Cohere on AWS

Developers can access a range of Cohere language models in a private environment via Amazon’s AWS Cloud platform. Cohere’s models are supported on two Amazon services: Amazon SageMaker and Amazon Bedrock.

Amazon SageMaker

Amazon SageMaker is a service that allows customers to prepare data and build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. Read about SageMaker here.

Cohere offers a comprehensive suite of generative and embedding models through SageMaker on a range of hardware options, many of which support finetuning for deeper customization and performance.

View Cohere's products on Amazon SageMaker.

Amazon Bedrock

Amazon Bedrock is a fully managed service where foundational models from Cohere and other LLM providers are made available through a single, serverless API. Read about Bedrock here.

Cohere has two flagship offerings available on-demand through Bedrock: Command and the Embed v3 family of models. Finetuning is also supported for the Command and Command-Light models. Cohere will continue to add products and services to Bedrock in the coming months.

View Cohere’s products on Amazon Bedrock

Python SDK

The Cohere Python SDK supports both Amazon SageMaker and Amazon Bedrock. The SDK provides a simple and consistent interface for interacting with Cohere models across platforms.

cohere-aws SDK on Github


The latest pricing for Cohere models can all be viewed directly from from the listing pages on our Amazon Bedrock and Amazon SageMaker marketplaces. If you have any questions about pricing or deployment options, please contact our sales team.