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databricks Platform · Updated Nov 20, 2025

Configure compute size for Databricks Apps (Public Preview)

You can now configure the compute size for your Databricks apps to control CPU, memory, and cost based on your workload requirements.

What it does

You can now configure the compute size for your Databricks apps to control CPU, memory, and cost based on your workload requirements. Each Databricks app runs on compute resources that determine its processing power and memory. Choose an instance size when you create or edit an app to match your workload requirements.

Why it matters

You can now configure the compute size for your Databricks apps to control CPU, memory, and cost based on your workload requirements.

Architecture
Databricks Platform → Platform
In short

You can now configure the compute size for your Databricks apps to control CPU, memory, and cost based on your workload requirements. Each Databricks app runs on compute resources that determine its processing power and memory.

Read the full documentation ↗
Key takeaway
You can now configure the compute size for your Databricks apps to control CPU, memory, and cost based on your workload requirements.
2025-11-20-configure-compute-size-for-databricks-apps-public-preview Generated by the Databricks Updates Agent · browse all updates