This is a replica Sipeed LicheePi 3A K1 Kit SBC Eight Nuclear 2T NPU RISC-V Board 8GB Ram 32GB eMMc of the Sipeed LicheePi 3A K1 Kit SBC Eight Nuclear 2T NPU RISC-V Board 8GB Ram 32GB eMMc, the official store of great sports products. This Sipeed LicheePi 3A K1 Kit SBC Eight Nuclear 2T NPU RISC-V Board 8GB Ram 32GB eMMc offers a lightweight, breathable, and comfortable fit. This is a great gift for the Sipeed LicheePi 3A K1 Kit SBC Eight Nuclear 2T NPU RISC-V Board 8GB Ram 32GB eMMc fan in your life.
Package Include: 1pcs* LPi 3A Kit (8+32GB）
[High Performance] LicheePi 3A is a high-performance RISC-V board with K1 as the host SoC, onboard RISC-V 64GCV X60*8 1.6GHz CPU, 2TOPS INT8 NPU, support for TensorFlow, ONNX, Caffe, support for CNN, RNN, DNN.
[Power consumption Reduced] Multi-core performance at about 80% of the previous generation RISC-V SBC, the LicheePi 4A, and single-core performance at about 50%.
[Open Source] Has Powerful Performance, Open Source Application Environment,Rich Software Ecology and Faster Native Compilation, More possibilities for Lichee Pi 3A. Faster than RPi 4B in some cases.
This is a replica Sipeed LicheePi 3A K1 Kit SBC Eight Nuclear 2T NPU RISC-V Board 8GB Ram 32GB eMMc of the Sipeed LicheePi 3A K1 Kit SBC Eight Nuclear 2T NPU RISC-V Board 8GB Ram 32GB eMMc, the official store of great sports products. This Sipeed LicheePi 3A K1 Kit SBC Eight Nuclear 2T NPU RISC-V Board 8GB Ram 32GB eMMc offers a lightweight, breathable, and comfortable fit. This is a great gift for the Sipeed LicheePi 3A K1 Kit SBC Eight Nuclear 2T NPU RISC-V Board 8GB Ram 32GB eMMc fan in your life.
[Rich Peripheral Interface] Supports HDMI and MIPI dual 1080P Display Output, 16MP camera access, Gigabit Ethernet port x2 (one of which supports POE power supply) and 4x USB3.0 interfaces, as well as 2x PCIE Gen2x2, multiple audio inputs and outputs. Also support 1x 4-lane MIPI CSI, 1x 2-lane MIPI CSI, 1x 4-lane MIPI DSI. With 2x 10Pin GPIO interface: support UART, IIC, SPI. 1x TF card slot.
[Wide Application] It can be widely used in tablets, edge computing, artificial intelligence, cloud computing, AR/VR, intelligent security, smart home and other fields, covering AIoT various industries.
