Mechanical keyboard module with LED backlight, encoder and display. Based on the RP2040 microcontroller. Adafruit 5100

The Compute Module 4 IO Board is a companion board for Raspberry Pi Compute Module 4 (supplied separately). It is designed for use both as a development system for Compute Module 4 and as an embedded board integrated into end products.

Aluminum case for minicomputer Raspberry Pi 4 model B, black color

Raspberry Pi CM5116016 is a versatile Compute Module 5, equipped with a quad-core Broadcom BCM2712 processor (4 x Cortex-A76) running at 2.4 GHz, 16 GB of LPDDR4 RAM, 16 GB of built-in eMMC storage, and WiFi and Bluetooth connectivity modules. With its performance, ample RAM and storage, and support for wireless communication, this module is an ideal solution for advanced IoT applications, embedded systems, and industrial automation.

In an environment of 25℃, the ED-Pi4PCOOLER can lower the temperature of the Raspberry Pi 4 by approximately 15℃. This enables the Raspberry Pi 4 CPU to maintain its maximum operating frequency of 1800MHz continuously.

Mini camera module with IMX477 HQ sensor designed for Raspberry Pi. Equipped with a lens with an M12 mount with a viewing angle of 75°. ArduCAM B0262

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-mounting capability, 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. BladeTPM-V1-0

The IMX296 1.58MP camera module with Global Shutter eliminates motion-related image distortion, making it ideal for dynamic applications like machine vision and AI systems. The camera features an M12 lens with a 45° field of view and manual focus, and supports RAW10 format and 1440x1080 video recording at 60 frames per second. Compatible with the Raspberry Pi and working with the libcamera and Picamera2 libraries, it\'s easy to integrate thanks to the included FPC ribbon cables and compact design. ArduCAM B0445

A camera module based on the Sony IMX519 sensor, offering high-quality image and video at up to 16 MPx resolution. With a wide-angle M12 lens (122° FOV) and manual focus, it\'s ideal for projects like drones, robotics, surveillance, and Raspberry Pi-based vision systems. The camera supports 1080p@30fps and 720p@60fps recording, making it a great solution for real-time image transmission and analysis. ArduCAM B0449

The camera module equipped with a modern Sony IMX708 sensor with a resolution of 11.9 MP, offers high quality photos and videos in Full HD resolution, ideally suited to demanding lighting conditions thanks to the HDR mode. The built-in lens offers a viewing angle of 75°. With an advanced autofocus system, a built-in IR-cut filter and full compatibility with the libcamera and Picamera2 libraries, the module is a versatile solution for applications in nature photography, monitoring and AI projects. ArduCAM B0312

Module with OV5647 sensor working with Raspberry Pi. It uses a built-in motorized IR-CUT filter that is turned on and off automatically depending on the lighting conditions. ArduCAM B003504

SoM Raspberry Pi CM4 Lite with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 1 GB LPDDR4 RAM and wireless connectivity. Raspberry Pi CM4101000

Camera module with OV5647 sensor and movable lens with software-controlled focus. Works with Raspberry Pi. The camera is equipped with a matrix with a resolution of 5 MPx. ArduCAM B0176

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

The GPIO Expander HAT for Raspberry Pi is a versatile solution that allows multiple modules to be connected simultaneously to the same GPIO lines. With clear labeling and compatibility with popular Raspberry Pi models, the HAT is suitable for educational projects, electronic circuit prototyping, and complex system integration. It is ideal wherever there is a need to duplicate pinouts without limiting access to the Raspberry Pi’s ports.

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

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

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

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

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