AWS Clean Rooms now supports larger worker types of 32 vCPUs with 244 GB of memory for SQL analyses, allowing you to run more compute and memory-intensive workloads. Previously, the largest worker type available was 16 vCPUs with 120 GB of memory. Larger workers can help improve performance for complex queries on large datasets, optimizing costs for customers. For example, an advertiser collaborating with a publisher can use larger workers to run complex feature engineering across billions of records to train their multi-touch attribution model, accelerating time-to-value and optimizing costs.
AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.
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Source: Amazon Web Services
