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[High Performance RockChip RK3588 CPU] ] BPI-M7 single board computer adopt RK3588 Quad-Core Cortex-A76 2.4GHz and Quad-Core Cortex-A55 1.8GHz CPU, Imagination ARM Mali-G610 MP4 GPU (4x256KB L2 Cache), supports OpenGL ES3.2/OpenCL2.2/Vulkan1.1. NPU (3 NPU core) for AI up to 6Tops, supports INT4/INT8/INT16 mixed computing.
[Greater Storage Scalability] BPI-M7 single board computer onboard 64bit 8/16/32GB LPDDR4x RAM and 64/128GB eMMC flash, onboard MicroSD slot and M.2 PCIe interface (PCIe 3.0 4-lanes), expansion support for 2280/2260/2242/2230 M.2 SSD cards, providing greater possibilities for AI edge computing and ARM computers development.
[Wide Range of Applications] BPI-M7 single board computer can be widely used in ARM computers, AI edge computing, Cloud Servers, Artificial intelligence, Cloud Computing, Virtual/Augmented Reality, Blockchain, Smart NVR, Smart Home Devices, Security Surveillance etc. It is also a smart SBC built specifically for applications such as smart displays, smart cameras, set-top boxes and media streaming.
[Triple Display Support with HDR] BPI-M7 integrated GPU Mali-G610 MP4 (4x256KB L2 Cache) GPU, support 8K video decoding, codecing and 4K video output. 6Tops NPU, supports frameworks like TensorFlow, MXNet, PyTorch, Caffe, Tflite, Onnx NN. It can drive three displays, allowing the device to power a 1080P touchscreen panel in a set-top box while streaming to a 4K/8K TV, supports multiple video outputs.
[Multifunction Interfaces] BPI-M7 linux single board computer onboard M.2 Key M port (PCIe 3.0 x4), 2x MIPI CSI and 1x MIPI DSI port, 2 x USB 3.0 ports; 2x 2.5GbE Gigabit Ethernet port; 1x HDMI out port; GPIO: 40-pin header, compatible with Raspberry Pi 40-pin header for connecting abundant add-on modules. Support IEEE 802.11a/b/g/n/ac/ax WIFI6 and BT5. Size & Weight: 92 mm x 62mm x 10mm, 68g.
[SDK Document] BPI-M7 linux single board computer supports multiple operating systems, Official:Android 12.0, Debian11, Buildroot. 3rd Party:Armbian, Ubuntu 20.04, Ubuntu22.04, Kylin OS. SDK download and Getting Started: “https://docs.banana-pi.org/en/BPI-M7/BananaPi_BPI-M7”.
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