All news with #amazon sagemaker ai tag

🔒 Amazon SageMaker Catalog now supports governed classification using Restricted Classification Terms, enabling catalog administrators to mark sensitive glossary terms so only authorized users or projects can apply them to assets. Administrators grant usage through explicit policies and group membership, allowing centralized governance teams to control labels like Seller-MCF or PII. The capability is available in all regions that support SageMaker Unified Studio; consult the user guide to get started.

🔔 Amazon Managed Service for Prometheus now sends alerts directly to PagerDuty, removing the need for custom Lambda functions or intermediary services. The native integration simplifies authentication and improves delivery reliability for incident notifications. It is available in all AWS regions where the service is generally available and can be configured from the Alert manager tab or via the AWS CLI, SDK, or APIs. Refer to the user guide for detailed setup instructions.

🔁 Amazon SageMaker introduces account-agnostic, reusable project profiles within the SageMaker Unified Studio domain, enabling domain administrators to define project templates once and reuse them across multiple AWS accounts and regions. Profiles are decoupled from specific accounts and regions and can reference a new account pool for dynamic account and region selection at project creation, driven by custom authorization policies or predefined strategies. This reduces duplication, simplifies governance, and accelerates onboarding across large-scale data and ML environments. The feature is available in all Regions where Unified Studio is supported.

🏷️ Amazon SageMaker lakehouse now supports tag-based access control (TBAC) across federated catalogs, extending capability beyond the default AWS Glue Data Catalog to Amazon S3 Tables, Amazon Redshift, and federated sources such as DynamoDB, PostgreSQL, and SQL Server. TBAC lets administrators group resources with tags, grant access based on those tags, and rely on tag inheritance so new tables automatically receive fine-grained controls. Administrators can create and apply tags via the AWS Lake Formation console and grant tag-based permissions to principals; tagged resources are then usable through Amazon Athena, Amazon Redshift, Amazon EMR, and SageMaker Unified Studio. The feature is available in all commercial AWS Regions via the Console, AWS CLI, and SDKs, with supporting Lake Formation Tags documentation and a blog post.

🚀 Amazon SageMaker Training and Processing Jobs now supports the new EC2 P5 instance size with a single NVIDIA H100 GPU, offering the P5.4xlarge configuration for cost‑effective ML and HPC workloads. The instance enables fine-grained scaling so customers can begin with smaller configurations and expand incrementally, improving cost management and infrastructure flexibility. P5.4xlarge is available via SageMaker Flexible Training Plans and in select regions through On‑Demand and Spot.

📂 Amazon SageMaker Unified Studio now offers a simplified S3-based file storage option for project collaboration. Customers can choose between Git integrations (GitHub, GitLab, Bitbucket Cloud) or Amazon S3 buckets, with S3 set as the default while Git remains fully supported. The S3 option gives a consistent view of files across Studio tools, uses a last-write-wins model, and supports basic versioning when administrators enable it.