{"product_id":"sipeed-m1-m1w-dock","title":"Sipeed M1 M1W Dock K210 Dev Board 1st RV64 AI board for Edge Computing","description":"\u003ch2 data-style=\"{\" data-slate-type=\"h2\" data-key=\"87\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eSipeed MAIX: AI at the edge\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"89\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eAI is pervasive today, from consumer to enterprise applications. With the explosive growth of connected devices, combined with a demand for privacy\/confidentiality, low latency and bandwidth constraints, AI models trained in the cloud increasingly need to be run at the edge.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"91\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eMAIX is Sipeed’s purpose-built module designed to run AI at the edge, we called it AIoT. It delivers high performance in a small physical and power footprint, enabling the deployment of high-accuracy AI at the edge, and the competitive price make it possible embed to any IoT devices. As you see, Sipeed MAIX is quite like Google edge TPU, but it act as master controller, not an accelerator like edge TPU, so it is more low cost and low power than AP+edge TPU solution.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"93\"\u003e\u003cspan style=\"font-size: 20px;\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/H341ebec8fb5f401cafefa1d550be301as.jpg\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/Hf9a4a4af507d43669788daa6aacc6c0en.jpg\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/H201c10e1f9f04d71a92f0ff3cea2131bz.jpg\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 data-style=\"{\" data-slate-type=\"h2\" data-key=\"97\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eMAIX's Advantage and Usage Scenarios:\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul data-style=\"{\" data-slate-type=\"ul\" data-key=\"99\"\u003e\n\u003cli data-style=\"{\" data-slate-type=\"li\" data-key=\"100\"\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"101\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eMAIX is not only hardware, but also provide an end-to-end, hardware + software infrastructure for facilitating the deployment of customers' AI-based solutions.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-style=\"{\" data-slate-type=\"li\" data-key=\"103\"\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"104\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eThanks to its performance, small footprint, low power, and low cost, MAIX enables the broad deployment of high-quality AI at the edge.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-style=\"{\" data-slate-type=\"li\" data-key=\"106\"\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"107\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eMAIX isn't just a hardware solution, it combines custom hardware, open software, and state-of-the-art AI algorithms to provide high-quality, easy to deploy AI solutions for the edge.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-style=\"{\" data-slate-type=\"li\" data-key=\"109\"\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"110\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eMAIX can be used for a growing number of industrial use-cases such as predictive maintenance, anomaly detection, machine vision, robotics, voice recognition, and many more. It can be used in manufacturing, on-premise, healthcare, retail, smart spaces, transportation, etc.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-style=\"{\" data-slate-type=\"h2\" data-key=\"112\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eMAIX's CPU\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"114\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eIn hardware, MAIX have powerful KPU K210 inside, it offers many exciting features:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul data-style=\"{\" data-slate-type=\"ul\" data-key=\"116\"\u003e\n\u003cli data-style=\"{\" data-slate-type=\"li\" data-key=\"117\"\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"118\"\u003e\u003cspan style=\"font-size: 20px;\"\u003e1st competitive RISC-V chip, also 1st competitive AI chip, newly release in Sep. 2018\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-style=\"{\" data-slate-type=\"li\" data-key=\"120\"\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"121\"\u003e\u003cspan style=\"font-size: 20px;\"\u003e28nm process, dual-core RISC-V 64bit IMAFDC, on-chip huge 8MB high-speed SRAM (not for XMR :D), 400MHz frequency (able to 800MHz)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-style=\"{\" data-slate-type=\"li\" data-key=\"123\"\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"124\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eKPU (Neural Network Processor) inside, 64 KPU which is 576bit width, support convolution kernels, any form of activation function. It offers 0.25TOPS 0.3W,400MHz, when overclock to 800MHz, it offers 0.5TOPS. It means you can do object recognition 60fps VGA\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-style=\"{\" data-slate-type=\"li\" data-key=\"126\"\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"127\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eAPU (Audio Processor) inside, support 8mics, up to 192KHz sample rate, hardcore FFT unit inside, easy to make a Mic Array (MAIX offer it too)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-style=\"{\" data-slate-type=\"li\" data-key=\"129\"\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"130\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eFlexible FPIOA (Field Programmable IO Array), you can map 255 functions to all 48 GPIOs on the chip\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-style=\"{\" data-slate-type=\"li\" data-key=\"132\"\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"133\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eDVP camera and MCU LCD interface, you can connect an DVP camera, run your algorithm, and display on LCD\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-style=\"{\" data-slate-type=\"li\" data-key=\"135\"\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"136\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eMany other accelerators and peripherals: AES Accelerator, SHA256 Accelerator, FFT Accelerator (not APU's one), OTP, UART, WDT, IIC, SPI, I2S, TIMER, RTC, PWM, etc.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"138\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eMAIX's Module\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"140\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eInherit the advantage of K210's small footprint, Sipeed MAIX-I module, or called M1, integrate K210, 3-channel DC-DC power, 8MB\/16MB\/128MB Flash (M1w module add wifi chip esp8285 on it) into Square Inch Module. All usable IO breaks out as 1.27mm(50mil) pins, and pin's voltage is selectable from 3.3V and 1.8V.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"142\"\u003e\u003cspan style=\"font-size: 20px;\"\u003e\u003cimg src=\"https:\/\/ae01.alicdn.com\/kf\/H7f9efbd228174c9286d4db8c9b3f0d7a3.jpg\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"144\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eMAIX's development board (M1 dock)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"146\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eFirstly, We make an prototype development board for M1, called M! dock or Dan Dock, it is simple, small, cheap, but all functions include.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"148\"\u003e \u003c\/p\u003e\n\u003ch2 data-style=\"{\" data-slate-type=\"h2\" data-key=\"150\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eMAIX's Deep learning\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp data-style=\"{\" data-slate-type=\"p\" data-key=\"152\"\u003e\u003cspan style=\"font-size: 20px;\"\u003eMAIX support fixed-point model that the mainstream training framework trains, according to specific restriction rules, and have model compiler to compile models to its own model format.\u003c\/span\u003e\u003c\/p\u003e","brand":"sipeed","offers":[{"title":"M1 standard Kit","offer_id":42393336414306,"sku":"XS0002","price":212.0,"currency_code":"HKD","in_stock":true},{"title":"M1w standard Kit","offer_id":42393336447074,"sku":"XS0007","price":259.0,"currency_code":"HKD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0652\/9443\/4402\/files\/SipeedM1M1WMAIN05.jpg?v=1775014058","url":"https:\/\/youyeetoo.com\/products\/sipeed-m1-m1w-dock","provider":"youyeetoo","version":"1.0","type":"link"}