Releasesby GlyphUse xAI Grok 4.6 in OCI Generative AI
xAI Grok 4.6 is now available on demand in OCI Generative AI. The model is designed for coding, agentic tasks, and knowledge work. It supports long-running agent workflows, research across unfamiliar domains, codebase exploration, and iterative development of applications and work artifacts. Grok 4.6 has a 500,000-token context window.
Also shipped Sep 10, 2026Oracle in September 2026 →
BigQuery conversational analytics adds ML.CORRELATION in preview
Conversational analytics can now use ML.CORRELATION to calculate statistical correlations between a target column and one or more metric columns in a table.
BigQuery ML.METRICS evaluates predictions without a stored model
The preview ML.METRICS function computes classification or regression evaluation metrics on any table or query with actual and predicted values, with no need to create or reference a stored model.
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview .
BigQuery Data Engineering Agent integrates with BigQuery Graph
The Data Engineering Agent now uses BigQuery Graph for extra context between source and destination schemas, improving schema mapping accuracy in data engineering pipelines. It is generally available.
Using dbt artifacts for Slim CI and defer to production in dbt Projects on Snowflake (General availability)
Slim CI, defer to production, failed-execution recovery, and concurrent execution are now generally available for dbt Projects on Snowflake. Reuse dbt artifacts from recent production executions to accelerate development, streamline CI/CD workflows, and recover from failed production runs without maintaining a separate artifact store.
External secret providers (Preview)
External secret providers are now in preview. If your organization already keeps API keys, database passwords, and similar values in AWS Secrets Manager, Azure Key Vault, or Google Cloud Secret Manager, Snowflake can read those values when a query needs them, so you don't have to maintain a second copy in a Snowflake secret .
More from Oracle Cloud InfrastructureEvery Oracle Cloud Infrastructure release →
Export Marketplace Customer Instance Reports as CSV
Marketplace now supports scalable CSV exports for the OCI Customer Instances report. Apply filters and select Generate CSV to create an export in the background. After the export is complete, select Download CSV to download the latest completed export for those filters. Generated exports are available for up to 24 hours.
Cross-Region Replication for OCI Cache
OCI Cache introduces cross-region replication, which enables asynchronous data replication from a primary cache cluster in one OCI region to a secondary cache cluster in another region. This feature enhances disaster recovery, supports global application deployments, and enables planned workload migration between regions.
Oracle Cloud Migrations supports ARM migrations for AWS EC2 instances
Oracle Cloud Migrations now supports migrating supported Amazon Web Services (AWS) EC2 instances that use ARM architecture to Oracle Cloud Infrastructure (OCI) Compute. When you run discovery for an AWS asset source, Oracle Cloud Migrations captures the source instance architecture when available.
Configurable Fault Domain Host Balancing
Oracle Cloud VMware Solution now supports configurable fault domain host balancing for single availability domain SDDCs and clusters. By default, ESXi hosts are evenly distributed across fault domains to maximize availability.
Import Alibaba Qwen3.8-27B and Qwen3.5-397B-A17B into OCI Generative AI
You can now import the Qwen/Qwen3.8-27B and Qwen/Qwen3.5-397B-A17B models into OCI Generative AI, create endpoints for them, and use them in the Generative AI service.
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...
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...
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.