AWS has entered the red-hot realm of generative AI with the introduction of a suite of generative AI development tools. The cornerstone of these is Amazon Bedrock, a tool for building generative AI applications using pre-trained foundation models accessible via an API through AI startups like AI21 Labs, Anthropic, and Stability AI, as well as Amazon's own Titan family of foundation models (FMs). Bedrock offers serverless integration with AWS tools and capabilities, enabling customers to find the right model for their needs, customize it with their data, and deploy it without managing costly infrastructure. Amazon states that the infrastructure supporting the Bedrock service will employ a mix of Amazon's proprietary AI chips (AWS Trainium and AWS Inferentia) and GPUs from Nvidia. AWS is positioning Bedrock as a way to democratize FMs, as training these large models can be prohibitively expensive for many companies.

Amazon Web Services (AWS), announced today that it is expanding its generative AI services in a bid to make the technology more available to organizations in the cloud. Among the new AWS cloud AI services is Amazon Bedrock, which is launching in preview as a set of foundation model AI services. The initial set of foundation models supported by the service include ones from AI21, Anthropic, and Stability AI as well as a set of new models developed by AWS known collectively as Amazon Titan. In addition, AWS is also announcing the general availability of Amazon EC2 Inf2 cloud instances powered by the company's own AWS Inferentia2 chips, which provide high performance for AI. Rounding out the updates, the Amazon CodeWhisperer generative AI service for code development is now generally available, with AWS making it free for all individual developers.