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AWS Clean Rooms adds larger worker types for SQL

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feature

AWS Clean Rooms now supports larger worker types with 32 vCPUs and 244 GB of memory for SQL analyses, enabling more compute-intensive workloads. This enhancement can improve performance for complex queries on large datasets and optimize costs. The feature is available now, allowing organizations to accelerate their data analysis and collaboration efforts without sharing underlying data.

  • →Support for larger worker types in AWS Clean Rooms
  • →Benefits and use cases of larger worker types
Enhancements (1) ›
  • Support for larger worker types in AWS Clean Rooms

    AWS Clean Rooms now offers larger worker types with 32 vCPUs and 244 GB of memory for SQL analyses, an increase from the previous maximum of 16 vCPUs. This allows for running more compute and memory-intensive workloads, potentially improving performance for complex queries on large datasets.

Notes (1) ›
  • Benefits and use cases of larger worker types

    The larger worker types can optimize costs for customers and accelerate time-to-value by enabling complex feature engineering on billions of records, such as for training multi-touch attribution models. AWS Clean Rooms facilitates collaboration on datasets without revealing or copying underlying data.

Read the original announcement →

https://aws.amazon.com/about-aws/whats-new/2026/07/aws-clean-rooms-32-vcpu-worker-types-sql

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