Managed access to foundation models from several providers on AWS
Amazon Bedrock is AWS's managed service for running foundation models from several providers without operating any inference infrastructure. You call one API, and behind it sit models from Anthropic, Meta, Mistral, Cohere, Amazon and others, billed by usage and governed by the same identity and policy system as the rest of your account. Beyond raw inference it adds knowledge bases for managed retrieval, agents that call your functions, guardrails for filtering and evaluation jobs. It assumes an AWS account, the right region and a tolerance for console configuration.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
managed model inference on aws, enterprise retrieval, agent building and multi-vendor model access
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Bedrock is for using existing foundation models through a managed API. SageMaker is for building, training and hosting your own models. Many teams use Bedrock for inference and SageMaker only when they need custom training or their own container.
Models from several vendors, including Anthropic, Meta, Mistral, Cohere and Amazon's own families, though availability differs by region and changes as new versions launch. Check the region list before designing around a specific model.
Usage is charged through your normal AWS bill, either per token or per provisioned throughput unit, and it counts toward existing budgets and cost tags. There is no separate vendor account to open, which is convenient but easy to overlook.
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