Amazon Web Services

AWS announces support for data processing jobs in Amazon SageMaker. This launch enables you to author, manage, monitor, and troubleshoot data processing workloads across your organization and collaborate in projects to securely build and share data processing jobs and workflows.…

AWS announces the release of AWS IoT Greengrass v2.15, introducing significant updates to both nucleus and nucleus lite core components. AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and…

AWS is pleased to announce a significant enhancement to the AWS Specialization Programs Badge, which is available now. This enhancement will enable AWS Specialization Partners to showcase badges that display both their specific specialization and its corresponding category, addressing frequent…

Amazon SageMaker HyperPod now supports deploying both open-weights foundation models from Amazon SageMaker JumpStart and your own fine-tuned models from Amazon S3 and Amazon FSx directly to Amazon SageMaker HyperPod. This enables you to seamlessly train, fine tune, and deploy…

Today, AWS announces remote connection from Visual Studio Code to Amazon SageMaker Studio development environments, enabling AI developers to use Visual Studio Code with SageMaker AI’s scalable compute resources. This new capability enables developers to connect from Visual Studio Code…

We are excited to announce the general availability of the Amazon SageMaker HyperPod Command Line Interface (CLI) and Software Development Kit (SDK). These tools make it easier for developers and ML practitioners to build, train, and deploy large-scale AI models…