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AWS serves decision models with llama.cpp on SageMaker

An AWS guide dated October 12 explains serving a GGUF model through a SageMaker AI endpoint using the standard Deep Learning Container, returning OpenAI-compatible chat responses. It includes CPU and GPU deployment options.

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An optional SemIf adapter returns probabilities for declared choices. Since llama-server does not expose logits and model state, the SemIf path builds a derived image with CodeBuild. The post is a deployment guide, not an independent performance comparison.

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AWS serves decision models with llama.cpp on SageMaker

AWS serves decision models with llama.cpp on SageMaker

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    An AWS guide dated October 12 explains serving a GGUF model through a SageMaker AI endpoint using the standard Deep Learning Container, returning OpenAI-compatible chat responses. It includes CPU and GPU deployment options.

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