Amazon Bedrock, which was announced in April 2023, has drawn a lot of attention from businesses looking to leverage their existing AWS architecture for building Generative AI applications. Amazon announced the General Availability (GA) of Bedrock on September 28 — a service that offers a choice of Generative AI models from Amazon and third-party providers through an API-based interface.
With the current market landscape (high demand for leveraging GAI for building innovative business capabilities) and increasing competitive offerings (Azure’s OpenAI partnership & Azure AI and Google Cloud’s Vertex AI and Duet AI), expanding the capabilities of its end-to-end Generative AI landscape has been a key priority for Amazon. Amazon Bedrock is the foundational building block to provide these GAI capabilities along with the existing AWS ecosystem of 30+ AI and ML Services.
While there are many features as part of the offering, this article summarizes key features that help enterprise organizations elevate their AI journey by addressing their novel concerns:
Unified Serverless Abstraction Layer for Foundation Models
Amazon Bedrock provides a serverless abstraction to the foundation models from leading providers like AI21 Labs, Anthropic, Cohere, Meta, Stability AI and Amazon. With AWS's in-built security, scalability, performance and manageability — it is a key differentiator for existing AWS customers. Note that Bedrock provides provisioned throughput capability to ensure a consistent user experience during peak traffic hours.
AWS provides Boto3 — a Python-based SDK as a unified interface to interface with different foundation models.