AWS Official Blog

EC2 Dedicated Instance Price Reduction

by Jeff Barr | on | in Amazon EC2, Price Reduction | | Comments

I’m happy to announce that we are reducing the prices for Amazon EC2 Dedicated Instances.

Launched in 2011, Dedicated Instances run on hardware dedicated to a single customer account. They are ideal for workloads where corporate policies or industry regulations dictate physical isolation from instances run by other customers at the host hardware level.

Like our multi-tenant EC2 instances, Dedicated Instances let you take full advantage of On-Demand and Reserved Instance purchasing options. Todays price drop continues the AWS tradition of innovating to reduce costs and passing on the savings to our customers. This reduction applies to both the dedicated per region fee and the per-instance On-Demand and Reserved Instance fee across all supported instance types and all AWS Regions. Here are the details:

  • Dedicated Per Region Fee An 80% price reduction from $10 per hour to $2 per hour in any Region where at least one Dedicated Instance of any type is running.
  • Dedicated On-Demand Instances A reduction of up to 37% in hourly costs. For example the price of an m1.xlarge Dedicated Instance in the US East (Northern Virginia) Region will drop from $0.840 per hour to $0.528 per hour.
  • Dedicated Reserved Instances A reduction of up to 57% on the Reserved Instance upfront fee and the hourly instance usage fee. Dedicated Reserved Instances also provide additional savings of up to 65% compared to Dedicated On-Demand instances.

These changes are effective July 1, 2013 and will automatically be reflected in your AWS charges.

To launch a Dedicated Instance via the AWS Management Console, simply choose a target VPC and select the Dedicated Tenancy option when you configure your instance. You can also create a Dedicated VPC to ensure that all instances launched within it are Dedicated Instances.

To learn more about Dedicated Instances and to see a complete list of prices, please visit the Dedicated Instances page.

— Jeff;