28 releases · 1 this month
Amazon SageMaker AI Studio now supports IAM Identity Center multi-region replication, allowing administrators to deploy domains in regions separate from their primary identity instance.
SageMaker AI now supports GPU partitioning using NVIDIA Multi-Instance GPU (MIG) technology. This allows multiple models to share a single GPU with hardware-enforced isolation.
Amazon SageMaker AI now supports Seekable OCI (SOCI)-indexed container images, allowing training and processing jobs to lazy-load images and start in seconds instead of minutes.
Amazon SageMaker MLflow Apps now support MLflow 3.16, featuring a redesigned trace explorer and improved experiment tracking performance for generative AI and agentic workflows.
Amazon SageMaker Unified Studio now supports a light mode theme for Identity Center-based domains to improve accessibility.
SageMaker AI now supports serverless model customization for Muse Glimmer, Qwen 3.8, and Ministral 3 models. Users can apply SFT, DPO, and RFT techniques using LoRA or full fine-tuning.
AWS updated Amazon SageMaker AI serverless model customization to support configurable sequence lengths up to model maximums via hyperparameter settings in SFT, DPO, and RFT jobs.
NVIDIA's Nemotron 3.5 Super VL is now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. This vision-language model from the Nemotron 3.5 family accepts images, video, and text as input and generates text, enabling customers to deploy multimodal AI solutions on AWS infrastructure.
Meta's Muse Spark Open is now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. This coding-optimized open-weight model from Meta is purpose-built for agentic coding workflows, bringing multi-step reasoning and tool calling to enterprise software engineering on AWS infrastructure.
Amazon SageMaker Studio now lets new customers sign up with their Google, GitHub, or Apple credentials and land inside a fully configured Studio environment - no traditional AWS account setup, no credit card, and no console navigation required.
Your coding agent can select, train, optimize and deploy models on Amazon SageMaker AI while working across the rest of your AWS environment in a single natural-language workflow. The AWS AI/ML skill is now a core skill in the Agent Toolkit for AWS , so it works alongside the toolkit's other AWS skills like EC2, Bedrock, and more.
Amazon SageMaker Unified Studio now supports custom Tooling blueprints, giving domain administrators the ability to define the foundation of every project by using their own AWS CloudFormation templates.
Amazon SageMaker Unified Studio now supports two new connection capabilities: (1) Iceberg REST Catalog (IRC) connections for external Apache Iceberg catalogs, and (2) IAM authentication for Amazon DocumentDB. Together, they let data teams connect to a broader set of governed data sources and use credential-less authentication across projects.
Amazon SageMaker HyperPod Inference Gateway is a Kubernetes-native, GPU-aware routing system that deploys as a single EKS managed add-on on existing SageMaker HyperPod infrastructure with zero application changes.
Amazon SageMaker AI now supports serverless model customization for the NVIDIA Nemotron 3.5 Lightning model using supervised fine-tuning (SFT), Direct Preference Optimization (DPO), and reinforcement fine-tuning (RFT).
Today, Amazon SageMaker AI announces instance preference lists for training and processing jobs, making it easier and faster to find compute capacity for your workloads. Many AI training, fine-tuning, and data processing workloads run comparably well on any of several instance types or sizes.
Google DeepMind's Gemma-4-31B-it-assistant and NVIDIA's Gemma-4-31B-IT-NVFP4 models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers.
Amazon SageMaker Unified Studio now supports ODBC connections, so data users can connect Microsoft Power BI and other ODBC-compatible tools directly to governed data in SageMaker Unified Studio projects using the Amazon Athena ODBC driver.
Amazon SageMaker Feature Store is a fully managed capability that makes it easy to compute, store, and retrieve features for training and deploying AI models. SageMaker Feature Store now supports feature-level writes, a new capability for updating individual features in a record.
SageMaker AI and the SageMaker Unified Studio.
Other AWS products: Amazon Athena and EMR, Amazon Aurora and DynamoDB, Amazon Bedrock, Amazon Kinesis and MSK, Amazon OpenSearch Service, Amazon Quick Suite, Amazon Redshift, Amazon S3 Tables and Vectors, AWS Glue and Lake Formation, Kiro and Amazon Q
| Release-notes page | Site | Feed |
|---|---|---|
| Athena release notes docs.aws.amazon.com | docs.aws.amazon.com | None |
| Aurora document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| Aurora MySQL release notes docs.aws.amazon.com | docs.aws.amazon.com | None |
| Aurora PostgreSQL release notes docs.aws.amazon.com | docs.aws.amazon.com | None |
| Bedrock AgentCore release notes docs.aws.amazon.com | docs.aws.amazon.com | RSS |
| Bedrock document history docs.aws.amazon.com | docs.aws.amazon.com | RSS |
| DataZone document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| DynamoDB document history docs.aws.amazon.com | docs.aws.amazon.com | RSS |
| EMR release notes docs.aws.amazon.com | docs.aws.amazon.com | RSS |
| Glue document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| Kinesis Data Streams document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| Lake Formation document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| MSK document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| OpenSearch Service release notes docs.aws.amazon.com | docs.aws.amazon.com | None |
| Quick Suite document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| Redshift cluster versions docs.aws.amazon.com | docs.aws.amazon.com | None |
| Redshift document history docs.aws.amazon.com | docs.aws.amazon.com | None |
| S3 Tables / S3 document history docs.aws.amazon.com | docs.aws.amazon.com | RSS |
| SageMaker AI document history docs.aws.amazon.com | docs.aws.amazon.com | RSS |
| SageMaker Unified Studio release notes docs.aws.amazon.com | docs.aws.amazon.com | None |
| What's New (all services) aws.amazon.com | aws.amazon.com | RSS |
Releasesby Glyph