Announcements

Auto Added by WPeMatico

Introducing auto scaling on Amazon SageMaker HyperPod

Amazon SageMaker HyperPod, Announcements /

Today, we’re excited to announce that Amazon SageMaker HyperPod now supports managed node automatic scaling with Karpenter, so you can efficiently scale your SageMaker HyperPod clusters to meet your inference and training demands. Real-time inference workloads require automatic scaling to address unpredictable traffic patterns and maintain service level agreements (SLAs). As demand spikes, organizations must […]

Introducing auto scaling on Amazon SageMaker HyperPod Read More »

Mercury foundation models from Inception Labs are now available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart

Amazon Bedrock, Amazon SageMaker JumpStart, Announcements /

Today, we are excited to announce that Mercury and Mercury Coder foundation models (FMs) from Inception Labs are available through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, you can deploy the Mercury FMs to build, experiment, and responsibly scale your generative AI applications on AWS. In this post, we demonstrate how to

Mercury foundation models from Inception Labs are now available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart Read More »

Fine-tune OpenAI GPT-OSS models using Amazon SageMaker HyperPod recipes

Amazon SageMaker, Amazon SageMaker AI, Announcements, Artificial Intelligence, Foundation models /

This post is the second part of the GPT-OSS series focusing on model customization with Amazon SageMaker AI. In Part 1, we demonstrated fine-tuning GPT-OSS models using open source Hugging Face libraries with SageMaker training jobs, which supports distributed multi-GPU and multi-node configurations, so you can spin up high-performance clusters on demand. In this post,

Fine-tune OpenAI GPT-OSS models using Amazon SageMaker HyperPod recipes Read More »

Inline code nodes now supported in Amazon Bedrock Flows in public preview

Amazon Bedrock Prompt Flows, Announcements /

Today, we are excited to announce the public preview of support for inline code nodes in Amazon Bedrock Flows. With this powerful new capability, you can write Python scripts directly within your workflow, alleviating the need for separate AWS Lambda functions for simple logic. This feature streamlines preprocessing and postprocessing tasks (like data normalization and

Inline code nodes now supported in Amazon Bedrock Flows in public preview Read More »

Fine-tune OpenAI GPT-OSS models on Amazon SageMaker AI using Hugging Face libraries

Amazon SageMaker, Amazon SageMaker AI, Announcements, Artificial Intelligence, Foundation models /

Released on August 5, 2025, OpenAI’s GPT-OSS models, gpt-oss-20b and gpt-oss-120b, are now available on AWS through Amazon SageMaker AI and Amazon Bedrock. These pre-trained, text-only Transformer models are built on a Mixture-of-Experts (MoE) architecture that activates only a subset of parameters per token, delivering high reasoning performance while reducing compute costs. They specialize in

Fine-tune OpenAI GPT-OSS models on Amazon SageMaker AI using Hugging Face libraries Read More »

GPT OSS models from OpenAI are now available on SageMaker JumpStart

Amazon SageMaker, Amazon SageMaker JumpStart, Announcements, Artificial Intelligence /

Today, we are excited to announce the availability of Open AI’s new open weight GPT OSS models, gpt-oss-120b and gpt-oss-20b, from OpenAI in Amazon SageMaker JumpStart. With this launch, you can now deploy OpenAI’s newest reasoning models to build, experiment, and responsibly scale your generative AI ideas on AWS. In this post, we demonstrate how

GPT OSS models from OpenAI are now available on SageMaker JumpStart Read More »

Introducing Amazon Bedrock AgentCore Browser Tool

Amazon Bedrock, Amazon Machine Learning, Announcements, Artificial Intelligence /

At AWS Summit New York City 2025, Amazon Web Services (AWS) announced the preview of Amazon Bedrock AgentCore browser tool, a fully managed, pre-built cloud-based browser. This tool enables generative AI agents to interact seamlessly with websites. It addresses two fundamental limitations: first, foundation models (FMs) are trained on large but static datasets and need

Introducing Amazon Bedrock AgentCore Browser Tool Read More »

Introducing the Amazon Bedrock AgentCore Code Interpreter

Amazon Bedrock, Amazon Machine Learning, Announcements, Artificial Intelligence /

AI agents have reached a critical inflection point where their ability to generate sophisticated code exceeds the capacity to execute it safely in production environments. Organizations deploying agentic AI face a fundamental dilemma: although large language models (LLMs) can produce complex code scripts, mathematical analyses, and data visualizations, executing this AI-generated code introduces significant security

Introducing the Amazon Bedrock AgentCore Code Interpreter Read More »

Introducing AWS Batch Support for Amazon SageMaker Training jobs

Amazon SageMaker, Amazon SageMaker AI, Announcements, AWS Batch /

Picture this: your machine learning (ML) team has a promising model to train and experiments to run for their generative AI project, but they’re waiting for GPU availability. The ML scientists spend time monitoring instance availability, coordinating with teammates over shared resources, and managing infrastructure allocation. Simultaneously, your infrastructure administrators spend significant time trying to

Introducing AWS Batch Support for Amazon SageMaker Training jobs Read More »

Amazon Nova Act SDK (preview): Path to production for browser automation agents

Amazon Nova, Announcements /

In early 2025, we introduced the Amazon Nova Act SDK as a research preview to help developers build agents that reliably complete tasks in a web browser. Now, we are excited to work with customers to take their agents to production in a limited preview, using new AWS integrations including AWS Identity and Access Management

Amazon Nova Act SDK (preview): Path to production for browser automation agents Read More »