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Source channel @githubtrending · Post #15554 · Mar 12

#cplusplus LiteRT is Google's free framework for running fast machine learning and generative AI on phones, computers, and web without cloud help. It uses GPU and NPU for up to 2x speed boosts, zero-copy data handling, and async execution on Android, iOS, Linux, and more, plus easy PyTorch model conversion. You benefit by building quick, private apps like real-time image editing or chatbots that work offline on everyday devices, saving battery and boosting performance. https://github.com/google-ai-edge/LiteRT

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The 2ndDim: That was I talking about!

@The2ndDim · Post #1506 · 07/28/2021, 08:18 PM

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#WantThis#SBC#RaspberryPi https://www.youtube.com/watch?v=huAKEbyPcBc https://forum.radxa.com/t/introduce-the-radxa-zero/6550 有点厉害性能吊打树莓派ZeroW 可惜视频只走MicroHDMI CPU: AmLogic S905Y2 (4核心 Cortex-A53 1.8 GHz, 12nm制程) GPU: Mali G31 MP2 RAM: LPDDR4 512MB/1GB/2GB/4GB 存储: 板载eMMC 5.1 8/16/32/64/128GB + MicroSD扩展 HDMI: Micro HDMI, HDMI 2.1, 4K@60 HDR 硬件解码: H265/VP9 decode 4Kx2K@60 无线: WiFi4/BT4 或 WiFi5/BT5 USB: 1x USB 2.0 Type C OTG (数据+供电), 1x USB 3.0 Type C host GPIO: 40Pin GPIO, ADC/UART/SPI/PWM 其他: Crypto Engine, 支持外置天线, 一个硬件按钮系统: 目前有 Android 9, TwisterOS (基于Armbian的Ubuntu 20.04分支), Manjaro, EmuELEC

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