Snowflake Launches Per-User Quota Feature to Control Individual Credit Spending

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Snowflake has moved its Per-User Quota feature into Public Preview, allowing account administrators to set credit limits for individual users across compute and AI services. The feature addresses growing concerns around a small number of users consuming disproportionate shares of warehouse or AI credits, often without timely visibility. Administrators can apply limits monthly for warehouse usage, and monthly, daily, or both for AI-related services including AI Functions, Cortex Agents, CoCo, and Snowflake CoWork. Users can be grouped into named quotas and targeted via tags, enabling different spending tiers such as standard and power-user allocations. When limits are breached, AI requests can be automatically blocked, while warehouse overages can trigger a custom stored procedure defined by the administrator.

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ProgrammingDEV Community ·

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