List of products by brand Raspberry Pi

Raspberry Pi Compute Module 3+ Lite (CM3 +) is a SoM module containing key elements of the Raspberry Pi 3 A + / Raspberry Pi 3 B + computer, including Broadcom BCM2837B0 processor, 1 GB RAM (LPDDR2). The module is equipped with a 200-pin SODIMM connector.

Raspberry Pi Compute Module 3+ (CM3 +) is a SoM module containing key elements of the Raspberry Pi 3 A + / B + computer, including Broadcom BCM2837B0 processor, 1 GB RAM, 8 GB eMMC memory. The module is equipped with a 200-pin SODIMM connector.

Raspberry Pi Compute Module 3+ (CM3 +) is a SoM module containing key elements of the Raspberry Pi 3 A + / B + computer, including Broadcom BCM2837B0 processor, 1 GB RAM memory, 32 GB eMMC memory. The module is equipped with a 200-pin SODIMM connector.

Kit with Raspberry Pi 4 minicomputer, model B 1 GB RAM. The set also includes an official keyboard, mouse, 5.1 V (3 A) power supply, official case (white-raspberry), two official microHDMI cables, 16 GB memory card with NOOBS software and a guide.

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.

SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 1 GB LPDDR4 RAM, 16 GB eMMC and wireless connectivity. Raspberry Pi CM4101016

Raspberry Pi computer built into the keyboard. It is equipped with a 1.8 GHz quad-core ARM Cortex-A72 processor and 4 GB DRAM. British keyboard layout. Raspberry Pi 400 UK

SoM Raspberry Pi CM4 Lite with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 2 GB LPDDR4 RAM. Raspberry Pi CM4002000

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

SoM Raspberry Pi CM4 Lite with quad-core SoC Broadcom BCM2711 (4 x Cortex-A72) operating at 1.5 GHz clock speed, 2 GB LPDDR4 RAM memory and wireless connectivity. Raspberry Pi CM4102000

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

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

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

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

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

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

SoM Raspberry Pi CM4 with the SoC Broadcom BCM2711 SoC (4 x Cortex-A72) running at 1.5 GHz, 8 GB LPDDR4 RAM and 32 GB eMMC. Raspberry Pi CM4008032

SoM Raspberry Pi CM4 with quad-core SoC Broadcom BCM2711 (4 x Cortex-A72) working at 1.5 GHz clock, LPDDR4 RAM memory with a capacity of 8 GB, eMMC memory with a capacity of 32 GB and wireless connectivity. Raspberry Pi CM4108032

Miniature version of the Raspberry Pi computer equipped with SiP BCM2710A1 - 4x ARM Cortex-A53 1GHz twin with Raspberry Pi 3 and 512 MB of RAM and wireless connectivity WiFi 802.11 b / g / n + Bluetooth 4.2 / BLE. Version with soldered 40-pin connector

A kit consisting of an M.2 HAT+ module and a Hailo-8L accelerator with a performance of 13 TOPS enables the rapid development of advanced real-time AI applications on the Raspberry Pi 5. This setup allows neural networks for object detection and segmentation to run on the Hailo-8L coprocessor, leaving the Raspberry Pi 5 CPU available for other tasks. The foundation has also prepared rpicam-apps libraries that significantly facilitate the creation of AI projects. Raspberry Pi SC1438