Today, Amazon Bedrock has introduced in preview two capabilities that help reduce costs and latency for generative AI applications: Amazon Bedrock Intelligent Prompt Routing – When invoking a model, you can now use a combination of foundation models (FMs) from the same model family to help optimize for quality and cost. For example, with the…
Today, we’re introducing Amazon Bedrock Marketplace, a new capability that gives you access to over 100 popular, emerging, and specialized foundation models (FMs) through Amazon Bedrock. With this launch, you can now discover, test, and deploy new models from enterprise providers such as IBM and Nvidia, specialized models such as Upstages’ Solar Pro for Korean language…
Today, we’re announcing the general availability of Amazon SageMaker HyperPod flexible training plans to help data scientists train large foundation models (FMs) within their timelines and budgets and save them weeks of effort in managing the training process based on compute availability. At AWS re:Invent 2023, we introduced SageMaker HyperPod to reduce the time to…
As AI continues to redefine the way businesses operate, organizations are facing new challenges and demands on their technology platforms. Today’s enterprises want systems that can handle massive amounts of data to support real-time insights while also helping them overcome the challenge of working with operations, applications, data, and infrastructure across IT and OT environments—whether…
Today, we announced the next generation of Amazon SageMaker, which is a unified platform for data, analytics, and AI, bringing together widely-adopted AWS machine learning and analytics capabilities. At its core is SageMaker Unified Studio (preview), a single data and AI development environment for data exploration, preparation and integration, big data processing, fast SQL analytics,…
Today, we announced the general availability of Amazon SageMaker Lakehouse and Amazon Redshift support for zero-ETL integrations from applications. Amazon SageMaker Lakehouse unifies all your data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. SageMaker Lakehouse…