Gemma 3 27B is the largest open model in Google’s Gemma 3 line \u2014 multimodal across text
\nand images, 128K context, 140+ languages \u2014 and the strongest single-GPU local model in its
\nclass. It needs roughly 16 GB of VRAM at 4-bit, so an RTX 4080 16GB or an RTX 4090.<\/p>\n
The phrase “single-GPU” is what makes it interesting. Above this size, open models tend to What is Gemma 3 27B? Gemma 3 27B is the largest open model in Google’s Gemma 3 line \u2014 multimodal […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","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":"","ast-disable-related-posts":"","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-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":"","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-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":"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":""},"mobile":{"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":""}},"cm_developer":"Google","cm_model_type":"LLM (multimodal)","cm_modality":"Text, Image \u2192 Text","cm_parameters":"27B","cm_context_window":"128K","cm_max_output":"","cm_license":"Gemma (open)","cm_open_weights":"yes","cm_release_date":"2025","cm_input_price":"0.08","cm_output_price":"0.16","cm_api_providers":"Google AI Studio, OpenRouter, Ollama","cm_vram_fp16":"","cm_vram_q4":"~16 GB","cm_min_gpu":"RTX 4080 16GB \/ RTX 4090","cm_benchmarks":"","cm_official_url":"https:\/\/huggingface.co\/google"},"class_list":["post-1238","ai_model","type-ai_model","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/ai_model\/1238","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/ai_model"}],"about":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/types\/ai_model"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/de\/wp-json\/wp\/v2\/media?parent=1238"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\njump straight to multi-GPU servers: 70B-class models want 40 GB, and the large
\nmixture-of-experts flagships want hundreds. Gemma 3 27B is close to the ceiling of what one
\nconsumer card can hold while remaining genuinely capable, which makes it the practical
\nmaximum for a workstation deployment. Teams that need on-premises inference for compliance
\nreasons, and can live with 27B-class quality rather than frontier quality, can serve it from
\na single machine instead of a rack. The API price of $0.08 in \/ $0.16 out per million tokens
\nis low enough that self-hosting only pays at sustained volume \u2014 worth checking against the
\nSelbsthosting vs. API
\nRechner<\/a> before buying hardware.<\/p>","protected":false},"excerpt":{"rendered":"