Data and AI releases

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OS Management Hub now supports IPv6

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OS Management Hub now supports IPv6 The OS Management API now supports both IPv4 and IPv6 connections. While IPv4 is supported by default, you need to enable IPv6 support. For more information, see Ways to Access Oracle Cloud Infrastructure . For more information about the OS Management Hub service, see OS Management Hub .

Developer tools

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Also shipped Sep 4, 2026Oracle in September 2026 →

SAS to Snowflake migration (Preview)

The Snowflake AIM Agent for Data Warehouses now supports migrating SAS workloads to Snowflake. This capability covers AI-assisted assessment of SAS codebases and AI-based code conversion of SAS programs to Snowflake SQL, including loading SAS dataset files ( .sas7bdat ) into Snowflake tables.

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Gemini Enterprise: Create and manage projects

You can create and manage projects in the Gemini Enterprise web app to build a dedicated knowledge base for your own work or to collaborate with your team. Within a project, you can upload files and chat privately with the assistant to get answers grounded in your project files and web search. This feature is generally available (GA).

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More from Oracle Cloud InfrastructureEvery Oracle Cloud Infrastructure release →

IPv6 support for OCI Monitoring

The Oracle Cloud Infrastructure Monitoring API now supports dual-stack API endpoints. A dual-stack endpoint can resolve to either an IPv6 or an IPv4 address, allowing you to connect over IPv6 while retaining IPv4 compatibility. Existing IPv4-only endpoints continue to be supported. To use IPv6, see Ways to Access Monitoring .

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Resource Analytics - September 2026

This release includes enhancements to Compute, Networking, Bastion, and GoldenGate data models. ADW Feature Description Data for additional Compute resources is now available. Data for compute instance maintenance events is now available. Data for additional Networking details is now available.

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Import DeepSeek V4 Pro 0813 into OCI Generative AI

You can now import the deepseek-ai/DeepSeek-V4-Pro-0813 model into OCI Generative AI, create endpoints for it, and use it in the Generative AI service. In OCI Generative AI, use the following details for this model: Model capability: TEXT_TO_TEXT Minimum dedicated AI cluster unit shapes: H200_X8 and B200_X8 For the complete list of models that you can...

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Import Google Gemma 4 31B IT into OCI Generative AI

You can now import the google/gemma-4-31b-it model into OCI Generative AI, create endpoints for it, and use it in the Generative AI service. In OCI Generative AI, use the following details for this model: Model capability: TEXT_TO_TEXT Minimum dedicated AI cluster unit shapes: A100_40G_X4 , A100_80G_X2 , H100_X2 , H200_X1 , and B200_X1 For the complete list...

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Enhanced Rack Visualization and Component Details in Exadata Insights

The Rack and key metrics tab in Exadata Insights has been enhanced with interactive rack visualizations and component-level information. You can switch between Schematic and Physical rack views, select individual components to view their details, and, where supported, navigate to the corresponding resource page for additional usage information.

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