SIGNALInfrastructure Software·Jun 18, 2026, 7:00 AMSignal55Short term

Amazon RDS for SQL Server increases the maximum size and provisioned performance of General Purpose (gp3) volumes

Source: AWS What's New

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Amazon Relational Database Service (Amazon RDS) for SQL Server now supports higher volume-level limits for General Purpose (gp3) storage. With this update, each gp3 volume can scale up to 64 TiB in size (4X the previous 16 TiB limit), up to 80,000 IOPS (5X the previous 16,000 IOPS limit), and up to 2,000 MiB/s throughput (2X the previous 1,000 MiB/s limit). With these improvements, customers can now run larger Microsoft SQL Server databases on Amazon RDS. Workloads with demanding I/O requirements such as high-throughput OLTP systems and large-scale analytical workloads can take advantage of hi

Why this matters
Why now

Cloud providers continuously enhance existing services to meet evolving customer demands for scalability and performance, and this update reflects AWS's response to growing data requirements.

Why it’s important

This update allows enterprises to migrate larger and more I/O-intensive Microsoft SQL Server workloads to AWS RDS, increasing the viability of the cloud for critical database infrastructure.

What changes

Customers can now run significantly larger and more performant SQL Server databases on AWS RDS General Purpose (gp3) volumes, reducing the need for specialized or on-premises solutions for certain workloads.

Winners
  • · AWS
  • · Enterprises running Microsoft SQL Server
  • · Cloud database administrators
Losers
  • · On-premises database hardware vendors
  • · Managed service providers specializing in on-prem SQL Server
Second-order effects
Direct

Increased migration of high-demand SQL Server instances to AWS RDS.

Second

Potential for further consolidation of enterprise IT infrastructure onto cloud platforms among organizations previously constrained by database size limits.

Third

Enhanced overall resilience and scalability of critical business applications hosted on AWS due to improved database capabilities.

Editorial confidence: 90 / 100 · Structural impact: 35 / 100
Original report

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