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Organizations face a tough trade-off when adapting AI models to their specific business needs: settle for generic models that deliver mediocre results, or deal with the complexity and cost of advanced model customization. Traditional approaches force a choice between poor performance on smaller models or the high cost of deploying larger model variants and managing … Read more

Today, we’re announcing two new AI model training features within Amazon SageMaker HyperPod: checkpoint-free training, an approach that alleviates the need for traditional checkpoint-based recovery by enabling peer-to-peer state recovery, and elastic training, which enables automatic scaling of AI workloads based on resource availability. Training without checkpoints – Training without checkpoints eliminates disruptive checkpoint restart … Read more

Today we’re announcing two new features for Amazon S3 tables: support for the new Intelligent-Tiering storage class, which automatically optimizes costs based on access patterns, and replication support to automatically maintain consistent replicas of Apache Iceberg tables across AWS regions and accounts without manual synchronization. Organizations working with tabular data face two common problems. First, … Read more

Today, we’re announcing three new features for Amazon S3 Storage Lens that will give you deeper insight into your storage performance and usage patterns. With the addition of performance metrics, support for analyzing trillions of prefixes, and direct export to Amazon S3 tables, you have the tools you need to optimize application performance, reduce costs, … Read more

Modern applications increasingly require complex and long-term coordination between services, such as multi-step payment processing, orchestration of AI agents, or approval processes awaiting human decisions. Building them has traditionally required significant effort to implement health management, fault resolution, and integration of multiple infrastructure services. Starting today, you can use AWS Lambda’s robust functions to build … Read more

Since Amazon Web Services (AWS) introduced Savings Plans, customers have been able to reduce the cost of running persistent workloads while maintaining the flexibility to manage usage across AWS accounts, resource types, and regions. Today, we’re extending this flexible pricing model to AWS managed database services by introducing database storage plans that help customers reduce … Read more

Managing database environments requires a balance between resource efficiency and scalability. Organizations need flexible capabilities across the entire database lifecycle, including development, test, and production workloads with varying storage and compute requirements. To meet these needs, we are announcing four new features for Amazon Relational Database Service (Amazon RDS) that will help customers optimize their … Read more

Today, we’re announcing a major shift in how AWS Support helps customers move from reactive problem resolution to proactive problem prevention. This development introduces new support plans that combine AI-based capabilities with Amazon Web Services (AWS) expertise. New and improved plans help you identify and address potential issues before they impact your business operations, helping … Read more

Today, we’re expanding the capabilities of Amazon CloudWatch to unify and manage log data across operational, security, and compliance cases with flexible, powerful analytics in one place, and with reduced data duplication and costs. This enhancement means CloudWatch can automatically normalize and process data to offer consistency across sources with built-in support for Open Cybersecurity … Read more