Memory-intensive workloads, such as real-time applications used by healthcare providers, social networking companies and advertising technology providers, require large amounts of memory to maintain high-performance. For this purpose Amazon Web Services (News - Alert) (News - Alert) (AWS) has created High Memory Cluster, a new Amazon Elastic Compute Cloud (Amazon EC2) instance family designed specifically for memory-intensive applications.
“We designed the High Memory Cluster instances specifically for these workloads, and this is the third instance family along with High Storage instances and High I/O instances launched in the past six months designed specifically for high performance applications,” Peter DeSantis, vice president of Compute Services, AWS said in a statement.
High Memory Cluster instances are ideal for applications that require a large amount of memory on a single instance, or require taking advantage of distributed memory architectures.
High Memory Cluster instances are the most cost-effective Amazon EC2 instance and provide a lower cost per GiB of memory than all other instances, which are based on two Intel (News - Alert) Xeon E5-2670 processors which provide 88 EC2 Compute Units (ECUs) of compute capacity, two 120 GB solid state drives of instance storage, high bandwidth networking, and 244 GiB of RAM (News - Alert).
AWS’s clients are also believe that the high memory capacity, combined with the high computing and networking capabilities of the High Memory Cluster instances, will greatly benefit customers doing in-memory analytics and running transactional applications on their platform.
Customers can launch Linux and Windows High Memory Cluster instances using the AWS Management Console, Amazon EC2 Command Line Interfaces, AWS SDKs, and third party libraries.
The newly announced High Memory Cluster instances are currently made available in the US East Region, and the company is planning to launch this in other AWS Regions in the coming months. Customers can purchase these new instances as On-Demand, Reserved or Spot instances.
Edited by Ashley Caputo