Starting at $0 Price for 1,000 input or $0.0004 for 1000 output tokens
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What is Amazon Bedrock?
Amazon Bedrock offers a way to build and scale generative AI applications with foundation models, providing a developer experience to work with a broad range of FMs from AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon.
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Amazon Titan models- Titan Text – Lite
$0.0003
Cloud
Price for 1,000 input or $0.0004 for 1000 output tokens
Cohere models - Command Light
$0.0003
Cloud
Price for 1,000 input
Cohere models - Command Light
$0.0006
Cloud
Price for 1,000 output
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://aws.amazon.com/bedrock/pricing
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
How To: Amazon Bedrock in 3 Minutes
YouTube
Integrating Foundation Models into Code with Amazon Bedrock
YouTube
AWS re:Inforce 2023 - Securely build generative AI apps & control data with Amazon Bedrock (APS208)
YouTube
Build a generative AI Virtual Assistant with Amazon Bedrock, Langchain and Amazon Elasticache
YouTube
Generative AI On AWS Has Arrived With Amazon Bedrock (Console Overview and Demo)
YouTube
Product Details
- About
- Integrations
- Competitors
- Tech Details
What is Amazon Bedrock?
Amazon Bedrock offers a way to build and scale generative AI applications with foundation models, providing a developer experience to work with a broad range of FMs from AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon.
A single API is used for inference regardless of the models chosen, offering the flexibility to use FMs from different providers and keep up to date with the latest model versions with minimal code changes. And users can privately customize FMs with an organization's own data through a visual interface without writing any code by simply selecting the training and validation data sets stored in Amazon Simple Storage Service (Amazon S3) and, if required, adjusting the hyperparameters to achieve the best possible model performance.
AI agents built on the platform can execute a variety of complex business tasks—from booking travel and processing insurance claims to creating ad campaigns, preparing tax filings, and managing inventory—by dynamically calling company systems and APIs. Fully managed agents for Amazon Bedrock extend the reasoning capabilities of FMs to break down tasks, create an orchestration plan, and execute it.
Since Amazon Bedrock is serverless, there is no infrastructure to manage, and it can be securely integrated with enterprise systems to deploy generative AI capabilities into applications using familiar AWS services.
A single API is used for inference regardless of the models chosen, offering the flexibility to use FMs from different providers and keep up to date with the latest model versions with minimal code changes. And users can privately customize FMs with an organization's own data through a visual interface without writing any code by simply selecting the training and validation data sets stored in Amazon Simple Storage Service (Amazon S3) and, if required, adjusting the hyperparameters to achieve the best possible model performance.
AI agents built on the platform can execute a variety of complex business tasks—from booking travel and processing insurance claims to creating ad campaigns, preparing tax filings, and managing inventory—by dynamically calling company systems and APIs. Fully managed agents for Amazon Bedrock extend the reasoning capabilities of FMs to break down tasks, create an orchestration plan, and execute it.
Since Amazon Bedrock is serverless, there is no infrastructure to manage, and it can be securely integrated with enterprise systems to deploy generative AI capabilities into applications using familiar AWS services.
Additionally, Amazon Bedrock offers a playground so users can experiment with various FMs using a conversational chat interface. With a web interface inside the AWS Management Console to supply a prompt, pretrained models can be used to generate text or images, or alternatively use a fine-tuned model that has been adapted for any use case.
Amazon Bedrock Video
Introducing Amazon Bedrock
Amazon Bedrock Integrations
Amazon Bedrock Competitors
Amazon Bedrock Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |