Amazon EC2 C8gd, M8gd and R8gd instances are now available in additional AWS Regions
AWS has expanded availability of EC2 C8gd, M8gd, and R8gd instances featuring Graviton4 processors and high-speed local storage to additional regions, targeting compute, balanced, and memory-intensive workloads.
Amazon Web Services (AWS) announced the expansion of EC2 C8gd, M8gd, and R8gd instances to new regions, including Singapore, Mexico (Central), Melbourne, and Zurich. These instances, powered by AWS Graviton4 processors, offer up to 30% better performance than Graviton3-based alternatives and are designed for workloads requiring high-speed, low-latency local storage. The instances are now available in 12 sizes, with network and Amazon EBS bandwidth adjustable by 25% to optimize resource allocation for specific workloads.
The new instances provide up to 50 Gbps network bandwidth and 40 Gbps bandwidth to Amazon Elastic Block Store (EBS), with Elastic Fabric Adapter (EFA) networking available on larger sizes. C8gd instances target compute-intensive tasks such as high-performance web servers, batch processing, and gaming servers, while M8gd instances suit balanced workloads like application servers and small to medium databases. R8gd instances are optimized for memory-intensive applications, including in-memory databases and real-time analytics.
AWS states that C8gd, M8gd, and R8gd instances deliver up to 40% higher performance for I/O-intensive database workloads and up to 20% faster query results for I/O-intensive real-time data analytics compared to Graviton3-based instances. The instances are built on the AWS Nitro System, ensuring high performance and security for demanding applications. Customers can adjust bandwidth resources dynamically to better align with workload requirements.
To facilitate migration, AWS offers resources such as the AWS Graviton Fast Start program and Porting Advisor for Graviton. The instances can be accessed via the AWS Management Console, with additional details available on the Amazon C8gd, M8gd, and R8gd instance pages. The expansion aims to provide greater flexibility and performance for workloads across diverse regions and use cases.