{"id":520215,"date":"2026-04-05T17:10:30","date_gmt":"2026-04-06T00:10:30","guid":{"rendered":"https:\/\/jorgep.com\/blog\/?p=520215"},"modified":"2026-04-15T18:10:33","modified_gmt":"2026-04-16T01:10:33","slug":"what-kind-of-computer-do-i-need-to-run-gemma-4-locally","status":"publish","type":"post","link":"https:\/\/jorgep.com\/blog\/what-kind-of-computer-do-i-need-to-run-gemma-4-locally\/","title":{"rendered":"What Kind of Computer Do I need to run Gemma 4 Locally"},"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<style>.wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9, .wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9[data-kb-block=\"kb-adv-heading519190_b33a00-c9\"]{font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9[data-kb-block=\"kb-adv-heading519190_b33a00-c9\"] 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-heading519190_b33a00-c9 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9[data-kb-block=\"kb-adv-heading519190_b33a00-c9\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading519190_b33a00-c9 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading519190_b33a00-c9\"><strong>Disclaimer:<\/strong> <strong>I create this content entirely on my own time, and the views expressed here are mine alone (not my employer&#8217;s)<\/strong>. Because I love leveraging new tech, I use AI tools like Gemini, NotebookLM, Claude, Perplexity and others as a &#8220;digital team&#8221; to help research and polish these articles so I can share the best possible insights with you!<\/p>\n\n\n\n<p>I just posted yesterday <a href=\"https:\/\/jorgep.com\/blog\/local-ai-sovereignty-deploying-ollama-gemma-4-openwebui-and-n8n\/\" data-type=\"post\" data-id=\"520212\">Local AI Sovereignty: Deploying Ollama, Gemma 4, OpenWebUI, and n8n<\/a>  and I used Gemma 4 locally on Ollama.<\/p>\n\n\n\n<p>Someone asked me a good question:   What size computer (Windows PC) do I need tor it?<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What size computer do you need for Gemma 4?<\/h2>\n\n\n\n<p id=\"p-rc_255549ce09c386b7-40\">Google\u2019s April 2026 release of Gemma 4 changed the game by introducing <strong><a href=\"https:\/\/jorgep.com\/blog\/understanding-llm-mixture-of-experts-moe\/\">Mixture of Experts (MoE)<\/a><\/strong> and <strong>Effective (E)<\/strong> models. This means you can run much smarter AI on much smaller hardware.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Hardware Requirements: Gemma 4 Variants<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td><strong>Model Variant<\/strong><\/td><td><strong>Best Device<\/strong><\/td><td><strong>RAM Needed (4-bit)<\/strong><\/td><td><strong>Why it\u2019s special<\/strong><\/td><\/tr><\/thead><tbody><tr><td><strong>Gemma 4 E2B<\/strong><\/td><td>Phones \/ Tablets \/ Raspberry Pi 5<\/td><td><strong>~3-4 GB<\/strong><\/td><td>Includes native audio &amp; vision support.<\/td><\/tr><tr><td><strong>Gemma 4 E4B<\/strong><\/td><td>Laptops \/ Mini-PCs<\/td><td><strong>~6-8 GB<\/strong><\/td><td>The &#8220;Sweet Spot&#8221; for fast, local coding help.<\/td><\/tr><tr><td><strong>Gemma 4 26B MoE<\/strong><\/td><td>Ryzen AI \/ Mac M-Series \/ RTX 4070<\/td><td><strong>~16-18 GB<\/strong><\/td><td>Uses 128 &#8220;experts.&#8221; Fast as a 4B model, smart as a 26B.<\/td><\/tr><tr><td><strong>Gemma 4 31B Dense<\/strong><\/td><td>High-end Laptops \/ 64GB RAM PCs<\/td><td><strong>~22-24 GB<\/strong><\/td><td>The most powerful open-source model in its class.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">CPU vs. GPU: The 2026 Reality<\/h3>\n\n\n\n<p>In the past, running on a CPU was &#8220;painfully slow.&#8221; However, if you are using a <strong>Ryzen AI<\/strong> processor or an <strong>Apple M-series<\/strong> chip, the line is blurred.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>GPU\/NPU (Fast):<\/strong> Provides instant, &#8220;streaming&#8221; text (15-50+ tokens per second).<\/li>\n\n\n\n<li><strong>CPU (Slower):<\/strong> On modern 2026 hardware, you might get 3-8 tokens per second. It\u2019s no longer &#8220;30 seconds for a sentence,&#8221; but it\u2019s more like a steady typewriter.<\/li>\n<\/ul>\n\n\n\n<p><strong>So &#8220;CPU\/RAM Alternative&#8221; means:<\/strong><\/p>\n\n\n\n<p>Your regular laptop\/desktop&nbsp;<em>can<\/em>&nbsp;run the 4B Gemma model using its normal memory (16GB RAM) instead of buying a graphics card. But it&#8217;s painfully slow \u2014 you might wait 30 seconds for a sentence instead of getting instant responses.<\/p>\n\n\n\n<p><strong>When is CPU okay?<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Testing or experimentation<\/li>\n\n\n\n<li>Batch processing (not real-time chat)<\/li>\n\n\n\n<li>When you absolutely cannot buy a GPU<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">The Secret Sauce: 4-Bit Quantization<\/h3>\n\n\n\n<p>You might wonder how a &#8220;massive&#8221; model with 31 billion parameters can fit into 20GB of RAM when, mathematically, it should take up over 60GB. The secret is <strong>4-bit Quantization<\/strong>. Think of this like converting a high-resolution, uncompressed RAW photo into a high-quality JPEG. We are shrinking the &#8220;precision&#8221; of the model&#8217;s numbers from 16-bit to 4-bit. While this sounds like a huge loss, modern LLMs are incredibly resilient; you get a <strong>75% reduction in size<\/strong> and a massive boost in speed, with only a <strong>2-3% impact on intelligence<\/strong>. This is what transforms a model that previously required an enterprise data center into something that runs smoothly on your laptop.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The Verdict for your PC:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>16GB RAM:<\/strong> You can run <strong>E2B<\/strong> and <strong>E4B<\/strong> flawlessly while doing other work.<\/li>\n\n\n\n<li><strong>32GB RAM:<\/strong> You can run the <strong>26B MoE<\/strong> comfortably\u2014this is the &#8220;Gold Standard&#8221; for local AI sovereignty.<\/li>\n\n\n\n<li><strong>64GB RAM:<\/strong> You can run the massive <strong>31B Dense<\/strong> model and still have plenty of room for your Docker stack (n8n and OpenWebUI).<\/li>\n<\/ul>\n\n\n\n<p>On older PCs, the 4B model is a &#8216;fallback&#8217; for CPUs, but on modern Ryzen AI or Apple M-series chips, it runs at nearly instant speeds.&#8221;  For interactive use like a chatbot, you really want a GPU. The CPU option is more of a &#8220;it technically works&#8221; fallback.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading407818_afcbba-c7, .wp-block-kadence-advancedheading.kt-adv-heading407818_afcbba-c7[data-kb-block=\"kb-adv-heading407818_afcbba-c7\"]{font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading407818_afcbba-c7 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading407818_afcbba-c7[data-kb-block=\"kb-adv-heading407818_afcbba-c7\"] 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-heading407818_afcbba-c7 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading407818_afcbba-c7[data-kb-block=\"kb-adv-heading407818_afcbba-c7\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading407818_afcbba-c7 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading407818_afcbba-c7\">Have questions, ideas to share, or just want to connect? I\u2019d love to hear from you! Check out my <a href=\"https:\/\/jorgep.com\/blog\/about\/\">About Page<\/a> to learn more about me or connect with me.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I just posted yesterday Local AI Sovereignty: Deploying Ollama, Gemma 4, OpenWebUI, and n8n and I used Gemma 4 locally on Ollama. Someone asked me a good question: What size computer (Windows PC) do I need tor it? What size computer do you need for Gemma 4? Google\u2019s April 2026 release of Gemma 4 changed&#8230;<\/p>\n","protected":false},"author":2,"featured_media":520224,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","ngg_post_thumbnail":0,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[1031,441,446],"tags":[930,919,871,986,326],"class_list":["post-520215","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-learnings-series","category-tech-talk","category-tips-tools-resources","tag-ai-series","tag-docker","tag-genai","tag-local-ai","tag-windows"],"taxonomy_info":{"category":[{"value":1031,"label":"AI Learnings Series"},{"value":441,"label":"Tech Talk"},{"value":446,"label":"Tips, Tools &amp; Resources"}],"post_tag":[{"value":930,"label":"AI Series"},{"value":919,"label":"Docker"},{"value":871,"label":"GenAi"},{"value":986,"label":"Local AI"},{"value":326,"label":"Windows"}]},"featured_image_src_large":["https:\/\/jorgep.com\/blog\/wp-content\/uploads\/FeaturedImage-Gema4Locally-1024x512.jpg",1024,512,true],"author_info":{"display_name":"Jorge Pereira","author_link":"https:\/\/jorgep.com\/blog\/author\/jorge\/"},"comment_info":0,"category_info":[{"term_id":1031,"name":"AI Learnings Series","slug":"ai-learnings-series","term_group":0,"term_taxonomy_id":1041,"taxonomy":"category","description":"","parent":0,"count":19,"filter":"raw","cat_ID":1031,"category_count":19,"category_description":"","cat_name":"AI Learnings Series","category_nicename":"ai-learnings-series","category_parent":0},{"term_id":441,"name":"Tech Talk","slug":"tech-talk","term_group":0,"term_taxonomy_id":451,"taxonomy":"category","description":"","parent":0,"count":697,"filter":"raw","cat_ID":441,"category_count":697,"category_description":"","cat_name":"Tech Talk","category_nicename":"tech-talk","category_parent":0},{"term_id":446,"name":"Tips, Tools &amp; Resources","slug":"tips-tools-resources","term_group":0,"term_taxonomy_id":456,"taxonomy":"category","description":"","parent":0,"count":92,"filter":"raw","cat_ID":446,"category_count":92,"category_description":"","cat_name":"Tips, Tools &amp; Resources","category_nicename":"tips-tools-resources","category_parent":0}],"tag_info":[{"term_id":930,"name":"AI Series","slug":"ai-series","term_group":0,"term_taxonomy_id":940,"taxonomy":"post_tag","description":"","parent":0,"count":165,"filter":"raw"},{"term_id":919,"name":"Docker","slug":"docker","term_group":0,"term_taxonomy_id":929,"taxonomy":"post_tag","description":"","parent":0,"count":14,"filter":"raw"},{"term_id":871,"name":"GenAi","slug":"genai","term_group":0,"term_taxonomy_id":881,"taxonomy":"post_tag","description":"","parent":0,"count":86,"filter":"raw"},{"term_id":986,"name":"Local AI","slug":"local-ai","term_group":0,"term_taxonomy_id":996,"taxonomy":"post_tag","description":"","parent":0,"count":37,"filter":"raw"},{"term_id":326,"name":"Windows","slug":"windows","term_group":0,"term_taxonomy_id":336,"taxonomy":"post_tag","description":"","parent":0,"count":96,"filter":"raw"}],"_links":{"self":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/520215","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/comments?post=520215"}],"version-history":[{"count":4,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/520215\/revisions"}],"predecessor-version":[{"id":520223,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/520215\/revisions\/520223"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/media\/520224"}],"wp:attachment":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/media?parent=520215"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/categories?post=520215"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/tags?post=520215"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}