Which BI tools let you control where AI inference runs?

Quoted from Databricks’s docsAdmins can choose to disable the partner-powered AI features setting. When the setting is disabled, Databricks AI assistive features use Databricks-hosted models where available, or are disabled entirely.

Quoted from Snowflake’s docsYou control the routing behavior through a single account-level parameter, CORTEX_ENABLED_CROSS_REGION, choosing the option that best fits your performance, compliance, and data residency requirements.

Quoted from Omni’s docsSnowflake Cortex provides access to industry-leading large language models (LLMs) hosted directly within your Snowflake infrastructure.

Quoted from Hex’s docsWith BYOK, Admins can supply their own credentials so that inference runs through your organization's provider account instead.

Quoted from Sigma’s docs To connect to an AI model hosted by your data platform, see Configure a warehouse-hosted model as AI provider. When you choose the option to configure a warehouse-hosted model, your data is managed fully in your data platform.

Quoted from BigQuery’s docsFor most Gemini in BigQuery features, the Gemini processing location can be controlled by an administrator by using the Global Default Location setting at the project or organization level.

Quoted from Looker’s docsThis option enables data processing within the EU jurisdiction and allows Looker's Conversational Analytics traffic to be routed through an EU multi-regional endpoint, which ensures EU customer data is processed within the EU.

Quoted from Tableau’s docsUnlike Tableau Cloud, in Tableau Server AI in Tableau connects directly from your Tableau Server deployment to the selected LLM provider or via a custom gateway (version 2026.3 and later).

Quoted from Power BI’s docsIf you're okay with your data being handled outside of your area, switch on the setting Data sent to Azure OpenAI can be processed outside your capacity's geographic region, compliance boundary, or national cloud instance, and select Apply.

Quoted from Metabase’s docsSet this when a self-hosted vLLM server is on your private network (allow-private) or on this machine (allow-all).

Quoted from Alteryx’s docsThese features connect to a large language model (LLM) – by default, this LLM is accessed via an Alteryx instance within Microsoft Azure Cognitive Services; however, you can instead use an LLM in your own Microsoft Azure Cognitive Services tenant.

Quoted from MotherDuck’s docsWhere model inference runs depends on your organization's cloud region.

Quoted from Redshift’s docsWith bring your own model (BYOM), you can use a model trained outside of Amazon Redshift with Amazon SageMaker AI for in-database inference locally in Amazon Redshift.