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Compute Module ALLNET Radxa CM3 Model A con 8 GB RAM y 32 GB eMMC

Compute Module ALLNET Radxa CM3 Model A con 8 GB RAM y 32 GB eMMC
Compute Module ALLNET Radxa CM3 Model A con 8 GB RAM y 32 GB eMMC
Compute Module ALLNET Radxa CM3 Model A con 8 GB RAM y 32 GB eMMC
Compute Module ALLNET Radxa CM3 Model A con 8 GB RAM y 32 GB eMMC
Compute Module ALLNET Radxa CM3 Model A con 8 GB RAM y 32 GB eMMC
Compute Module ALLNET Radxa CM3 Model A con 8 GB RAM y 32 GB eMMC
169,18 €
Compute Module ALLNET Radxa CM3 Model A with 8GB RAM and 32GB eMMC is a compact system-on-module intended for embedded applications and custom hardware projects. The module integrates 8GB of volatile memory and 32GB of onboard eMMC non-volatile storage to support operating systems, application data,... Leer más
Stock 12 Código 121929 Marca ALLNET Modelo RM116-D8E32W2 Garantía 2 años

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Entrega estimada Lunes, Octubre 19
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Compute Module ALLNET Radxa CM3 Model A with 8GB RAM and 32GB eMMC is a compact system-on-module intended for embedded applications and custom hardware projects. The module integrates 8GB of volatile memory and 32GB of onboard eMMC non-volatile storage to support operating systems, application data, and firmware. Its small form factor simplifies integration into carrier boards for industrial controllers, IoT gateways, digital signage, robotics and other space-constrained designs.

Advantages

The module combines a high-density memory configuration and onboard persistent storage to eliminate the need for external flash in many designs, reducing BOM complexity. Its compact footprint and standard pinout support faster prototyping and easier carrier-board design. Onboard eMMC offers reliable storage with wear-leveling compared to removable SD solutions. The module’s configuration allows deterministic memory access and consistent performance for embedded workloads.

Suitable for (tasks / use cases)

  • Industrial controllers and automation systems
  • IoT gateways and edge computing devices
  • Digital signage and media playback appliances
  • Robotics and machine vision prototypes
  • Custom embedded products and rapid prototyping

Key specifications

  • System memory: 8GB RAM
  • Onboard storage: 32GB eMMC
  • Form factor: compact compute module designed for carrier-board integration
  • Intended use: embedded and custom hardware applications
  • Persistent storage type: embedded MultiMediaCard (eMMC)

How to use

Integrate the compute module onto a compatible carrier board following the carrier manufacturer’s mechanical and electrical design guidelines. Prepare an operating system image suitable for the module and write it to the onboard eMMC using supported flashing tools. Connect required peripherals such as power, network, display, and I/O through the carrier board interfaces. For development, use serial console access and standard debugging tools to validate boot, drivers, and application software. Observe board and module documentation for correct power sequencing and signal routing.

Recommendations

For reliable operation, ensure adequate cooling and follow the carrier board’s layout recommendations. Use an operating system image that supports eMMC and the module’s hardware features. Maintain firmware and OS updates to address security and stability. For long-term storage integrity, consider periodic backups of critical data from the onboard eMMC.

Aspectos destacados
  • Industrial controllers and automation systems
  • IoT gateways and edge computing devices
  • Digital signage and media playback appliances
  • Robotics and machine vision prototypes
  • Custom embedded products and rapid prototyping
  • System memory: 8GB RAM
  • Onboard storage: 32GB eMMC
  • Form factor: compact compute module designed for carrier-board integration
  • Intended use: embedded and custom hardware applications
  • Persistent storage type: embedded MultiMediaCard (eMMC)
Historial de precios de los últimos 6 meses
Compute Module ALLNET Radxa CM3 Model A con 8 GB RAM y 32 GB eMMC
Actual
169,18 €
Mínimo
167,90 €
Máximo
191,18 €
Variación 24 h
+0,65 €   +0%
Semana
+0,38 €   +0%
Mes
+0,63 €   +0%

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