PageSourceSearch

https://www.lattepanda.com/lattepanda-iota

html lattepanda.com collected 2026-10-02 16:44:41 UTC 38,584 bytes, 36 lines download raw bytes

1<!doctype html>
2<html dir="ltr" lang="en">
3  <head >
4    <title>LattePanda IOTA - Expandable x86 SBC with Intel N150 for AI, Robotics &amp; Edge Computing</title><meta data-n-head="ssr" charset="utf-8"><meta data-n-head="ssr" name="viewport" content="width=device-width, initial-scale=1,minimum-scale=1.0, maximum-scale=1.0, user-scalable=no, width=device-width"><meta data-n-head="ssr" data-hid="keywords" name="keywords" content="LattePanda IOTA, Intel N150 SBC, expandable x86 computer, M.2 SBC, AI single-board computer, robotics development board, RP2040 co-processor, edge computing SBC, Windows/Linux compatible"><meta data-n-head="ssr" data-hid="description" name="description" content="The LattePanda IOTA is a palm-sized x86 single-board computer powered by Intel N150 (4 cores, 3.6GHz), featuring 16GB LPDDR5 RAM, 128GB eMMC storage, and M.2 expansion for SSDs &amp; AI accelerators. Designed for AI, robotics, and edge applications, it integrates an RP2040 co-processor for real-time control and supports Windows/Linux."><meta data-n-head="ssr" data-hid="og:locale" property="og:locale" content="en_US"><meta data-n-head="ssr" data-hid="og:type" property="og:type" content="website"><meta data-n-head="ssr" data-hid="og:title" property="og:title" content="LattePanda IOTA - Expandable x86 SBC with Intel N150 for AI, Robotics &amp; Edge Computing"><meta data-n-head="ssr" data-hid="og:description" property="og:description" content="The LattePanda IOTA is a palm-sized x86 single-board computer powered by Intel N150 (4 cores, 3.6GHz), featuring 16GB LPDDR5 RAM, 128GB eMMC storage, and M.2 expansion for SSDs &amp; AI accelerators. Designed for AI, robotics, and edge applications, it integrates an RP2040 co-processor for real-time control and supports Windows/Linux."><meta data-n-head="ssr" data-hid="og:url" property="og:url" content="https://www.lattepanda.com/lattepanda-iota"><meta data-n-head="ssr" data-hid="og:site_name" property="og:site_name" content="Lattepanda Tech Support Forum"><meta data-n-head="ssr" data-hid="og:image" property="og:image" content="https://www.lattepanda.com/seoimages/lpIota.png"><meta data-n-head="ssr" data-hid="og:image:alt" property="og:image:alt" content="LattePanda IOTA - Expandable x86 SBC with Intel N150 for AI, Robotics &amp; Edge Computing"><meta data-n-head="ssr" data-hid="twitter:card" property="twitter:card" content="summary_large_image"><meta data-n-head="ssr" data-hid="twitter:site" property="twitter:site" content="@lattepanda"><meta data-n-head="ssr" data-hid="twitter:creator" property="twitter:creator" content="@lattepanda"><meta data-n-head="ssr" data-hid="twitter:title" property="twitter:title" content="LattePanda IOTA - Expandable x86 SBC with Intel N150 for AI, Robotics &amp; Edge Computing"><meta data-n-head="ssr" data-hid="twitter:description" property="twitter:description" content="The LattePanda IOTA is a palm-sized x86 single-board computer powered by Intel N150 (4 cores, 3.6GHz), featuring 16GB LPDDR5 RAM, 128GB eMMC storage, and M.2 expansion for SSDs &amp; AI accelerators. Designed for AI, robotics, and edge applications, it integrates an RP2040 co-processor for real-time control and supports Windows/Linux."><meta data-n-head="ssr" data-hid="twitter:image" property="twitter:image" content="https://www.lattepanda.com/seoimages/lpIota.png"><meta data-n-head="ssr" data-hid="twitter:image:alt" property="twitter:image:alt" content="LattePanda IOTA - Expandable x86 SBC with Intel N150 for AI, Robotics &amp; Edge Computing"><link data-n-head="ssr" rel="icon" type="image/x-icon" href="/favicon.ico"><link data-n-head="ssr" rel="stylesheet" href="/fonts/iconfont.css"><link data-n-head="ssr" rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto"><link data-n-head="ssr" rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto+Condensed|Open+Sans+Condensed:300"><link data-n-head="ssr" rel="canonical" href="https://www.lattepanda.com/lattepanda-iota"><link data-n-head="ssr" rel="stylesheet" href="/css/pc.css"><link data-n-head="ssr" rel="stylesheet" href="/css/pc_head.css"><link data-n-head="ssr" rel="stylesheet" href="/css/pc_productIOTA.css">
4<script data-n-head="ssr" src="/fonts/iconfont.js" ssr="true"></script>
4<script data-n-head="ssr" src="/libs/jquery-2.1.1.min.js" ssr="true"></script>
vendor: 98 bytes, line 4
4<script data-n-head="ssr" type="text/javascript" src="https://www.googletagmanager.com/gtag/js?id=
4G-2C0TZQXV8F
vendor: 36 bytes, line 4
4" ssr="true" mode="client"></script>
4<script data-n-head="ssr" type="text/javascript" src="/libs/gtag.js" mode="client"></script>
4<script data-n-head="ssr" src="/libs/md5.min.js" ssr="true"></script>
4<script data-n-head="ssr" src="/libs/animejs/anime.min.js" ssr="false" defer></script>
4<script data-n-head="ssr" type="application/ld+json">{"@context":"https://schema.org","@id":"https://www.lattepanda.com/lattepanda-iota#breadcrumb","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.lattepanda.com/"},{"@type":"ListItem","position":2,"name":"product"}]}</script>
4<script data-n-head="ssr" type="application/ld+json">{"@context":"https://schema.org","@type":"Product","name":"LattePanda IOTA - Expandable x86 SBC with Intel N150 for AI, Robotics &amp; Edge Computing","description":"The LattePanda IOTA is a palm-sized x86 single-board computer powered by Intel N150 (4 cores, 3.6GHz), featuring 16GB LPDDR5 RAM, 128GB eMMC storage, and M.2 expansion for SSDs &amp; AI accelerators. Designed for AI, robotics, and edge applications, it integrates an RP2040 co-processor for real-time control and supports Windows/Linux.","offers":{"@type":"AggregateOffer","lowPrice":171.8,"highPrice":377.7,"priceCurrency":"USD"},"image":"https://www.lattepanda.com/seoimages/lpIota.png","creditText":"LattePanda IOTA - Expandable x86 SBC with Intel N150 for AI, Robotics &amp; Edge Computing"}</script>
4<script data-n-head="ssr" type="application/ld+json">{"@context":"https://schema.org","@type":"VideoObject","name":"LattePanda IOTA - Expandable x86 SBC with Intel N150 for AI, Robotics &amp; Edge Computing","description":"The LattePanda IOTA is a palm-sized x86 single-board computer powered by Intel N150 (4 cores, 3.6GHz), featuring 16GB LPDDR5 RAM, 128GB eMMC storage, and M.2 expansion for SSDs &amp; AI accelerators. Designed for AI, robotics, and edge applications, it integrates an RP2040 co-processor for real-time control and supports Windows/Linux.","thumbnailUrl":["https://www.lattepanda.com/seoimages/lpIota.png"],"uploadDate":"2025-09-18T00:00:00.000Z","contentUrl":"https://www.youtube.com/watch?v=Dr1BywfPyOE","embedUrl":"https://www.youtube.com/watch?v=Dr1BywfPyOE"}</script>
4<script data-n-head="ssr" src="//s3.amazonaws.com/downloads.mailchimp.com/js/mc-validate.js" ssr="true"></script>
4<link rel="preload" href="/_nuxt/bd09486.js" as="script"><link rel="preload" href="/_nuxt/110fbb6.js" as="script"><link rel="preload" href="/_nuxt/de372ea.js" as="script"><link rel="preload" href="/_nuxt/css/6ffd020.css" as="style"><link rel="preload" href="/_nuxt/f3dbf78.js" as="script"><link rel="preload" href="/_nuxt/css/a653150.css" as="style"><link rel="preload" href="/_nuxt/334d7ba.js" as="script"><link rel="preload" href="/_nuxt/26e1fb7.js" as="script"><link rel="preload" href="/_nuxt/a012d71.js" as="script"><link rel="stylesheet" href="/_nuxt/css/6ffd020.css"><link rel="stylesheet" href="/_nuxt/css/a653150.css">
5  </head>
6  <body >
7    <div data-server-rendered="true" id="__nuxt"><!----><div id="__layout"><div><div class="container" data-v-2c91ac9a><div id="pc" data-v-2c91ac9a><header data-v-2c91ac9a><div class="con"><div class="main"><a href="/" class="logo"><img src="/images/logo.png" alt="logo"></a> <span><a href="javascript:;" target="_top">Products<i class="iconfont icon-you-01"></i></a><a href="https://docs.lattepanda.com/" target="_blank">Documentation<i class="iconfont "></i></a><a href="javascript:;" target="_top">Community<i class="iconfont icon-you-01"></i></a><a href="/blog" target="_top">Blog<i class="iconfont "></i></a><a href="javascript:;" target="_top">Explore<i class="iconfont icon-you-01"></i></a></span></div></div> <!----> <div class="backTop"><i class="icon iconfont icon-top-01"></i> <span>TOP</span></div></header> <div class="subNav" data-v-2c91ac9a><span data-v-2c91ac9a><b data-v-2c91ac9a>LattePanda IOTA</b> <span data-v-2c91ac9a><a href="#" data-v-2c91ac9a>Overview</a> <a href="#spec" data-v-2c91ac9a>Specification</a> <a href="https://github.com/LattePandaTeam" target="_blank" data-v-2c91ac9a>Documents</a> <a href="/accessories" target="_blank" data-v-2c91ac9a>Accessories</a> <a href="https://www.dfrobot.com/product-2989.html" target="_blank" class="buy" data-v-2c91ac9a>Buy</a></span></span> <b data-v-2c91ac9a></b></div> <div data-v-c62969f4 data-v-2c91ac9a><div class="screen-container" data-v-c62969f4><div class="screen first" data-v-c62969f4><div class="bg-container" data-v-c62969f4><img src="/images/iota/bg01.jpg" alt="background" data-v-c62969f4></div> <h1 class="iotaTit" data-v-c62969f4>A Palm-Sized<span data-v-c62969f4>x86 Single-Board Computer</span></h1> <img src="/images/iota/logoIOTA.png" alt="LOGOIOTA" class="iotaLogo" data-v-c62969f4> <button data-v-c62969f4><span class="play" data-v-c62969f4><i class="icon iconfont icon-bofang" data-v-c62969f4></i></span>
8        Video
9      </button> <!----></div> <div class="screen video" data-v-c62969f4><div class="iotaTit" data-v-c62969f4>
10        The Friend You Know<br data-v-c62969f4>
11        Same Form <br data-v-c62969f4>Seamless Upgrade
12      </div> <img src="/images/iota/img06.png" alt="img" class="b" data-v-c62969f4> <div class="text" data-v-c62969f4><span data-v-c62969f4>LattePanda V1</span> <span data-v-c62969f4>LattePanda IOTA</span></div></div> <div class="screen cpu" data-v-c62969f4><div class="iotaTit" data-v-c62969f4>He's 8X Faster Now</div> <img src="/images/iota/img01.png" alt="cpu" data-v-c62969f4> <ul data-v-c62969f4><li data-v-c62969f4><i data-v-c62969f4>CPU</i> <span data-v-c62969f4><b data-v-c62969f4>4</b> <span data-v-c62969f4>Core</span></span> <b data-v-c62969f4>3.6GHz MAX</b></li> <li data-v-c62969f4><i data-v-c62969f4>Memory</i> <span data-v-c62969f4><span data-v-c62969f4>Up to</span> <b data-v-c62969f4>16GB</b></span> <b data-v-c62969f4>LPDDR5 4800MT/s<br data-v-c62969f4>with In-band ECC</b></li> <li data-v-c62969f4><i data-v-c62969f4>Storage</i> <span data-v-c62969f4><span data-v-c62969f4>Up to</span> <b data-v-c62969f4>128GB</b></span> <b data-v-c62969f4>eMMC 5.1</b></li></ul></div> <div class="screen benchmark" data-v-c62969f4><div class="bg-container" data-v-c62969f4><img src="/images/iota/bg04.png" alt="background" data-v-c62969f4></div> <h3 class="iotaTit" data-v-c62969f4>Benchmark</h3> <div class="glass-bg observe benchmark-animation" data-v-c62969f4><ul data-v-c62969f4><li data-v-c62969f4><span data-v-c62969f4>LattePanda lOTA (Intel® Processor N150)</span> <div class="bar" style="width:0%;" data-v-c62969f4><p data-v-c62969f4><b data-v-c62969f4>2820</b></p></div> <div class="bar" style="width:0%;" data-v-c62969f4><p data-v-c62969f4><b data-v-c62969f4>1193</b></p></div></li><li data-v-c62969f4><span data-v-c62969f4>Raspberry Pi 5</span> <div class="bar" style="width:0%;" data-v-c62969f4><p data-v-c62969f4><b data-v-c62969f4>1550</b></p></div> <div class="bar" style="width:0%;" data-v-c62969f4><p data-v-c62969f4><b data-v-c62969f4>750</b></p></div></li><li data-v-c62969f4><span data-v-c62969f4>Intel® Celeron® N5105</span> <div class="bar" style="width:0%;" data-v-c62969f4><p data-v-c62969f4><b data-v-c62969f4>1500</b></p></div> <div class="bar" style="width:0%;" data-v-c62969f4><p data-v-c62969f4><b data-v-c62969f4>500</b></p></div></li><li data-v-c62969f4><span data-v-c62969f4>LattePanda V1 (Intel® Atom™ x5-Z8350)</span> <div class="bar" style="width:0%;" data-v-c62969f4><p data-v-c62969f4><b data-v-c62969f4>372</b></p></div> <div class="bar" style="width:0%;" data-v-c62969f4><p data-v-c62969f4><b data-v-c62969f4>135</b></p></div></li></ul> <div class="axis" data-v-c62969f4><span data-v-c62969f4>0</span> <span data-v-c62969f4>500</span> <span data-v-c62969f4>1000</span> <span data-v-c62969f4>1500</span> <span data-v-c62969f4>2000</span> <span data-v-c62969f4>2500</span> <span data-v-c62969f4>3000</span> <span data-v-c62969f4>3500</span></div> <div class="legend" data-v-c62969f4><li data-v-c62969f4><div class="bar" data-v-c62969f4><p data-v-c62969f4></p></div> <span data-v-c62969f4>Multi-core</span> <div class="bar" data-v-c62969f4><p data-v-c62969f4></p></div> <span data-v-c62969f4>Single-core</span></li></div> <span data-v-c62969f4>LattePanda lOTA N150 benchmark with 15W TDP setting</span> <span data-v-c62969f4>From Geekbench 6</span></div></div> <div class="screen size" data-v-c62969f4><div class="bg-container" data-v-c62969f4><img src="/images/iota/bg05.png" alt="background" data-v-c62969f4></div> <div class="iotaTit" data-v-c62969f4>He's Palm-sized<br data-v-c62969f4>Fits anywhere</div> <img src="/images/iota/img02.png" alt="size" data-v-c62969f4></div> <div class="screen board" data-v-c62969f4><div class="iotaTit" data-v-c62969f4>His Rich Interfaces<br data-v-c62969f4>Fit Your Needs</div> <div class="card" data-v-c62969f4><div class="face front" data-v-c62969f4><img src="/images/iota/img04.png" alt="boardFornt" data-v-c62969f4></div> <div class="face back" data-v-c62969f4><img src="/images/iota/img03.png" alt="boardFornt" data-v-c62969f4></div></div> <div class="nav" data-v-c62969f4><button class="active" data-v-c62969f4>Front</button> <button data-v-c62969f4>Back</button></div></div> <div class="screen video wild" data-v-c62969f4><div class="iotaTit" data-v-c62969f4>He's Gentle or Wild<br data-v-c62969f4>Passive to Active Cooling</div> <video loop="loop" autoplay="autoplay" playsinline webkit-playsinline muted="muted" width="1280" height="720" data-v-c62969f4><source src="/images/iota/video1.mp4" type="video/mp4" data-v-c62969f4></video> <span data-v-c62969f4><button data-v-c62969f4><i class="icon iconfont icon-weibiaoti519" data-v-c62969f4></i></button></span></div> <div class="screen options" data-v-c62969f4><div class="bg-container" data-v-c62969f4><video loop="loop" autoplay="autoplay" playsinline webkit-playsinline muted="muted" width="100%" height="100%" style="opacity:0.5;" data-v-c62969f4><source src="/images/iota/video2.mp4" type="video/mp4" data-v-c62969f4></video></div><div class="bg-container" data-v-c62969f4><!----></div><div class="bg-container" data-v-c62969f4><img src="/images/iota/bg08.png" alt="background" data-v-c62969f4></div><div class="bg-container" data-v-c62969f4><video loop="loop" autoplay="autoplay" playsinline webkit-playsinline muted="muted" width="100%" height="100%" style="opacity:0.5;" data-v-c62969f4><source src="/images/iota/video3.mp4" type="video/mp4" data-v-c62969f4></video></div> <div class="iotaTit" data-v-c62969f4>Endless Expansion Options</div> <ul data-v-c62969f4><li data-v-c62969f4><img src="/images/iota/ma_1.png" alt="movieDom" style="left:203px;top:39px;" data-v-c62969f4><img src="/images/iota/ma_2.png" alt="movieDom" style="left:368px;top:37px;" data-v-c62969f4><img src="/images/iota/ma_3.png" alt="movieDom" style="left:676px;top:50px;" data-v-c62969f4><img src="/images/iota/ma_4.png" alt="movieDom" style="left:796p
12x;top:41px;" data-v-c62969f4></li><li data-v-c62969f4><img src="/images/iota/mb_1.png" alt="movieDom" style="left:-10px;top:-127px;" data-v-c62969f4><img src="/images/iota/mb_2.png" alt="movieDom" style="left:-231px;top:24px;opacity:0;" data-v-c62969f4><img src="/images/iota/mb_3.png" alt="movieDom" style="left:51px;top:221px;opacity:0;" data-v-c62969f4><img src="/images/iota/mb_4.png" alt="movieDom" style="left:93px;top:131px;opacity:0;" data-v-c62969f4></li><li data-v-c62969f4><img src="/images/iota/mc_1.png" alt="movieDom" style="left:-8px;top:12px;" data-v-c62969f4><img src="/images/iota/mc_2.png" alt="movieDom" style="left:-114px;top:95px;" data-v-c62969f4><img src="/images/iota/mc_3.png" alt="movieDom" style="left:797px;top:61px;" data-v-c62969f4><img src="/images/iota/mc_4.png" alt="movieDom" style="left:142px;top:144px;" data-v-c62969f4><img src="/images/iota/mc_5.png" alt="movieDom" style="left:142px;top:144px;" data-v-c62969f4><div class="djs" style="left:727px;top:138px;" data-v-c62969f4>00:00:00</div></li><li data-v-c62969f4><img src="/images/iota/md_1.png" alt="movieDom" style="left:350px;top:76px;" data-v-c62969f4><img src="/images/iota/md_2.png" alt="movieDom" style="left:-20px;top:106px;" data-v-c62969f4><img src="/images/iota/md_3.png" alt="movieDom" style="left:657px;top:126px;" data-v-c62969f4><img src="/images/iota/md_4.png" alt="movieDom" style="left:237px;top:145px;" data-v-c62969f4></li></ul> <div class="nav" data-v-c62969f4><dl data-v-c62969f4><dd class="active" data-v-c62969f4>+ M.2 M Key Exp. Board</dd><dd data-v-c62969f4>+ PoE Exp. Board</dd><dd data-v-c62969f4>+ UPS Exp. Board </dd><dd data-v-c62969f4>4G LTE Exp. Board</dd></dl></div> <div class="desc" data-v-c62969f4>The M.2 expansion board <b>Support SSDs</b> for expanded storage capacity, <span>YOLO accelerator cards</span> for AI vision tasks and <b>LLM cards</b> for AI inference—transforming the LattePanda IOTA into a platform ready for AI applications.</div> <a href="https://www.dfrobot.com/product-2985.html" target="_blank" data-v-c62969f4>More Info</a></div> <div class="screen rp" data-v-c62969f4><div class="iotaTit" data-v-c62969f4>Advanced Peripheral Control<br data-v-c62969f4>with RP2040 co-processor</div> <span data-v-c62969f4>
13        LattePanda IOTA, paired with an M.2 LLM accelerator card, delivers powerful AI-driven decisions, while the dedicated RP2040 co-processor controls sensors and actuators for real-time physical
14        action. Perception, inference, and control—all on a single board.
15      </span> <img src="/images/iota/img05.png" alt="robotImg" data-v-c62969f4></div> <div class="screen important" data-v-c62969f4><img src="/images/iota/img07.png" alt="background" data-v-c62969f4></div> <div class="specification" data-v-c62969f4><a name="spec" href="javascript:;" data-v-c62969f4></a> <dl data-v-c62969f4><dt data-v-c62969f4>Specification</dt> <dl class="row1" data-v-c62969f4><b data-v-c62969f4>Product</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>LattePanda IOTA</b> <i data-v-c62969f4></i></span></i></dl><dl class="row1" data-v-c62969f4><b data-v-c62969f4>CPU</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>Intel® Processor N150, 4 Cores/4 Threads</b> <i data-v-c62969f4>Up to 3.60 GHz</i></span></i></dl><dl class="row1" data-v-c62969f4><b data-v-c62969f4>Graphics</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>Intel® Graphics</b> <i data-v-c62969f4>24 Execution Units, up to 1 GHz</i></span></i></dl><dl class="row1" data-v-c62969f4><b data-v-c62969f4>Memory</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>8GB/16GB LPDDR5 4800MT/s</b> <i data-v-c62969f4>with In-band ECC</i></span></i></dl><dl class="row1" data-v-c62969f4><b data-v-c62969f4>Storage</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>64GB/128GB eMMC 5.1</b> <i data-v-c62969f4></i></span></i></dl><dl class="row2" data-v-c62969f4><b data-v-c62969f4>Display</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>1x HDMI 2.1</b> <i data-v-c62969f4>Up to 4096 x 2160 @ 60Hz</i></span><span data-v-c62969f4><b data-v-c62969f4>1x eDP 1.4b,2 Lanes</b> <i data-v-c62969f4>Up to 1920 x 1080 @60Hz</i></span></i></dl><dl class="row3" data-v-c62969f4><b data-v-c62969f4>USB Ports</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>3 x USB 3.2 Gen 2 Type A</b> <i data-v-c62969f4>10Gbps</i></span><span data-v-c62969f4><b data-v-c62969f4>1 x USB 2.0 Pin Header</b> <i data-v-c62969f4></i></span><span data-v-c62969f4><b data-v-c62969f4>1 x USB Type-C PD 15V</b> <i data-v-c62969f4>Power Input Only</i></span></i></dl><dl class="row1" data-v-c62969f4><b data-v-c62969f4>Network</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>1GbE RJ45 Port</b> <i data-v-c62969f4>Support WOL</i></span></i></dl><dl class="row3" data-v-c62969f4><b data-v-c62969f4>Operating System</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>Windows 10 &amp; 11</b> <i data-v-c62969f4></i></span><span data-v-c62969f4><b data-v-c62969f4>Ubuntu 22.04 &amp; 24.04</b> <i data-v-c62969f4></i></span></i></dl><dl class="row3" data-v-c62969f4><b data-v-c62969f4>Expansion Slots</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>M.2 E Key 2230 Slot</b> <i data-v-c62969f4>PCIe/CNVio</i></span><span data-v-c62969f4><b data-v-c62969f4>TF Card Slot</b> <i data-v-c62969f4>USB2.0</i></span><span data-v-c62969f4><b data-v-c62969f4>PCIe FPC Connector</b> <i data-v-c62969f4>PCIe 3.0x1 0.5mm<br/>16 Pin</i></span></i></dl><dl class="row1" data-v-c62969f4><b data-v-c62969f4>Co-Processor</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>RP2040 MCU</b> <i data-v-c62969f4>133MHz Dual-core Arm Cortex-M0+, 264KB SRAM, 8MB Flash</i></span></i></dl><dl class="row2" data-v-c62969f4><b data-v-c62969f4>GPIO &amp; Other Features</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>Up to 3x Analog Inputs</b> <i data-v-c62969f4></i></span><span data-v-c62969f4><b data-v-c62969f4>1x RTC Battery Connector</b> <i data-v-c62969f4>1.25mm</i></span><span data-v-c62969f4><b data-v-c62969f4>Up to 16x Digital Input/Output</b> <i data-v-c62969f4></i></span><span data-v-c62969f4><b data-v-c62969f4>1x DIP Switch</b> <i data-v-c62969f4>auto power on; MCU power control</i></span><span data-v-c62969f4><b data-v-c62969f4>1x UART</b> <i data-v-c62969f4></i></span><span data-v-c62969f4><b data-v-c62969f4>1x Power Management Connector</b> <i data-v-c62969f4>MX1.25 10 Pin</i></span><span data-v-c62969f4><b data-v-c62969f4>1x USB 2.0</b> <i data-v-c62969f4></i></span><span data-v-c62969f4><b data-v-c62969f4>1x PH2.0 4-Pin Connector</b> <i data-v-c62969f4>Power Input</i></span><span data-v-c62969f4><b data-v-c62969f4>1x Fan Port</b> <i data-v-c62969f4>MX1.25 4Pin PWM 5V</i></span><span data-v-c62969f4><b data-v-c62969f4>1x Speaker Audio</b> <i data-v-c62969f4></i></span></i></dl><dl class="row1" data-v-c62969f4><b data-v-c62969f4>Audio</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>3.5mm Microphone Headphone Combo Connector</b> <i data-v-c62969f4></i></span></i></dl><dl class="row2" data-v-c62969f4><b data-v-c62969f4>Power Supply</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>USB Type-C</b> <i data-v-c62969f4>PD 15V</i></span><span data-v-c62969f4><b data-v-c62969f4>PH2.0-4Pin Power Input</b> <i data-v-c62969f4>10~15V DC</i></span></i></dl><dl class="row1" data-v-c62969f4><b data-v-c62969f4>Dimension</b> <i data-v-c62969f4><span data-v-c62969f4><b data-v-c62969f4>88mm x 70mm x 19mm</b> <i data-v-c62969f4></i></span></i></dl></dl></div> <div class="screen upgrade" data-v-c62969f4><div class="bg-container" data-v-c62969f4><img src="/images/iota/bg13.png" alt="background" data-v-c62969f4></div> <div class="iotaTit" data-v-c62969f4>
15Your Journey Continues Here</div> <div class="btn" data-v-c62969f4><a href="https://www.dfrobot.com/product-2989.html" target="_blank" data-v-c62969f4>Upgrade Now</a> <a href="https://www.lattepanda.com/blog-323312.html" target="_blank" data-v-c62969f4>Migration Guide</a></div></div> <div class="screen community" data-v-c62969f4><div class="bg-container" data-v-c62969f4><img src="/images/iota/bg14.png" alt="background" data-v-c62969f4></div> <div class="iotaTit" data-v-c62969f4>Resources &amp; Community<br data-v-c62969f4>Support</div> <div class="btn" data-v-c62969f4><a href="https://x.com/LattePandaCN" target="_blank" style="left:0px;top:115px;" data-v-c62969f4><img src="/images/iota/cmt1_off.png" alt="btnImage" class="off" data-v-c62969f4> <img src="/images/iota/cmt1_on.png" alt="btnImage" class="on" style="left:-24px;top:-39px;" data-v-c62969f4></a><a href="https://www.reddit.com/r/LattePanda_Official/" target="_blank" style="left:281px;top:48px;" data-v-c62969f4><img src="/images/iota/cmt2_off.png" alt="btnImage" class="off" data-v-c62969f4> <img src="/images/iota/cmt2_on.png" alt="btnImage" class="on" style="left:-23px;top:-40px;" data-v-c62969f4></a><a href="https://discord.gg/rX2BmEmFXH" target="_blank" style="left:550px;top:31px;" data-v-c62969f4><img src="/images/iota/cmt3_off.png" alt="btnImage" class="off" data-v-c62969f4> <img src="/images/iota/cmt3_on.png" alt="btnImage" class="on" style="left:-24px;top:-39px;" data-v-c62969f4></a><a href="https://www.instagram.com/lattepanda_cn/" target="_blank" style="left:880px;top:120px;" data-v-c62969f4><img src="/images/iota/cmt4_off.png" alt="btnImage" class="off" data-v-c62969f4> <img src="/images/iota/cmt4_on.png" alt="btnImage" class="on" style="left:-24px;top:-39px;" data-v-c62969f4></a><a href="https://www.facebook.com/lattepandacn" target="_blank" style="left:118px;top:344px;" data-v-c62969f4><img src="/images/iota/cmt5_off.png" alt="btnImage" class="off" data-v-c62969f4> <img src="/images/iota/cmt5_on.png" alt="btnImage" class="on" style="left:-24px;top:-38px;" data-v-c62969f4></a><a href="https://docs.lattepanda.com/" target="_blank" style="left:430px;top:392px;" data-v-c62969f4><img src="/images/iota/cmt6_off.png" alt="btnImage" class="off" data-v-c62969f4> <img src="/images/iota/cmt6_on.png" alt="btnImage" class="on" style="left:-24px;top:-39px;" data-v-c62969f4></a><a href="https://github.com/LattePandaTeam" target="_blank" style="left:748px;top:297px;" data-v-c62969f4><img src="/images/iota/cmt7_off.png" alt="btnImage" class="off" data-v-c62969f4> <img src="/images/iota/cmt7_on.png" alt="btnImage" class="on" style="left:-23px;top:-39px;" data-v-c62969f4></a></div></div> <div class="screen" data-v-c62969f4 data-v-2c91ac9a><div class="last-words" data-v-c62969f4 data-v-2c91ac9a><div class="line" data-v-c62969f4 data-v-2c91ac9a></div> <div class="text" data-v-c62969f4 data-v-2c91ac9a><p data-v-c62969f4 data-v-2c91ac9a>
16              LattePanda IOTA is a palm-sized, low-power embedded X86 single-board computer powered by the Intel Twin Lake N150 quad-core processor — the next-generation successor to Alder Lake N100
17              with long lifecycle support. Delivering 2–3× CPU performance and 10–30× GPU performance over Raspberry Pi 5, IOTA enables smooth execution of edge AI, TinyML, and embedded AI workloads
18              for next-generation intelligent systems.
19            </p> <p data-v-c62969f4 data-v-2c91ac9a>
20              Available in two configurations (8GB/64GB and 16GB/128GB), LattePanda IOTA supports both Windows and Linux, with adjustable TDP (6W–15W) for flexible scaling across robotics,
21              Industrial IoT (IIoT), and edge computing deployments.
22            </p> <p data-v-c62969f4 data-v-2c91ac9a>
23              Its compact form factor and expansion ecosystem — including UPS, PoE, M.2 M-Key, and 4G LTE modules — empower developers to build specialized solutions such as robotic control
24              gateways, machine vision edge devices, AI-powered robots, digital signage, autonomous logistics systems, and mobile data loggers.
25            </p> <p data-v-c62969f4 data-v-2c91ac9a>
26              With ultra-thin eDP touchscreen compatibility, LattePanda IOTA also excels in handheld instruments, portable medical devices, field research kits, and off-grid monitoring. The
27              integrated RP2040 co-processor ensures real-time control of motors, sensors, and speech interfaces, complementing the x86 system b
27y running TinyML models, managing I/O, and
28              accelerating transformer-based AI pipelines.
29            </p> <p data-v-c62969f4 data-v-2c91ac9a>
30              Leveraging the Intel N150 and RP2040 synergy, IOTA offers a powerful platform for robotics, embodied AI, and LLM acceleration at the edge, making it ideal for developers exploring
31              AI-driven automation, LLM-powered embedded systems, and next-generation robotic intelligence.
32            </p> <p data-v-c62969f4 data-v-2c91ac9a>
33              LattePanda IOTA — the expandable X86 mini computer designed for AI, robotics, and the future of edge intelligence.
34            </p></div></div> <footer data-v-2c91ac9a><div class="con"><div class="nav"> <div data-theme="pc" class="subscribe"><b>Get Smarter About LattePanda Progress</b> <p>Get our 5 mins weekly update on LattePanda news, projects, tips and hacks.</p> <div id="mc_embed_signup"><form action="https://dfrobot.us16.list-manage.com/subscribe/post?u=e384b3074873a648e7d3237cc&id=26c040441c&f_id=006f18e1f0" method="post" id="mc-embedded-subscribe-form" name="mc-embedded-subscribe-form" target="_blank" class="validate"><div id="mc_embed_signup_scroll"><div class="mc-field-group"><input type="email" name="EMAIL" id="mce-EMAIL" required="required" placeholder="Your email address" value="" class="required email"></div> <div hidden="hidden"><input type="hidden" name="tags" value="3339366"></div> <div id="mce-responses" class="clear"><div id="mce-error-response" class="response" style="display: none;"></div> <div id="mce-success-response" class="response" style="display: none;"></div></div> <div aria-hidden="true" style="position: absolute; left: -5000px;"><input type="text" name="b_e384b3074873a648e7d3237cc_26c040441c" tabindex="-1" value></div> <input type="submit" name="subscribe" id="mc-embedded-subscribe" value="Subscribe" class="button disabled"></div></form></div></div></div> <div class="copyright">Copyright © 2018 - 2026 LattePanda. All rights reserved.</div></div></footer></div></div> <div class="backTop" data-v-c62969f4><i class="icon iconfont icon-top-01" data-v-c62969f4></i> <span data-v-c62969f4>TOP</span></div></div></div> <!----></div></div></div></div>
34<script>window.__NUXT__=(function(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,A,B,C,D,E,F,G,H,I,J){return {layout:"pcmobile",data:[{canonicalUrl:h,imgDomain:"https:\u002F\u002Fdfimg.dfrobot.com",viewType:"pc",mobiileJs:[],setting:{childSite:[{class:i,icon:["https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002Fd795f917d157fc137ddf19b1dd792c22.png","https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002Fb193ce1af69c0a592bd19798e892eab3.png"],name:"Discord",url:"https:\u002F\u002Fdiscord.gg\u002FrX2BmEmFXH"},{class:i,icon:["https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002F791d5d609599968274163c4ccbcf4004.png","https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002F13a25e5aa3789dc446187a501b743d34.png"],name:p,url:q},{class:i,icon:["https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002Fa2406f5b3d09a04a239d56e100938c96.png","https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002F0e5e2ce0b4449f3fe3f00ad3b73d8efb.png"],name:"Reddit",url:"https:\u002F\u002Fwww.reddit.com\u002Fr\u002FLattePanda_Official\u002F?styling=true"},{class:e,icon:["https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002Fcfefb21f75b00eb75cf66c7f2588712e.png","https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002Fa109e740ba1cb694cf5e08a54cf4ecf1.png"],name:"facebook",url:"https:\u002F\u002Fwww.facebook.com\u002Flattepandacn\u002F"},{class:e,icon:["https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002F966ff6a9dd331c7f39d8581e1b3586ab.png","https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002F6547d766e32040380038ac9ac6ca171c.png"],name:"instagram",url:"https:\u002F\u002Fwww.instagram.com\u002Flattepanda_cn\u002F"},{class:e,icon:["https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002F71135bd7899e387d7b63d112bd7f7b50.png","https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002Fc88152e551087093b87d40e310d5ab43.png"],name:"twitter",url:"https:\u002F\u002Ftwitter.com\u002FLattePandaCN"},{class:e,icon:["https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002Fddd202f1b213ed5ec16ac7727fd188e1.png","https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002F1c080f28948d86abdd6f5589752c6a32.png"],name:"github",url:"https:\u002F\u002Fgithub.com\u002Flattepandateam"},{class:e,icon:["https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002F34d1be76c5390934b9cf459690727580.png","https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002F58a4df1e29f40d36642b82600b2f4a26.png"],name:"YouTube",url:"https:\u002F\u002Fwww.youtube.com\u002F@lattepanda6547"}],childSiteBG:["https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002Ff41cec4927f6d40b2979eb8c290aeabf.jpg","https:\u002F\u002Fdfimg.dfrobot.com\u002F5b162d5ce6313c632b15d738\u002Fdfapi\u002F066e4fb7809ad564d02ce70b554118de.png"],description:"Pocket-sized x86 Windows\u002FLinux Single board Computers.  Ultra Low power mini PC with integrated Arduino.",foot:[{key:b,name:"LattePanda Mu Ultra",target:a,url:"https:\u002F\u002Fwww.lattepanda.com\u002Flattepanda-mu-ultra"},{key:b,name:"LattePanda IOTA",target:a,url:h},{key:b,name:"LattePanda Mu",target:a,url:"https:\u002F\u002Fwww.lattepanda.com\u002Flattepanda-mu"},{key:b,name:"LattePanda Sigma",target:a,url:"https:\u002F\u002Fwww.lattepanda.com\u002Flattepanda-sigma"},{key:b,name:"LattePanda 3 Delta",order:r,target:a,url:"https:\u002F\u002Fwww.lattepanda.com\u002Flattepanda-3-delta"},{key:b,name:"LattePanda Alpha",order:r,target:a,url:"https:\u002F\u002Fwww.lattepanda.com\u002Flattepanda-alpha"},{key:b,name:"LattePanda Delta",target:a,url:"https:\u002F\u002Fwww.lattepanda.com\u002Flattepanda-delta"},{key:b,name:"LattePanda V1",target:a,url:"https:\u002F\u002Fwww.lattepanda.com\u002Flattepanda-v1"},{key:j,name:"Documentation",target:a,url:"http:\u002F\u002Fdocs.lattepanda.com\u002F"},{key:j,name:"Blog",target:d,url:"https:\u002F\u002Fwww.lattepanda.com\u002Fblog"},{key:j,name:p,target:d,url:q},{key:k,name:"Our Distributors",target:d,url:"https:\u002F\u002Fwww.lattepanda.com\u002Fdistributors"},{key:k,name:"Warranty",target:d,url:"https:\u002F\u002Fwww.lattepanda.com\u002Fwarranty"},{key:k,name:"Customize LattePanda",target:d,url:"https:\u002F\u002Fwww.lattepanda.com\u002Fcustomize"},{key:l,name:"About Us",target:d,url:"https:\u002F\u002Fwww.lattepanda.com\u002Faboutus"},{key:l,name:"Contact Us",target:d,url:"https:\u002F\u002Fwww.lattepanda.com\u002Fcontactus"},{key:l,name:"Site Map",target:a,url:"https:\u002F\u002Fwww.lattepanda.com\u002Fsitemap.xml"}],keyword:"LattePanda,LattePanda alpha,LattePanda 3, Single board computer, windows mini pc, low power PC, x86 SBC, x86 single board computer",mail:"[email protected]",subSeo:[{seoDesc:"Accessories for LattePanda such as Screen, enclosure, cables, shields, Hats and Kits",seoKeyword:"accessories  SEOKeyword",seoName:"accessories",seoTitle:"Accessories of LattePanda Single Board Computer | LattePanda"},{seoDesc:"Latest news, new products, events for single board computer. ",seoKeyword:"blog SEOKEYword",seoName:"blog",seoTitle:"News and  projects for single board computer | LattePanda"},{seoDesc:"Get LattePanda world widely from our distributors. ",seoKeyword:"Single board computer distributor , buy lattepanda,  latttepanda distributors",seoName:"distributors",seoTitle:"Distributors of LattePanda | LattePanda"}],title:"LattePanda - x86 Windows\u002FLinux Single Board Computers "},seoSetting:{seoTitle:c,seoKeyword:"LattePanda IOTA, Intel N150 SBC, expandable x86 computer, M.2 SBC, AI single-board computer, robotics development board, RP2040 co-processor, edge computing SBC, Windows\u002FLinux compatible",seoDescription:f},seo_schemas:[{type:m,json:{"@context":n,"@id":"https:\u002F\u002Fwww.lattepanda.com\u002Flattepanda-iota#breadcrumb","@type":"BreadcrumbList",itemListElement:[{"@type":s,position:1,name:"Home",item:"https:\u002F\u002Fwww.lattepanda.com\u002F"},{"@type":s,position:2,name:"product"}]}}
34,{type:m,json:{"@context":n,"@type":"Product",name:c,description:f,offers:{"@type":"AggregateOffer",lowPrice:171.8,highPrice:377.7,priceCurrency:"USD"},image:g,creditText:c}},{type:m,json:{"@context":n,"@type":"VideoObject",name:c,description:f,thumbnailUrl:[g],uploadDate:"2025-09-18T00:00:00.000Z",contentUrl:t,embedUrl:t}}],seo_meta_medias:[{hid:u,property:u,content:"en_US"},{hid:v,property:v,content:"website"},{hid:w,property:w,content:c},{hid:x,property:x,content:f},{hid:y,property:y,content:h},{hid:z,property:z,content:"Lattepanda Tech Support Forum"},{hid:A,property:A,content:g},{hid:B,property:B,content:c},{hid:C,property:C,content:"summary_large_image"},{hid:D,property:D,content:E},{hid:F,property:F,content:E},{hid:G,property:G,content:c},{hid:H,property:H,content:f},{hid:I,property:I,content:g},{hid:J,property:J,content:c}]}],fetch:{},error:o,state:{authUser:o},serverRendered:a,routePath:"\u002Flattepanda-iota",config:{app:{basePath:"\u002F",assetsPath:"\u002F_nuxt\u002F",cdnURL:o}}}}(true,"products","LattePanda IOTA - Expandable x86 SBC with Intel N150 for AI, Robotics & Edge Computing",false,"media","The LattePanda IOTA is a palm-sized x86 single-board computer powered by Intel N150 (4 cores, 3.6GHz), featuring 16GB LPDDR5 RAM, 128GB eMMC storage, and M.2 expansion for SSDs & AI accelerators. Designed for AI, robotics, and edge applications, it integrates an RP2040 co-processor for real-time control and supports Windows\u002FLinux.","https:\u002F\u002Fwww.lattepanda.com\u002Fseoimages\u002FlpIota.png","https:\u002F\u002Fwww.lattepanda.com\u002Flattepanda-iota","forum","support","customer service","information","application\u002Fld+json","https:\u002F\u002Fschema.org",null,"Forum","https:\u002F\u002Fwww.lattepanda.com\u002Fforum\u002F","","ListItem","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Dr1BywfPyOE","og:locale","og:type","og:title","og:description","og:url","og:site_name","og:image","og:image:alt","twitter:card","twitter:site","@lattepanda","twitter:creator","twitter:title","twitter:description","twitter:image","twitter:image:alt"));</script>
34<script src="/_nuxt/bd09486.js" defer></script>
34<script src="/_nuxt/334d7ba.js" defer></script>
34<script src="/_nuxt/26e1fb7.js" defer></script>
34<script src="/_nuxt/a012d71.js" defer></script>
34<script src="/_nuxt/110fbb6.js" defer></script>
34<script src="/_nuxt/de372ea.js" defer></script>
34<script src="/_nuxt/f3dbf78.js" defer></script>
34
35  </body>
36</html>

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.