Releasesby Glyph
Amazon SageMaker Feature Store now supports individual feature updates to lower write latency
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.
Also shipped Sep 8, 2026AWS in September 2026 →
Conversational analytics now supports predictive modeling questions using the AI.PREDICT function
Conversational analytics now supports predictive modeling questions using the AI.PREDICT function . This feature is in Preview .
Add and drop hybrid table constraints online (General availability)
With this release, you can add and drop UNIQUE and FOREIGN KEY constraints on an existing hybrid table by using alter table . Previously, you had to define these constraints when you created the table, so adding a foreign key to a table that was already serving a workload meant recreating and reloading the table.
Shadow traffic for gateways (Preview)
With this preview release, you can use a shadow traffic gateway to send all production requests to a primary service endpoint while mirroring a percentage of those requests to one or more shadow endpoints. Responses from shadow endpoints aren't returned to clients.
The partner-powered AI features setting will be removed
On November 1, 2026, Databricks will remove the account- and workspace-level toggle for partner-powered AI features. Each workspace will keep its current setting value: if the setting is enabled, it stays enabled, and if it's disabled, it stays disabled. Removing the toggle doesn't change any setting values.
Incremental ingestion for Salesforce formula fields in Lakeflow Connect will soon be generally available
Incremental ingestion for Salesforce formula fields in Lakeflow Connect will soon be generally available. Today, Lakeflow Connect ingests formula fields by taking a full snapshot on each pipeline run by default. When incremental formula field ingestion is generally available, full snapshots will no longer be the default.
ABAC DENY policies are in Beta
ABAC DENY policies are in Beta in Unity Catalog. DENY policies can be used to explicitly deny the MANAGE ACCESS CONTROL privilege to prevent specified principals, including object owners, from performing access-management operations. They always take precedence over any grant. For details, see ABAC DENY policies (Beta) .
More from Amazon SageMakerEvery Amazon SageMaker release →
Amazon SageMaker HyperPod now supports model caching for faster inference autoscaling and reduced cold starts
Amazon SageMaker HyperPod now supports model caching, an inference optimization that pre-loads model weights and container images onto cluster nodes so pods start in seconds instead of minutes. When running LLM inference at scale for workloads like chat assistants, agentic pipelines, RAG, and document analysis, cold start is a real bottleneck.
Amazon SageMaker Unified Studio now supports ODBC connections for Microsoft Power BI and other analytics tools
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.
Qwen3.6-35B-A3B-NVFP4 and Wan2.1-T2V-1.3B-Diffusers models now available on Amazon SageMaker JumpStart
NVIDIA's Qwen3.6-35B-A3B-NVFP4 and Alibaba's Wan2.1-T2V-1.3B-Diffusers models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers.
Ministral-3-3B-Instruct-2512 and Ministral-3-8B-Instruct-2512 models now available on Amazon SageMaker JumpStart
Mistral AI's Ministral-3-3B-Instruct-2512 and Ministral-3-8B-Instruct-2512 models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers.
Gemma-4-31B-it-assistant and Gemma-4-31B-IT-NVFP4 models now available on Amazon SageMaker JumpStart
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.
granite-speech-4.1-2b, kanana-2-30b-a3b-instruct, and OpenFold3 models now available on Amazon SageMaker JumpStart
BM's granite-speech-4.1-2b, Kakao's kanana-2-30b-a3b-instruct, and the OpenFold Consortium's OpenFold3 models are now available on Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers.
Amazon SageMaker AI now supports instance preference lists for training and processing jobs
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.
Amazon SageMaker AI now supports serverless model customization for NVIDIA Nemotron 3.5 Lightning
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).