{"id":520212,"date":"2026-04-04T21:36:00","date_gmt":"2026-04-05T04:36:00","guid":{"rendered":"https:\/\/jorgep.com\/blog\/?p=520212"},"modified":"2026-04-15T14:43:38","modified_gmt":"2026-04-15T21:43:38","slug":"local-ai-sovereignty-deploying-ollama-gemma-4-openwebui-and-n8n","status":"publish","type":"post","link":"https:\/\/jorgep.com\/blog\/local-ai-sovereignty-deploying-ollama-gemma-4-openwebui-and-n8n\/","title":{"rendered":"Local AI Sovereignty: Deploying Ollama, Gemma 4, OpenWebUI, and n8n"},"content":{"rendered":"\n<div class=\"wp-block-columns has-theme-palette-7-background-color has-background is-layout-flex wp-container-core-columns-is-layout-2edb0647 wp-block-columns-is-layout-flex\" style=\"margin-top:0;margin-bottom:0\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:80%\">\n<p>Part of: <strong> <a href=\"https:\/\/jorgep.com\/blog\/series-ai-learnings\/\">AI Learning Series Here<\/a><\/strong><\/p>\n\n\n<style>.kadence-column395113_97b87a-23 > .kt-inside-inner-col,.kadence-column395113_97b87a-23 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column395113_97b87a-23 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_97b87a-23 > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_97b87a-23 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_97b87a-23 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_97b87a-23{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_97b87a-23 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_97b87a-23 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_97b87a-23\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99, .wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99[data-kb-block=\"kb-adv-heading510545_15a085-99\"]{font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99[data-kb-block=\"kb-adv-heading510545_15a085-99\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99[data-kb-block=\"kb-adv-heading510545_15a085-99\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading510545_15a085-99 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading510545_15a085-99\">Quick Links:\u00a0<a href=\"https:\/\/jorgep.com\/blog\/resources-for-learning-ai\/\">Resources for Learning AI<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/keeping-up-with-ai\/\">Keep up with AI<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/list-of-ai-tools\/\" data-type=\"post\" data-id=\"402818\">List of AI Tools<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/local-ai-series\/\" data-type=\"page\" data-id=\"519365\">Local AI<\/a><\/p>\n<\/div><\/div>\n\n\n<style>.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-none, 0rem );padding-top:var(--global-kb-spacing-xxs, 0.5rem);padding-bottom:var(--global-kb-spacing-xxs, 0.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id395113_d73e95-0d > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id395113_d73e95-0d alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column395113_df36f9-de > .kt-inside-inner-col,.kadence-column395113_df36f9-de > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column395113_df36f9-de > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_df36f9-de > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_df36f9-de > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_df36f9-de > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_df36f9-de{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_df36f9-de > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_df36f9-de > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_df36f9-de\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9, .wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9[data-kb-block=\"kb-adv-heading395113_b3212c-b9\"]{text-align:center;font-size:var(--global-kb-font-size-sm, 0.9rem);line-height:60px;font-style:normal;background-color:#f5a511;}.wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9[data-kb-block=\"kb-adv-heading395113_b3212c-b9\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9[data-kb-block=\"kb-adv-heading395113_b3212c-b9\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading395113_b3212c-b9 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading395113_b3212c-b9\">Subscribe to <a href=\"https:\/\/go.35s.be\/jtb\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>JorgeTechBits  newsletter<\/strong><\/a><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column395113_4b4b81-29 > .kt-inside-inner-col,.kadence-column395113_4b4b81-29 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column395113_4b4b81-29 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_4b4b81-29 > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_4b4b81-29 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_4b4b81-29 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_4b4b81-29{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_4b4b81-29 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_4b4b81-29 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_4b4b81-29\"><div class=\"kt-inside-inner-col\"><\/div><\/div>\n\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><a href=\"htthttps:\/\/jorgep.com\/blog\/book-dont-just-chat-delegate\/\"><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"1024\" src=\"https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-640x1024.jpg\" alt=\"\" class=\"wp-image-520234\" style=\"aspect-ratio:0.6250142320391666;width:98px;height:auto\" srcset=\"https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-640x1024.jpg 640w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-188x300.jpg 188w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-768x1229.jpg 768w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-960x1536.jpg 960w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-1280x2048.jpg 1280w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01.jpg 1600w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><figcaption class=\"wp-element-caption\"><a href=\"https:\/\/jorgep.com\/blog\/book-series-ai-dont-just-chat\/\" data-type=\"page\" data-id=\"520242\">Check out the Book Series<\/a><\/figcaption><\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n<p><br><strong><em>To learn more about Local AI topics, check out <a href=\"https:\/\/jorgep.com\/blog\/local-ai-series\/\">related posts in the Lo<\/a><a href=\"https:\/\/jorgep.com\/blog\/local-ai-series\/\" target=\"_blank\" rel=\"noreferrer noopener\">cal AI Series<\/a>\u00a0<\/em><\/strong><\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>With 64GB of RAM and the latest Ryzen AI silicon, you are no longer a mere consumer of AI\u2014you are a host. This setup leverages AMD\u2019s XDNA architecture to run <strong>Gemma 4<\/strong> and \/ or and <strong>Qwen 3.5<\/strong> locally, ensuring your data never leaves your machine while providing a professional-grade automation suite via Docker.<\/p>\n\n\n\n<p>This is an update to my <a href=\"https:\/\/jorgep.com\/blog\/building-your-local-ai-lab-single-docker-image\/\" data-type=\"post\" data-id=\"520200\">previous article <\/a>on setting up local AI. Also if you have more than 64Gb  you could read my other blog post here:  <a href=\"https:\/\/jorgep.com\/blog\/local-ai-series\/\" data-type=\"page\" data-id=\"519365\">Local AI Series<\/a><\/p>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 1: Install Ollama Desktop (The Engine)<\/h3>\n\n\n\n<p id=\"p-rc_734bff05d38e60ff-19\">Ollama acts as the bridge between your Ryzen AI hardware and the Large Language Models.<sup><\/sup><\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>Download:<\/strong> Visit <a href=\"https:\/\/ollama.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">ollama.com<\/a> and download the Windows installer.<\/li>\n\n\n\n<li><strong>Install:<\/strong> Run the <code>.exe<\/code>. It will automatically configure the background service.<\/li>\n\n\n\n<li><strong>Optimization:<\/strong> Ensure your <strong>AMD IPU drivers<\/strong> are updated to the latest version (April 2026). This allows Ollama to offload computation to the Ryzen NPU, keeping your CPU cool and your fans quiet.<\/li>\n\n\n\n<li><strong>Verify:<\/strong> Open PowerShell and type <code>ollama --version<\/code> to confirm it\u2019s active.<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">Step 2: Download Gemma 4<\/h3>\n\n\n\n<p>Google&#8217;s Gemma 4 is optimized specifically for local execution. With 64GB of RAM, you can comfortably run the <strong>31B parameter<\/strong> version for high-reasoning tasks.<\/p>\n\n\n\n<p>In your terminal, run:<\/p>\n\n\n\n<p>Bash<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>ollama run gemma4:31b\n<\/code><\/pre>\n\n\n\n<p id=\"p-rc_734bff05d38e60ff-21\"><em>Wait for the download to complete. Once finished, you can chat directly in the terminal to test performance.<\/em><sup><\/sup><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step 3: Deploy the Docker Stack (The Interface &amp; Logic)<\/h3>\n\n\n\n<p>We will now use Docker to wrap your engine in a beautiful UI (<strong>OpenWebUI<\/strong>) and a powerful workflow engine (<strong>n8n<\/strong>).<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>Create a Directory:<\/strong> Create a folder named <code>AI-Stack<\/code> on your drive.<\/li>\n\n\n\n<li><strong>Create Data Folder:<\/strong> Inside <code>AI-Stack<\/code>, create a folder named <code>data<\/code> (this is required for n8n persistence).<\/li>\n\n\n\n<li><strong>Compose File:<\/strong> Save the following as <code>docker-compose.yml<\/code> inside your <code>AI-Stack<\/code> folder:<\/li>\n<\/ol>\n\n\n\n<p>YAML<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>services:\n  ollama:\n    image: ollama\/ollama\n    container_name: ollama\n    volumes:\n      - ollama_data:\/root\/.ollama\n    ports:\n      - \"11434:11434\"\n    environment:\n      - OLLAMA_HOST=0.0.0.0\n    networks:\n      - ai-network\n    restart: unless-stopped\n\n  open-webui:\n    image: ghcr.io\/open-webui\/open-webui:main\n    container_name: open-webui\n    ports:\n      - \"3000:8080\"\n    environment:\n      - OLLAMA_BASE_URL=http:\/\/ollama:11434\n    volumes:\n      - open_webui_data:\/app\/backend\/data\n    networks:\n      - ai-network\n    restart: unless-stopped\n\n  n8n:\n    image: n8nio\/n8n:latest\n    container_name: n8n\n    ports:\n      - \"5678:5678\"\n    environment:\n      - N8N_HOST=192.168.4.88\n      - WEBHOOK_URL=http:\/\/192.168.4.88:5678\/\n      - OLLAMA_HOST=http:\/\/ollama:11434\n      - N8N_SECURE_COOKIE=false\n      - N8N_BLOCKS_ENABLE_ALL=true\n    volumes:\n      - n8n_data:\/home\/node\/.n8n\n      - .\/data:\/home\/node\/data\n    networks:\n      - ai-network\n    restart: unless-stopped\n\nnetworks:\n  ai-network:\n\nvolumes:\n  ollama_data:\n  n8n_data:\n  open_webui_data:\n<\/code><\/pre>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\">\n<li><strong>Launch:<\/strong> In your terminal, navigate to the folder and run:<\/li>\n<\/ol>\n\n\n\n<p>Bash<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>docker-compose up -d\n<\/code><\/pre>\n\n\n\n<h3 class=\"wp-block-heading\">Step 4: Network Access &amp; URLs<\/h3>\n\n\n\n<p>To access your tools from other computers on your local network (Wi-Fi\/Ethernet), use the following URLs:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td><strong>Service<\/strong><\/td><td><strong>Local Access (Same PC)<\/strong><\/td><td><strong>Network Access (Other PC)<\/strong><\/td><\/tr><\/thead><tbody><tr><td><strong>OpenWebUI<\/strong><\/td><td><code>http:\/\/localhost:3000<\/code><\/td><td><code>http:\/\/192.168.4.88:3000<\/code><\/td><\/tr><tr><td><strong>n8n<\/strong><\/td><td><code>http:\/\/localhost:5678<\/code><\/td><td><code>http:\/\/192.168.4.88:5678<\/code><\/td><\/tr><tr><td><strong>Ollama API<\/strong><\/td><td><code>http:\/\/localhost:11434<\/code><\/td><td><code>http:\/\/192.168.4.88:11434<\/code><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Step 5: Enabling Web Search<\/h3>\n\n\n\n<p>Give Gemma 4 &#8220;eyes&#8221; on the internet by configuring Web Search in OpenWebUI:<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>Open <code>http:\/\/localhost:3000<\/code>.<\/li>\n\n\n\n<li>Go to <strong>Settings > Web Search<\/strong>.<\/li>\n\n\n\n<li>Toggle <strong>Web Search<\/strong> to <strong>On<\/strong>.<\/li>\n\n\n\n<li>Set the <strong>Search Engine<\/strong> to <code>searxng<\/code> or <code>google_pse<\/code> (if using an API key). If you want a zero-config option, use the <strong>Tavily<\/strong> or <strong>DuckDuckGo<\/strong> providers within the settings list.<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">Step 6: Recommended Next LLMs<\/h3>\n\n\n\n<p>Your 64GB RAM allows for a &#8220;Model Zoo.&#8221; Here are the next three you should pull:<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>The Logic King: Qwen 3.5 (32B or 35B MoE) &#8211;  Alibaba\u2019s Qwen 3.5 is currently the gold standard for <strong>n8n automation<\/strong>. It follows instructions perfectly and rarely &#8220;breaks&#8221; its JSON formatting.\n<ul class=\"wp-block-list\">\n<li><strong>Command:<\/strong> <code>ollama run qwen3.5:32b<\/code><\/li>\n\n\n\n<li><strong>Why:<\/strong> Use this as your default model inside n8n for reliable tool-calling.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Llama 4 Scout (30B):<\/strong> Best-in-class general reasoning.\n<ul class=\"wp-block-list\">\n<li><code>ollama pull llama4:scout<\/code><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>DeepSeek V3.2 (Reasoning):<\/strong> Essential for coding and mathematical logic.\n<ul class=\"wp-block-list\">\n<li><code>ollama pull deepseek-v3.2:reasoning<\/code><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Mistral-Large-2026 (123B-Quantized):<\/strong> With 64GB, you can run a 4-bit quantized version of this giant for near-GPT-4o performance.\n<ul class=\"wp-block-list\">\n<li><code>ollama pull mistral-large:q4_k_m<\/code><\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">Conclusion<\/h3>\n\n\n\n<p>By self-hosting this stack, you&#8217;ve created a private, high-speed AI laboratory. Your Ryzen AI processor will handle the heavy lifting, while n8n and OpenWebUI provide the brains and the beauty. Welcome to the future of local computing.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>With 64GB of RAM and the latest Ryzen AI silicon, you are no longer a mere consumer of AI\u2014you are a host. This setup leverages AMD\u2019s XDNA architecture to run Gemma 4 and \/ or and Qwen 3.5 locally, ensuring your data never leaves your machine while providing a professional-grade automation suite via Docker. 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