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 …
Amazon Bedrock Marketplace: Access over 100 foundation models in one place Read More »
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 …
Today, we’re announcing the general availability of Amazon SageMaker HyperPod task governance, a new innovation to easily and centrally manage and maximize GPU and Trainium utilization across generative AI model development tasks, such as training, fine-tuning, and inference. Customers tell us that they’re rapidly increasing investment in generative AI projects, but they face challenges in …
You may recall this year’s VeeamON included a Top-Secret Session teasing an exciting new product offering. Fast forward, and we’re now thrilled to announce Veeam Backup for Microsoft Entra ID is here! Why Back Up Microsoft Entra ID? You’ve probably heard the saying “It takes 20 years to build a reputation and five minutes to …
Veeam Backup for Microsoft Entra ID: Identification + Restoration = Business Resilience Read More »
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 …
Today, I’m very excited to announce the general availability of Amazon SageMaker Lakehouse, a capability that unifies data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and artificial intelligence and machine learning (AI/ML) applications on a single copy of data. SageMaker Lakehouse is a …
Simplify analytics and AI/ML with new Amazon SageMaker Lakehouse Read More »
Amazon DynamoDB, a serverless NoSQL database, has been a go-to solution for over one million customers to build low-latency and high-scale applications. As data grows, organizations are constantly seeking ways to extract valuable insights from operational data, which is often stored in DynamoDB. However, to make the most of this data in Amazon DynamoDB for …
New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse Read More »
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. This announcement includes Amazon SageMaker Data and AI Governance, a set of capabilities that streamline the management of data and AI assets. Data teams often face challenges …
