AWS

Today, we’re announcing the public preview of new Amazon Q Developer transformation capabilities for .NET, mainframe, and VMware workloads Amazon Q Developer accelerates large-scale transformation of enterprise workloads with domain-expert generative AI agents supervised by modernization teams in a unified collaborative web experience. Using the transformation capabilities of Amazon Q Developer, modernization teams can deliver …

Announcing Amazon Q Developer transformation capabilities for .NET, mainframe, and VMware workloads (preview) Read More »

The growing complexity of modern software makes troubleshooting difficult, requiring deep knowledge and manual work across various systems. This results in slower problem-solving and less efficient operations. More and more customers need automated tools to handle routine tasks and simplify complex processes, so they can resolve issues faster and focus on delivering inovations for their …

Investigate and remediate operational issues with Amazon Q Developer (in preview) Read More »

Amazon Q Developer has transformed the traditional development workflow by integrating a wide range of generative AI capabilities within the environments where developers work from. This seamless integration helps to maintain focus while accelerating a wide range of development tasks beyond coding for enhanced productivity. With its vast community of developers, GitLab is a popular …

Introducing GitLab Duo with Amazon Q Read More »

Today, we’re thrilled to announce Amazon Nova, a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry leading price performance, available exclusively in Amazon Bedrock. You can use Amazon Nova to lower costs and latency for almost any generative AI task. You can build on Amazon Nova to analyze complex documents …

Introducing Amazon Nova: Frontier intelligence and industry leading price performance Read More »

Today, we’re announcing the multi-agent collaboration capability for Amazon Bedrock (preview). With multi-agent collaboration, you can build, deploy, and manage multiple AI agents working together on complex multi-step tasks that require specialized skills. When you need more than a single agent to handle a complex task, you can create additional specialized agents to address different …

Introducing multi-agent collaboration capability for Amazon Bedrock (preview) Read More »

Today, we’re adding Automated Reasoning checks (preview) as a new safeguard in Amazon Bedrock Guardrails to help you mathematically validate the accuracy of responses generated by large language models (LLMs) and prevent factual errors from hallucinations. Amazon Bedrock Guardrails lets you implement safeguards for generative AI applications by filtering undesirable content, redacting personal identifiable information …

Prevent factual errors from LLM hallucinations with mathematically sound Automated Reasoning checks (preview) Read More »

Today, we’re announcing the availability of Amazon Bedrock Model Distillation in preview that automates the process of creating a distilled model for your specific use case by generating responses from a large foundation model (FM) called a teacher model and fine-tunes a smaller FM called a student model with the generated responses. It uses data …

Build faster, more cost-efficient, highly accurate models with Amazon Bedrock Model Distillation (preview) Read More »

AWS customers make use of Amazon Simple Storage Service (Amazon S3) at an incredible scale, regularly creating individual buckets that contain billions or trillions of objects! At that scale, finding the objects which meet particular criteria — objects with keys that match a pattern, objects of a particular size, or objects with a specific tag …

Introducing queryable object metadata for Amazon S3 buckets (preview) Read More »

Amazon S3 Tables give you storage that is optimized for tabular data such as daily purchase transactions, streaming sensor data, and ad impressions in Apache Iceberg format, for easy queries using popular query engines like Amazon Athena, Amazon EMR, and Apache Spark. When compared to self-managed table storage, you can expect up to 3x faster …

New Amazon S3 Tables: Storage optimized for analytics workloads Read More »

The new Amazon Elastic Compute Cloud (Amazon EC2) Trn2 instances and Trn2 UltraServers are the most powerful EC2 compute options for ML training and inference. Powered by the second generation of AWS Trainium chips (AWS Trainium2), the Trn2 instances are 4x faster, offer 4x more memory bandwidth, and 3x more memory capacity than the first-generation …

Amazon EC2 Trn2 Instances and Trn2 UltraServers for AI/ML training and inference are now available Read More »