Introducing Amazon EC2 Instances Featuring AMD EPYC Processors
Amazon Web Services (AWS) announces the availability of new EC2 instances featuring 2.5 GHz AMD EPYC 7000 series processors that are variants of Amazon EC2’s general purpose (M5) and memory optimized (R5) instance families. The AMD-based instances provide additional options for customers who are looking to achieve a 10% cost savings on their Amazon EC2 compute environment for a variety of workloads. M5a instances are ideal for business-critical applications, web and application servers, back-end servers for enterprise applications, gaming servers, caching fleets, and app development environments. R5a instances are ideal for high performance databases, distributed web scale in-memory caches, mid-size in-memory databases, real time big data analytics, and other enterprise applications.
Amazon Web Services (AWS) announces the availability of new EC2 instances featuring 2.5 GHz AMD EPYC 7000 series processors that are variants of Amazon EC2’s general purpose (M5) and memory optimized (R5) instance families. The AMD-based instances provide additional options for customers who are looking to achieve a 10% cost savings on their Amazon EC2 compute environment for a variety of workloads. M5a instances are ideal for business-critical applications, web and application servers, back-end servers for enterprise applications, gaming servers, caching fleets, and app development environments. R5a instances are ideal for high performance databases, distributed web scale in-memory caches, mid-size in-memory databases, real time big data analytics, and other enterprise applications.
These instances are available today in US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), and Asia Pacific (Singapore) AWS Regions. M5a and R5a instances are available in 6 sizes, with 2, 4, 8, 16, 48, and 96 vCPUs. The new instances can be purchased as On-Demand, Reserved or Spot Instances.
To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the AMD Instances Page.