Amazon SageMaker AI now supports serverless model customization for NVIDIA Nemotron 3.5 Lightning

UpdateSep 16, 2026VerifiedAdded Sep 22, 2026

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).

Pricing Developer tools Performance

Read AWS's release notes

https://aws.amazon.com/about-aws/whats-new/2026/09/amazon-sagemaker-ft-nemotron-3-5-lightning/

Summaries of vendors' own notes. Product names and logos belong to their owners; logos via logo.dev.

More Amazon SageMaker releases

Amazon SageMakerSep 15, 2026

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.

UpdatePricingDeveloper toolsPerformanceSource

Amazon SageMakerSep 14, 2026

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.

UpdateAI agentsData integrationPerformanceSource

Amazon SageMakerSep 14, 2026

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.

UpdateAI agentsLLMsPerformanceSource

Amazon SageMakerSep 14, 2026

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.

UpdateAI agentsPricingPerformanceSource

Amazon SageMakerSep 14, 2026

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.

UpdateAI agentsStreamingPerformanceSource

Amazon SageMakerSep 11, 2026

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.

UpdateAI agentsLLMsVector searchSource

Amazon SageMakerSep 11, 2026

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.

UpdateSecurityPricingBISource

Amazon SageMakerSep 8, 2026

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.

UpdateStreamingPricingData integrationSource

Also shipped on Sep 16, 2026

Google Cloud BigQuerySep 16, 2026

BigQuery migration lineage service enters preview

The migration lineage service visualizes data flow and connections in a source database to help plan a BigQuery data warehouse migration.

PreviewSQLGovernancePricingSource

Snowflake Snowflake Cortex AISep 16, 2026

Cortex Agents object enhancements (General availability)

The following Cortex Agents object enhancements are now generally available:

GAAI agentsSource

Snowflake SnowflakeSep 16, 2026

Include and exclude per-user quota users by name (General availability)

Per-user quotas now accept individual user names, so you can add or remove specific users alongside the quota's tag scope. INCLUDE_USERS is new and takes user names directly, and EXCLUDE_USERS accepts a 'USER' argument alongside its existing 'TAG' form:

GAGovernancePricingDeveloper toolsSource

Snowflake SnowflakeSep 16, 2026

Weekly per-user quota limits (General availability)

Per-user quotas now support a weekly credit limit alongside the existing monthly and daily limits. Pass 'WEEKLY' as the cycle argument to SET_PER_USER_LIMIT :

GAPricingDeveloper toolsSource

Databricks Databricks Data Intelligence PlatformSep 16, 2026

Anthropic models will be removed from AWS GovCloud IL5 workspaces

On September 19, 2026, Anthropic models will be removed from Databricks on AWS GovCloud and AWS GovCloud DoD workspaces that have the DoD Impact Level 5 (IL5) compliance standard selected. After this date, IL5 workspaces can't create or use endpoints that serve Anthropic models.

DeprecationGovernanceSource

Databricks Agent Bricks and Mosaic AISep 16, 2026

Unity Gateway API and developer tools are generally available

The Unity Gateway API for managing model services, model provider services, and MCP services is now generally available, with create, read, update, list, and delete support across Databricks developer tools: Terraform provider : 1.132.0 and later Databricks CLI : v1.17.0 and later Python SDK : databricks-sdk 0.136.0 and later Go SDK : databricks-sdk-go...

GAMCPDeveloper toolsSource