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Raspberry Pi Compute Module 5 (CM5104016) - BCM2712, 4GB RAM, 16GB eMMC

Raspberry Pi Compute Module 5 (CM5104016) - BCM2712, 4GB RAM, 16GB eMMC

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Regular price 449,00 PLN
Regular price 449,00 PLN Sale price
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Raspberry Pi Compute Module 5 (CM5104016) - BCM2712, 4GB RAM, 16GB eMMC RC-LIFE

Raspberry Pi Compute Module 5 (CM5104016) - BCM2712, 4GB RAM, 16GB eMMC

Regular price 449,00 zł
Regular price 449,00 zł Sale price
SAVE Sold out

Experience a massive leap in embedded computing power with the Raspberry Pi Compute Module 5 (CM5104016). Built around the formidable Broadcom BCM2712 quad-core ARM Cortex-A76 processor running at a blistering 2.4GHz, this module delivers desktop-class performance in a highly compact form factor.

Equipped with 4GB of LPDDR4X RAM and 16GB of fast, reliable built-in eMMC storage, it is engineered for heavy-duty applications that demand uncompromised speed and stability. Whether you are developing advanced autonomous robotics, AI-driven machine vision, industrial IoT gateways, or high-end custom carrier boards, the CM5 provides the processing muscle and I/O flexibility you need. It seamlessly bridges the gap between prototyping and professional, large-scale deployment.

Key Features:

  • Next-Gen Processing: The BCM2712 quad-core Cortex-A76 @ 2.4GHz offers vastly improved CPU and GPU performance compared to previous generations.

  • High-Speed Memory & Storage: Features 4GB of RAM for seamless multitasking and 16GB of onboard eMMC storage for reliable, fast OS booting and data logging.

  • Industrial Reliability: Designed for deep integration into custom products, removing the bulky ports of standard SBCs in favor of high-density board-to-board connectors.

  • Ultimate Flexibility: Exposes rich I/O interfaces including high-speed PCIe, dual HDMI, and multiple camera/display ports for complex hardware ecosystems.

Specifications:

  • Model: CM5104016 (Compute Module 5)

  • Processor: Broadcom BCM2712 (Quad-core ARM Cortex-A76 @ 2.4GHz)

  • RAM: 4GB LPDDR4X

  • Storage: 16GB eMMC

  • Form Factor: Compact System-on-Module (SoM)

  • Application: Advanced Robotics, Edge AI, Industrial IoT, Custom Carrier Boards

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