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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.
Subcategories
There are 172 products.
SoM Raspberry Pi CM4 Lite with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 1 GB LPDDR4 RAM. Raspberry Pi CM4001000
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
SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 1 GB LPDDR4 RAM and 32 GB eMMC. Raspberry Pi CM4001032
Miniature camera module with OV5647 5MP sensor dedicated to Raspberry Pi Zero and Compute Module. Equipped with a lens with a viewing angle of 120°. ArduCAM B006604
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
Base board prepared for Raspberry Pi CM4 modules. It integrates the PoE circuit, it is equipped with connectors for all available interfaces, additionally on the board there is a RTC system and a fan connector. Waveshare Compute Module 4 PoE Board (B)
Raspberry Pi CM5016032 is an advanced Compute Module 5, equipped with a quad-core Broadcom BCM2712 processor (4 x Cortex-A76) clocked at 2.4 GHz, 16 GB of LPDDR4 RAM, and 32 GB of built-in eMMC storage. This module combines impressive computational power with ample storage, making it an ideal solution for the most demanding IoT projects, industrial automation, and embedded systems.
Raspberry Pi CM5016064 is a top-of-the-line Compute Module 5, equipped with a quad-core Broadcom BCM2712 processor (4 x Cortex-A76) clocked at 2.4 GHz, 16 GB of LPDDR4 RAM, and 64 GB of built-in eMMC storage. This module offers unparalleled performance and ample data storage, making it ideally suited for the most demanding IoT applications, embedded systems, and industrial automation.
No product available!
Raspberry Pi CM5002000 is a high-performance SoM (System-on-Module) equipped with a quad-core Broadcom BCM2712 processor (4 x Cortex-A76) running at 2.4 GHz, along with 2 GB of LPDDR4 RAM. This compact module is perfectly suited for IoT applications, automation, and embedded systems, offering an excellent balance between computational power and energy efficiency.
No product available!
Raspberry Pi CM5104064 is a top-tier 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, 64 GB of built-in eMMC storage, and WiFi and Bluetooth connectivity modules. This module combines performance, large storage capacity, and advanced wireless communication, making it an ideal solution for demanding IoT projects, embedded systems, and industrial applications.
No product available!
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
No product available!
The STA Fan Unit is a compact and efficient cooling solution designed to support the cooling of the Uptime Industries Compute Blade platform. With a high-quality Noctua NF-A4x20 5V PWM fan, it ensures reliability and stability in intensive working conditions, while offering simple installation and power supply without additional cabling. Uptime Industries FanSTA-1V1-0
No product available!
Cooling module designed to provide efficient cooling for the Uptime Industries Compute Blade platform, especially in the case of heavy workloads and 24/7 operation. Thanks to the advanced cooling system, RP2040 microcontroller and temperature sensors, the device guarantees stable operation and eliminates the risk of overheating, and also allows for flexible adjustment of the work logic and seamless integration with the Compute Blade. Uptime Industries FanSMART-1V1-0
No product available!
PoE HAT (H) is a high-efficiency power supply add-on for Raspberry Pi 5 and Compute Module 5, enabling data transmission and power delivery over a single Ethernet cable in accordance with the IEEE 802.3af/at standard. Thanks to the use of an isolated switching converter and compatibility with the official enclosure, it is suitable for stable and compact integration in network, automation, and remote device management projects.
No product available!
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
No product available!
Raspberry Pi CM5104016 is a versatile 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, 16 GB of built-in eMMC storage, and WiFi and Bluetooth connectivity modules. This module combines high performance with wireless communication, making it an ideal solution for IoT applications, embedded systems, and industrial automation.
No product available!
CM5-PoE-BASE-A is a functional base board for the Raspberry Pi Compute Module 5, equipped with PoE power supply and a rich set of peripheral interfaces. With support for NVMe drives, MIPI cameras and displays, and two HDMI ports, it is well-suited for industrial projects, AI systems, and multimedia solutions. Ideal for prototyping and integration into finished products.
No product available!
Raspberry Pi CM5104000 is a compact Lite version of the 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, and WiFi and Bluetooth connectivity modules. The module offers flexibility in storage options along with performance and wireless connectivity, making it an ideal choice for IoT applications, embedded systems, and automation requiring mobility and computational power.
No product available!
Advanced carrier board compatible with Raspberry Pi Compute Module 5 (CM5) and Compute Module 4 (CM4), offering support for modules in high-performance and energy-efficient servers. With PoE power supply, rack-mountability, and support for up to 20 units in a 1U space, it allows for scaling performance to 80 ARM cores, 160 GB RAM, and 10 TB NVMe storage, meeting needs from IoT projects to advanced cloud systems. BladeBasic-V1-0
No product available!
Raspberry Pi CM5108032 is a high-performance Compute Module 5, equipped with a quad-core Broadcom BCM2712 processor (4 x Cortex-A76) running at 2.4 GHz, 8 GB of LPDDR4 RAM, 32 GB of built-in eMMC storage, and WiFi and Bluetooth connectivity modules. This module offers a combination of high computational power, ample storage capacity, and advanced wireless communication, making it an ideal solution for demanding IoT projects, automation, and embedded systems.
No product available!
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.