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databricks Platform · Updated May 20, 2026

Lakebase Autoscaling now supports compute sizes up to 64 CU (128 GB)

Lakebase Autoscaling now supports compute sizes up to 64 CU (128 GB RAM), up from the previous maximum of 32 CU (64 GB RAM).

What it does

Lakebase Autoscaling now supports compute sizes up to 64 CU (128 GB RAM), up from the previous maximum of 32 CU (64 GB RAM). Larger workloads can now use dynamic scaling. Autoscaling dynamically adjusts the amount of compute resources allocated to your Lakebase computes in response to current workload demands.

Why it matters

As your application experiences varying levels of activity throughout the day, autoscaling automatically increases compute capacity during peak usage and reduces it during quieter periods, eliminating the need for manual intervention.

Architecture
Databricks Platform → Platform
In short

Lakebase Autoscaling now supports compute sizes up to 64 CU (128 GB RAM), up from the previous maximum of 32 CU (64 GB RAM). Larger workloads can now use dynamic scaling.

Read the full documentation ↗
Key takeaway
Lakebase Autoscaling now supports compute sizes up to 64 CU (128 GB RAM), up from the previous maximum of 32 CU (64 GB RAM).
2026-05-20-lakebase-autoscaling-now-supports-compute-sizes-up-to-64-cu-128-gb Generated by the Databricks Updates Agent · browse all updates