Build Strands Agents with SageMaker AI models and MLflow | Amazon Web Services

基本信息

• 来源: blogs_podcasts
• 原始来源: https://aws.amazon.com/blogs/machine-learning/build-strands-agents-with-sagemaker-ai-models-and-mlflow

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Enterprises building AI agents often require more than what managed foundation model (FM) services can provide. They need precise control over performance tuning, cost optimization at scale, compliance and data residency, model selection, and networking configurations that integrate with existing security architectures. Amazon SageMaker AI endpoints align with these requirements by giving organizations control over compute resources, scaling behavior, and infrastructure placement, while benefiting from the managed operational layer of AWS. These models that are deployed by SageMaker AI, can power AI agents, handle conversational workloads, and integrate with orchestration frameworks like the FMs that are available on Amazon Bedrock.…

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