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Radxa Cubie A5E SBC 8-Core Allwinner A527 Dual Gigabit WiFi 6 M.2 NVMe
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Radxa Cubie A5E SBC 8-Core Allwinner A527 Dual Gigabit WiFi 6 M.2 NVMe
Price: CN $136.22
Radxa Cubie A5E Single Board Computer

8-Core Allwinner A527 ⚡ Dual Gigabit Ethernet 🔌 WiFi 6

Key FeaturesOcta-Core Performance

Allwinner A527H SoC with 8-core ARM Cortex-A55 CPU up to 2.0GHz, plus an onboard RISC-V core, delivering strong performance for edge computing and AI applications.

Dual Gigabit Ethernet

Two Gigabit Ethernet ports, one with optional PoE support (PoE HAT required separately), ideal for networking and server projects.

M.2 NVMe SSD Support

Onboard M.2 M Key connector supports M.2 2230 NVMe SSDs for fast expandable storage.

Modern Connectivity

WiFi 6 (802.11ax) with Bluetooth 5.4 BLE, USB 3.0, USB-C, HDMI 4K@60fps output, and a 40-pin GPIO header for hardware A527HCPUOcta-core ARM Cortex-A55 up to 2.0GHz + RISC-V core up to 200MHzGPUARM G57 MC1, OpenGL ES 3.2/2.0/1.1, Vulkan 1.1-1.3, OpenCL 2.2RAMLPDDR4x (1GB / 2GB / 4GB options)StorageOnboard eMMC + microSD slot + M.2 2230 NVMe SSD supportVideo Output1x HDMI (4K@60fps), 1x 4-lane MIPI DSIVideo Input1x MIPI CSI camera interfaceUSB1x USB 3.0 Type-A, 1x USB 2.0 OTG/Host Type-CEthernet2x Gigabit Ethernet (1x PoE-capable with optional HAT)WirelessWiFi 6 (802.11a/b/g/n/ac/ax) + Bluetooth 5.4 BLE, external antenna connectorGPIO40-pin headerForm Factor60.5 x 75 x 22.6mmChoosing Your Option

This listing offers three RAM configurations of the same board: 1GB, 2GB, and 4GB LPDDR4x variants. All variants share identical CPU, connectivity, and storage interfaces; only the onboard RAM capacity differs.

Product ImagesFAQDoes this board support M.2 NVMe SSDs?

Yes, it has an onboard M.2 M Key connector supporting M.2 2230 form factor NVMe SSDs.

What's the difference between the RAM variants?

Only the onboard LPDDR4x RAM capacity differs (1GB, 2GB, or 4GB); all other specs are identical.

Does PoE work out of the box?

One Gigabit Ethernet port supports PoE, but an additional PoE HAT is required to use this feature.

What operating systems are supported?

The board is designed for Linux-based edge computing and AI applications.



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