Choosing between AWS PartyRock, Bedrock, and SageMaker

Paraphrased from an article by Karan Desai (last Modified Feb 1, 2024) -

If you are new to generative AI and want to learn the capabilities of what it can do, experiment with writing prompts and how it impacts the outputs generated by foundation models, all in a web UI without having to write any code - use AWS PartyRock

If you want to build generative AI applications using various foundation models accessed via APIs, want the ability to enhance the results with your proprietary datasets, without doing the heavy-lifting of managing the underlying infrastructure - use Amazon Bedrock

If you prefer to use your own foundation models, or models not offered on Amazon Bedrock, or want to control and customize the infrastructure such as type of compute and GPU for training and inference jobs of your generative AI applications - use Amazon SageMaker

Source: AWS SageMaker documentation

A bird's eye view of Gen AI products from the top Cloud providers -

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