AWS Clean Rooms doubles worker size to up to 32 vCPUs for SQL!

Hey friends, it's Shii! Today I found an update to AWS Clean Rooms, so let me tell you about it. The worker specs just got a lot bigger!

AWS What's New aws.amazon.com

What was announced?

According to AWS What's New, AWS Clean Rooms added a much larger worker type for SQL analyses: 32 vCPUs with 244 GB of memory. The previous maximum was 16 vCPUs with 120 GB of memory, so both the vCPU count and the memory size have roughly doubled.

AWS Clean Rooms is a service that lets companies collaborate on data analysis together without directly sharing or exposing each other's underlying data. This announcement is about expanding the compute resources available for the SQL analyses that run inside it.

The story so far

Until now, SQL analysis workers in AWS Clean Rooms topped out at 16 vCPUs and 120 GB of memory. That ceiling could become a bottleneck when running complex feature engineering across billions of records, or heavy aggregation queries.

What changes

With the new 32 vCPU / 244 GB memory worker option, you can expect better performance on complex queries against large datasets. The original post gives an example: an advertiser collaborating with a publisher running feature engineering across billions of records to train a multi-touch attribution model. For teams running this kind of heavy workload, it should help cut processing time and optimize costs.

Wrap-up

• AWS Clean Rooms added a new 32 vCPU / 244 GB memory worker type for SQL analyses
• That's roughly double the previous maximum of 16 vCPUs / 120 GB memory
• A good fit for teams running complex queries or heavy feature engineering on large datasets

You can check supported regions in the AWS Regions table, so if your team uses Clean Rooms, take a look!