--- title: Amazon SageMaker AI serverless model customization now... description: Amazon SageMaker AI serverless model customization now supports full fine-tuning for over 25 open-source models, including models from GPT-OSS, Gemma, Llama,... canonical: https://daily.dev/posts/amazon-sagemaker-ai-serverless-model-customization-now-supports-full-fine-tuning-5ecrm53kv twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Amazon SageMaker AI serverless model customization now supports full fine-tuning | daily.dev og:description: Amazon SageMaker AI serverless model customization now supports full fine-tuning for over 25 open-source models, including models from GPT-OSS, Gemma, Llama,... og:url: https://daily.dev/posts/amazon-sagemaker-ai-serverless-model-customization-now-supports-full-fine-tuning-5ecrm53kv og:image: https://api.daily.dev/og/posts/5EcrM53KV.png og:image:alt: Amazon SageMaker AI serverless model customization now supports full fine-tuning og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Amazon SageMaker AI serverless model customization now supports full fine-tuning **[AWS](https://daily.dev/sources/aws)** · 2 min read · 1 upvotes · 0 comments ## Summary Amazon SageMaker AI serverless model customization now supports full fine-tuning for over 25 open-source models, including models from GPT-OSS, Gemma, Llama, Nemotron, and Qwen families. Unlike parameter-efficient methods like LoRA, full fine-tuning updates all model parameters, enabling deeper domain adaptation for specialized reasoning, complex output formats, and large proprietary datasets. SageMaker handles all infrastructure provisioning and training orchestration, so users pay only for what they use. Available in select AWS regions via JumpStart in SageMaker Studio or the SageMaker Python SDK. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### Does Amazon SageMaker serverless model customization support full fine-tuning, not just LoRA? Yes, Amazon SageMaker AI serverless model customization now supports full fine-tuning in addition to parameter-efficient methods like LoRA, for over 25 open-source models including gpt-oss, Gemma, Llama, Nemotron, and Qwen families. Full fine-tuning updates all model parameters rather than a small subset, enabling deeper adaptation such as specialized reasoning patterns or internalizing domain knowledge from large proprietary datasets. _Teams weighing full fine-tuning versus LoRA on SageMaker can track capability updates like this on daily.dev._ ### Which AWS regions support serverless full fine-tuning in SageMaker? Serverless full fine-tuning on Amazon SageMaker is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland). Jobs can be launched from the JumpStart and Models page in SageMaker Studio or via the SageMaker Python SDK, with no infrastructure provisioning required and pay-per-use billing. _Developers planning multi-region ML workloads follow region rollout details like this on daily.dev._ ## Similar posts on daily.dev - [Amazon SageMaker AI now supports serverless model customization for Gemma 4 models](https://daily.dev/posts/amazon-sagemaker-ai-now-supports-serverless-model-customization-for-gemma-4-models-xmruun7nd) · AWS · 2 upvotes · 0 comments - [New serverless model customization capability in Amazon SageMaker AI](https://daily.dev/posts/new-serverless-model-customization-capability-in-amazon-sagemaker-ai-i5g9gpni5) · AWS · 1 upvotes · 0 comments - [Mastering Model Adaptation: A Guide to Fine-Tuning on Google Cloud](https://daily.dev/posts/mastering-model-adaptation-a-guide-to-fine-tuning-on-google-cloud-lg6pheaxe) · Google Cloud · 1 upvotes · 0 comments - [Fine-tune NVIDIA Nemotron 3 models with Amazon SageMaker AI serverless model customization](https://daily.dev/posts/fine-tune-nvidia-nemotron-3-models-with-amazon-sagemaker-ai-serverless-model-customization-osogwc5ok) · AWS · 1 upvotes · 0 comments - [Running local models is good now](https://daily.dev/posts/running-local-models-is-good-now-q20vqhe78) · Lobsters · 1 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#aws](https://daily.dev/tags/aws), [#llm](https://daily.dev/tags/llm), [#deep-learning](https://daily.dev/tags/deep-learning), [#serverless](https://daily.dev/tags/serverless) [View this post on daily.dev](https://daily.dev/posts/amazon-sagemaker-ai-serverless-model-customization-now-supports-full-fine-tuning-5ecrm53kv) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Amazon SageMaker AI serverless model customization now supports full fine-tuning","url":"https://daily.dev/posts/amazon-sagemaker-ai-serverless-model-customization-now-supports-full-fine-tuning-5ecrm53kv","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/amazon-sagemaker-ai-serverless-model-customization-now-supports-full-fine-tuning-5ecrm53kv"},"datePublished":"2026-08-03T21:05:04.421Z","dateModified":"2026-09-14T08:55:37.629Z","description":"Amazon SageMaker AI serverless model customization now supports full fine-tuning for over 25 open-source models, including models from GPT-OSS, Gemma, Llama,...","image":"https://media.daily.dev/image/upload/s--CxzD6vbw--/f_auto/v1722860399/public/Placeholder%2005","thumbnailUrl":"https://media.daily.dev/image/upload/s--CxzD6vbw--/f_auto/v1722860399/public/Placeholder%2005","isAccessibleForFree":true,"articleSection":"AWS","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"AWS","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/aws","url":"https://daily.dev/sources/aws"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/amazon-sagemaker-ai-serverless-model-customization-now-supports-full-fine-tuning-5ecrm53kv","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"machine-learning,aws,llm,deep-learning,serverless","timeRequired":"PT2M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"AWS","item":"https://daily.dev/sources/aws"},{"@type":"ListItem","position":3,"name":"Amazon SageMaker AI serverless model customization now supports full fine-tuning"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/amazon-sagemaker-ai-serverless-model-customization-now-supports-full-fine-tuning-5ecrm53kv#faq","mainEntity":[{"@type":"Question","name":"Does Amazon SageMaker serverless model customization support full fine-tuning, not just LoRA?","acceptedAnswer":{"@type":"Answer","text":"Yes, Amazon SageMaker AI serverless model customization now supports full fine-tuning in addition to parameter-efficient methods like LoRA, for over 25 open-source models including gpt-oss, Gemma, Llama, Nemotron, and Qwen families. 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