Blog

Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging. In this post, we explore a solution that uses generative artificial intelligence (AI) to generate …

Read more “Unlock AWS Cost and Usage insights with generative AI powered by Amazon Bedrock”

Earlier this year, tens of thousands of developers gathered in Las Vegas for Google Cloud Next ’24, which culminated in hundreds of sessions and over 200 announcements. During the Developer Keynote, we showcased how Gemini can help with the shopping experience of an online store. Let’s dive into this demo and how it all worked …

Read more “Test it out: an online shopping demo experience with Gemini and RAG”

Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity. The FMs are typically pretrained on …

Read more “Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart”

We are thrilled to introduce Amazon Elastic Kubernetes Service (Amazon EKS) support in Amazon SageMaker HyperPod, a purpose-built infrastructure engineered with resilience at its core. This capability allows for the seamless addition of SageMaker HyperPod managed compute to EKS clusters, using automated node and job resiliency features for foundation model (FM) development. FMs are typically …

Read more “Introducing Amazon EKS support in Amazon SageMaker HyperPod”