Amazon EC2 C7i instances now available in additional regions
AWS has expanded availability of EC2 C7i instances, powered by custom 4th Gen Intel Xeon processors, to Europe (Milan) and Canada West (Calgary) regions, offering up to 15% better price-performance for compute-intensive workloads.
The useful question is what changes for users, developers or buyers, and whether the announcement stays industry context or becomes something people can actually use.
Amazon Web Services (AWS) announced the expansion of Amazon Elastic Compute Cloud (EC2) C7i instances to additional regions, including Europe (Milan) and Canada West (Calgary), starting today. These instances are powered by custom 4th Gen Intel Xeon Scalable processors, code-named Sapphire Rapids, which AWS states are exclusive to its platform. The processors are designed to deliver up to 15% better performance compared to comparable x86-based Intel processors used by other cloud providers, according to AWS.
C7i instances are positioned as a cost-effective option for compute-heavy workloads, offering up to 15% better price-performance than C6i instances. They support a range of applications, including batch processing, distributed analytics, ad-serving, and video encoding. The instances are available in larger sizes, including up to 48xlarge, as well as two bare metal configurations: metal-24xl and metal-48xl, which provide direct access to underlying hardware.
The bare metal instances include built-in Intel accelerators such as the Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology. These accelerators are intended to offload and accelerate data operations, improving performance for demanding workloads. AWS highlights that these features are designed to optimize efficiency for tasks requiring high computational power.
Customers interested in the new C7i instances can find additional details on the EC2 C7i instances page. The expansion increases the geographic availability of these instances, providing more regions for users to deploy compute-intensive workloads with improved performance and cost efficiency.