 2 GB LPDDR4 RAM, 16 GB eMMC and wireless connectivity. Raspberry Pi CM4102016
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SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 2 GB LPDDR4 RAM and 32 GB eMMC. Raspberry Pi CM4002032
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SoM Raspberry Pi CM4 Lite with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 8 GB LPDDR4 RAM and wireless connectivity. Raspberry Pi CM4108000
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Versatility and Application
Raspberry Pi Compute Modules are designed with a wide range of applications in mind. With support for interfaces such as PCIe, USB, HDMI, and communication standards like Wi-Fi and Bluetooth, it is possible to create advanced IoT systems, industrial automation, and multimedia solutions. Models like the Raspberry Pi Compute Module 4 (CM4) offer even greater computing power, allowing them to meet the demands of the most advanced projects.
Technical Specifications
Raspberry Pi Compute Modules are distinguished by impressive technical specifications. For example, the Raspberry Pi Compute Module 4 is available in versions with different amounts of RAM (from 1GB to 8GB) and optional eMMC memory (from 8GB to 32GB). The quad-core ARM Cortex-A72 processor ensures excellent performance, and support for H.265 and H.264 technologies enables smooth playback of high-resolution video. With these features, Raspberry Pi Compute Modules can be used in complex AI applications and data analysis.
Technological Advancement
Raspberry Pi Compute Modules epitomize technological advancement. Models like the CM4 offer an integrated Wi-Fi and Bluetooth module, enabling wireless communication and easy integration into existing systems. Additionally, support for network booting and extensive expansion capabilities through GPIO and other interfaces make these modules extremely flexible. Thanks to the latest technology standards, Raspberry Pi Compute Modules provide a solid foundation for innovative projects.
Compatibility and Expansion
One of the key advantages of Raspberry Pi Compute Modules is their compatibility with various accessories and extensions. Numerous additional modules are available, such as expansion cards, power adapters, and specialized enclosures, allowing the full potential of these platforms to be utilized. Additionally, extensive documentation and community support make creating projects with Raspberry Pi Compute Modules simpler and more efficient. Raspberry Pi Compute Modules are indispensable tools for anyone seeking compact yet powerful computing solutions. With advanced features, versatility, and extensive technical support, they are the perfect choice for both professionals and technology enthusiasts. Discover how Raspberry Pi Compute Modules can revolutionize your projects.