Generative AI needs massive computing power and large datasets, which makes the public cloud an ideal platform choice. From offering the foundation models as a service to training and fine-tuning generative AI models, public cloud providers are in a race to attract the developer community and the enterprise.
This article analyzes the evolving strategies of Amazon, Google, and Microsoft in the generative AI segment. The table below summarizes the current state of GenAI services offered by the key public cloud providers:
Amazon Web Services: Betting Big on Amazon Bedrock and Amazon Titan
Compared to its key competitors, AWS is late to the generative AI party. But they are quickly catching up.
When it comes to generative AI, there are three key services in which AWS is investing — Amazon Sagemaker JumpStart, Amazon Bedrock, and Amazon Titan.
Amazon SageMaker JumpStart is an environment to access, customize, and deploy ML models. AWS recently added support for foundation models, enabling customers to consume and fine-tune some of the most popular open source models. Through the partnership with Hugging Face, AWS made it easy to perform inference or fine-tune an existing model from a catalog of curated open source models. This is a quick approach to bringing generative AI capabilities to SageMaker.