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Amazon Aurora Serverless Scales Up to 384 ACUs for PostgreSQL Edition

Aurora Serverless expanded maximum capacity to 384 ACUs, enabling greater memory and compute for bursty AI workloads.

AI-ASSISTED REPORTING · RETROSPECTIVE ARCHIVE

Retrospective edition: 2026-10-27. Source published: 2026-10-27. Added to this archive: 2026-11-03. This briefing was prepared later from the linked announcement; it was not published on this website on the historical edition date.

Amazon Aurora Serverless increased its maximum database capacity to 384 Aurora Capacity Units (ACUs) for the PostgreSQL-Compatible Edition, a 50% rise from the prior 256 ACU cap. Each ACU delivers about 2 GiB of memory plus proportional CPU and networking, scaling total memory up to 768 GiB. The serverless model allows automatic scale-down to zero when idle, optimizing costs for spiky workloads typical of agentic AI applications.

This scalability facilitates use on more demanding workloads requiring bursts of capacity with unpredictable traffic patterns while preserving pay-as-you-go economics. Customers can configure new or existing clusters to leverage this increased maximum capacity on supported PostgreSQL engine versions via platform upgrades or modifications without downtime for clusters already on Platform Version 4.

Source & further reading

Amazon Aurora serverless now supports up to 384 ACUs ↗

Source published 2026-10-27. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.