Amazon Bedrock Is Now Generally Available – Build and Scale Generative AI Applications with Foundation Models | Amazon Web Services (1
Amazon Bedrock is a comprehensive service that is now generally available, allowing users to build and scale generative AI applications using high-performing foundation models (FMs) from top AI companies. This fully managed service simplifies the development process while maintaining privacy and security. With Amazon Bedrock, users have the flexibility to experiment with different FMs, customize them with their own data using techniques like fine-tuning and retrieval-augmented generation (RAG), and create managed agents that can perform complex business tasks, all without the need for coding.
One of the key advantages of Amazon Bedrock is its serverless architecture. Users don't have to worry about managing any infrastructure, as the service seamlessly integrates with existing AWS services. This means that users can easily integrate and deploy generative AI capabilities into their applications using the familiar AWS tools and services they already use.
Data privacy and network security are also prioritized in Amazon Bedrock. Users have full control over their data, and all inputs and customizations remain private to their AWS account. The data is encrypted both in transit and at rest, ensuring the highest level of security. Additionally, Amazon Bedrock allows users to configure their AWS account and virtual private cloud (VPC) to use Amazon VPC endpoints, which provide secure and private connectivity between applications running in a VPC and Amazon Bedrock.
To facilitate monitoring and governance, Amazon Bedrock integrates with Amazon CloudWatch and AWS CloudTrail. Users can use CloudWatch to track usage metrics and build customized dashboards for auditing purposes, while CloudTrail allows them to monitor API activity and troubleshoot any issues that may arise during integration with other systems.
When it comes to billing and pricing, Amazon Bedrock offers two models: on-demand and provisioned throughput. On-demand pricing allows users to pay for the service on a pay-as-you-go basis, without any time-based commitments. For larger and consistent inference workloads, provisioned throughput is available, providing guaranteed throughput in exchange for a term commitment.
Amazon Bedrock is currently available in AWS Regions US East (N. Virginia) and US West (Oregon). Users can access the available FMs through the AWS Management Console, AWS SDKs, and open-source frameworks such as LangChain. The Amazon Bedrock console provides a user-friendly interface to browse FMs, explore example use cases and prompts, and enable access to specific models. Users can try out different models and inference configuration settings to find the best fit for their use case.
In summary, Amazon Bedrock is a powerful and versatile service that enables users to build and scale generative AI applications with ease. Its fully managed approach, integration with AWS services, and focus on data privacy and security make it a valuable tool for developers and businesses. Whether you are a beginner or an experienced AI practitioner, Amazon Bedrock provides the necessary tools and capabilities to unlock the full potential of generative AI.
