Raspberry Pi Compute Module 5 CM5 Lite (8GB RAM, CM5008000)

Raspberry Pi Compute Module 5 CM5 Lite 8GB Industrial SoM CM5008000 (8GB LPDDR4X Single Board Computer Module)

The Raspberry Pi Compute Module 5 CM5 Lite 8GB is a compact System on Module designed for embedded computing, industrial automation, networking, multimedia, and custom hardware applications. It features a Broadcom BCM2712 quad-core Arm Cortex-A76 processor operating at up to 2.4GHz and 8GB LPDDR4X-4267 SDRAM for demanding workloads. The Lite version does not include onboard eMMC, allowing storage to be selected through the carrier board.

Key Features -

• Broadcom BCM2712 quad-core Arm Cortex-A76 processor

• Processor speed up to 2.4GHz

• 8GB LPDDR4X-4267 SDRAM

• Lite design without onboard eMMC

• Supports custom storage solutions through compatible carrier boards

• Gigabit Ethernet connectivity

• 2 × USB 3.0 interfaces with up to 5Gbps data transfer

• 1 × USB 2.0 interface

• Single-lane PCIe Gen 2.0 interface

• Dual 4Kp60 HDMI output support

• 4Kp60 HEVC hardware video decoding

• OpenGL ES 3.1 graphics support

• Vulkan 1.2 graphics support

• Compact System on Module design

• Suitable for embedded and industrial applications

Specifications -

• Product Type - System on Module

• Model - Raspberry Pi Compute Module 5 CM5 Lite 8GB

• Part Number - CM5008000

• Processor - Broadcom BCM2712

• CPU - Quad-core Arm Cortex-A76

• CPU Frequency - Up to 2.4GHz

• Memory - 8GB LPDDR4X-4267 SDRAM

• Internal Storage - No onboard eMMC

• Ethernet - Gigabit Ethernet PHY

• USB - 2 × USB 3.0, 1 × USB 2.0

• PCIe - Single-lane PCIe Gen 2.0

• Video Output - Dual 4Kp60 HDMI support

• Video Decoder - 4Kp60 HEVC

• Graphics - OpenGL ES 3.1, Vulkan 1.2

• Module Type - Lite

Applications -

• Industrial automation systems

• Embedded computing

• Internet of Things devices

• Smart home systems

• Industrial control equipment

• Network appliances

• Edge computing applications

• Digital signage

• Multimedia systems

• Robotics projects

• Custom embedded systems

• Machine vision and image-processing applications