Organizations face a challenging trade-off when adapting AI models to their specific business needs: settle for generic models that produce average results, or tackle the complexity and expense of advanced model customization. Traditional approaches force a choice between poor performance with smaller models or the high costs of deploying larger model variants and managing complex […]
0 CommentsToday, I’m happy to announce new serverless customization in Amazon SageMaker AI for popular AI models, such as Amazon Nova, DeepSeek, GPT-OSS, Llama, and Qwen. The new customization capability provides an easy-to-use interface for the latest fine-tuning techniques like reinforcement learning, so you can accelerate the AI model customization process from months to days. With […]
0 CommentsToday, we’re announcing two new AI model training features within Amazon SageMaker HyperPod: checkpointless training, an approach that mitigates the need for traditional checkpoint-based recovery by enabling peer-to-peer state recovery, and elastic training, enabling AI workloads to automatically scale based on resource availability. Checkpointless training – Checkpointless training eliminates disruptive checkpoint-restart cycles, maintaining forward training […]
0 CommentsToday, we’re announcing two new capabilities for Amazon S3 Tables: support for the new Intelligent-Tiering storage class that automatically optimizes costs based on access patterns, and replication support to automatically maintain consistent Apache Iceberg table replicas across AWS Regions and accounts without manual sync. Organizations working with tabular data face two common challenges. First, they […]
0 CommentsToday, we’re announcing three new capabilities for Amazon S3 Storage Lens that give you deeper insights into your storage performance and usage patterns. With the addition of performance metrics, support for analyzing billions of prefixes, and direct export to Amazon S3 Tables, you have the tools you need to optimize application performance, reduce costs, and […]
0 CommentsToday, we’re announcing new capabilities in Amazon Bedrock AgentCore to further remove barriers holding AI agents back from production. Organizations across industries are already building on AgentCore, the most advanced agentic platform to build, deploy, and operate highly capable agents securely at any scale. In just 5 months since preview, the AgentCore SDK has been […]
0 CommentsModern applications increasingly require complex and long-running coordination between services, such as multi-step payment processing, AI agent orchestration, or approval processes awaiting human decisions. Building these traditionally required significant effort to implement state management, handle failures, and integrate multiple infrastructure services. Starting today, you can use AWS Lambda durable functions to build reliable multi-step applications […]
0 CommentsManaging database environments demands a balance of resource efficiency and scalability. Organizations need flexible options across their entire database lifecycle, spanning development, testing, and production workloads with diverse storage and compute requirements. To address these needs, we’re announcing four new capabilities for Amazon Relational Database Service (Amazon RDS) to help customers optimize their costs as […]
0 CommentsWe’re rounding up the most exciting and impactful announcements from AWS re:Invent 2025, which takes place November 30-December 4 in Las Vegas. This guide highlights the innovations that will help you build, scale, and transform your business in the cloud. We’ll update this roundup throughout re:Invent with our curation of the major announcements from each […]
0 CommentsToday, we’re announcing Amazon Route 53 Global Resolver, a new Amazon Route 53 service that provides secure and reliable DNS resolution globally for queries from anywhere (preview). You can use Global Resolver to resolve DNS queries to public domains on the internet and private domains associated with Route 53 private hosted zones. Route 53 Global […]
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