Raspberry Pi CM4 Compute Module 4 - 8GB RAM + 32GB eMMC + WiFi/Bluetooth - CM4108032

Бестселлер
47769440
62 358 AMD
  • Бренд Raspberry Pi
  • Доставка из Польши
  • Курьер DHL 3 июня
  • Стоимость доставки заказа в Армению от 72 082 AMD

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Характеристики

UC - I2C
yes
UC - WiFi
yes
UC - UART
yes
Интерфейс UC - SPI
yes

Общие характеристики

UC - Внешняя память
eMMC 32GB
UC - оперативная память
8 ГБ

Прочие свойства

Бренд
Raspberry Pi

Описание

Product description: Raspberry Pi CM4 Compute Module 4 - 8 GB RAM + 32 GB eMMC + WiFi / Bluetooth - CM4108032

Raspberry Pi CM4is a miniaturized version ofRaspberry Pi 4Bminicomputer. The module has classic Raspberry capabilities with interfaces terminated with two multi-pin connectors compatible with CM4IO Board sockets. The board is based onBroadcom BCM2711processor with8 GB RAMand32 GB eMMC memory. The module is equipped withWiFi / Bluetoothwireless communication and U.FL connector, which allows you to mount an external antenna. Compute modules are designed for industrial applications, they are not equipped with USB, HDMI, etc. connectors.

Attention!

The minimum order quantity for this product is 200 pieces.

Raspberry Pi Compute Module 4.

CM4 module mounted on aCM4IOboard.

Specification CM4 Compute Module
  • CPU: Broadcom BCM2711 / 1.5 GHz
  • The core: ARM Cortex A72 / 64-bit
  • Power supply: 5 V
  • Interfaces:
    • Gigabit Ethernet
    • 1x USB 2.0
    • 28 GPIO
    • microSD / eMMC memory cards (for versions without built-in memory)
    • dual HDMI
    • 2-line DSI MIPI for the screen
    • 2-line MIPI CSI for camera
    • 4-line DSI MIPI for the screen
    • 4-line MIPI CSI for camera
  • RAM: 8 GB
  • eMMC memory: 32 GB
  • Communication: WiFi / Bluetooth
  • WiFi antenna: built-in (additional U.FL connector for connecting an external antenna)
  • Ethernet: 1000 Mbps
  • Connector: 2x 104 pin
  • Dimensions: 55 x 40 mm

In our offer you will also findRaspberry Pi CM4 in other configurations.

The module's design allows it to be used wherever a large version would be impossible to use by its dimensions. Most often used in multi-module clusters.

Useful links
  • Raspberry Pi project website
  • Product card
  • Documentation