Your AI workloads don’t follow a predictable pattern. Dashboards spike, agent activity fluctuates, and modern AI apps introduce unpredictable bursts of data prep, retrieval and inference requests. Your compute has to be agile enough to respond to those changes without requiring constant tuning, no matter where your workloads run.

Snowflake Adaptive Compute automatically adjusts compute resources to address fluctuating workload demands, reducing the need for time-consuming manual tuning and maintenance. Newly released enhancements are designed to deliver improved real-world price-performance for variable workloads, and those benefits are now generally available to customers on Microsoft Azure and Google Cloud (joining the previously-announced AWS availability).