{"version":1,"type":"story","url":"https://digestai.news/story/aws-shows-how-to-deploy-decision-models-with-llama-cpp-on-sagemaker-ai","json":"https://digestai.news/story/aws-shows-how-to-deploy-decision-models-with-llama-cpp-on-sagemaker-ai.json","markdown":"https://digestai.news/story/aws-shows-how-to-deploy-decision-models-with-llama-cpp-on-sagemaker-ai.md","slug":"aws-shows-how-to-deploy-decision-models-with-llama-cpp-on-sagemaker-ai","headline":"AWS shows how to deploy decision models with llama.cpp on SageMaker AI","summary":"AWS published a tutorial on deploying decision models using llama.cpp on Amazon SageMaker AI. The post demonstrates two deployment paths from the same GGUF model: a standard text-generation path serving OpenAI-compatible chat completions, and a structured-decision path using a SemIf adapter that returns probabilities over declared options instead of generated text. The structured-decision path builds a child container image via AWS CodeBuild and stores it in Amazon ECR, replacing the default server entry point with a SageMaker-compatible adapter. The sample uses a 4B Q4KM model as its quality-first default after smaller 2B and 0.8B models achieved 66.7% and 58.4% accuracy. The tutorial includes CPU and GPU deployment options, instance pool configuration for GPU fallback, and cleanup steps.","keyPoints":["AWS tutorial deploys llama.cpp decision models on SageMaker AI with two paths","SemIf adapter returns option probabilities instead of generated text"],"whyItMatters":"Shows enterprises how to serve structured decision models on managed infrastructure, enabling routing, policy checks, and agent action selection without parsing generated prose.","category":{"slug":"enterprise","name":"Enterprise & Industry","url":"https://digestai.news/category/enterprise"},"entities":{"companies":["AWS","Amazon","NVIDIA"],"models":["llama.cpp","SemIf","Strands Decider 2B"],"people":[]},"firstPublishedAt":"2026-10-12T15:51:46Z","updatedAt":"2026-10-12T15:51:46Z","sourceCount":1,"hasPrimarySource":true,"sources":[{"outlet":"AWS Machine Learning Blog","title":"Deploy decision models with llama.cpp on Amazon SageMaker AI","url":"https://aws.amazon.com/blogs/machine-learning/deploy-decision-models-with-llama-cpp-on-amazon-sagemaker-ai","publishedAt":"2026-10-12T15:51:46Z","type":"primary","primary":true,"lead":true}],"sourceNotes":null,"discussions":[],"thread":{"title":"The AI Model Format Evolution Saga","url":"https://digestai.news/thread/qwen3-8-27b-gguf-updated-with-new-tensor-layout","storyCount":6},"cite":{"text":"Digest AI, \"AWS shows how to deploy decision models with llama.cpp on SageMaker AI\", 12 October 2026, https://digestai.news/story/aws-shows-how-to-deploy-decision-models-with-llama-cpp-on-sagemaker-ai","publisher":"Digest AI","title":"AWS shows how to deploy decision models with llama.cpp on SageMaker AI","datePublished":"2026-10-12T15:51:46Z","url":"https://digestai.news/story/aws-shows-how-to-deploy-decision-models-with-llama-cpp-on-sagemaker-ai"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}