AWS Drives Cloud Price/Performance and CPU Silicon Innovation with Arm Neoverse

Based on Arm Neoverse N1, AWS Graviton2 processor instances deliver up to 40% better price performance for all workloads over comparable x86-based instances.

Arm and AWS have partnered to enable the best price performance and CPU silicon innovation in the Amazon cloud. The AWS Graviton2 processor uses Arm Neoverse N1 cores to deliver its computational horsepower. The AWS EC2 m6g, c6g, r6g, t4g and C6gn instances powered by AWS Graviton deliver up to 40 percent more price performance over comparable current-generation x86-based instances. NVMe-based 'd' instances and .metal instances are available for the M, C and R families.


AWS customers, including Snap, Twitter, Netflix, Nielsen, Redbox, Hotelbeds, and Valnet, are experiencing the improved performance and cost savings AWS Graviton-based instances using Arm technology can deliver.

The AWS Graviton Advantage

Don MacAskill (SmugMug & Flickr), Liz Fong-Jones ( and Dave Brown (Amazon) share real world experiences about running workloads on AWS Graviton processors based on Arm Neoverse.


Best Price Performance for a Broad Spectrum of Workloads

AWS Graviton-based EC2 instances draw on the performance of Arm Neoverse N1 cores to deliver up to 40% better price performance over comparable current generation x86-based instances for a broad spectrum of workloads.

Extensive Ecosystem Support

AWS Graviton processors, based on the 64-bit Arm architecture and Arm Neoverse N1 cores, are supported by popular Linux operating systems including Amazon Linux 2, Red Hat, SUSE, and Ubuntu as well as many popular cloud-native and virtualized applications and services from AWS and independent software vendors.

CPU Power Efficiency

With up to 3.45x higher Performance*/Watt than traditional architectures, AWS Graviton2-based instances can increase compute density, lower cost, and lower your carbon footprint.

*Estimated SPECint2017

EC2 Instances Powered by AWS Graviton

Based on the high-performant Arm Neoverse N1 core, the AWS Graviton processor powers four AWS ECS instance families.

M6g (General Purpose)

Built for general-purpose workloads such as application servers, mid-sized data stores, and microservices, and cluster computing.

T4g (Burstable General Purpose)

(Free Trial) Built for a broad range of burstable general purpose workloads such as large scale micro-services, small and medium databases, virtual desktops, and business-critical applications.

C6g (Compute Intensive)

Built for compute-intensive applications such as high-performance computing, video encoding, gaming, and CPU-based machine learning inference acceleration.

C6gn (C6 with Enhanced Networking)

Compute-optimized C6gn instances with 100 Gbps networking and support for Elastic Fabric adapter (EFA) (Coming Soon).

R6g (Memory Intensive)

Built for general-purpose workloads such as application servers, mid-sized data stores, and microservices, and cluster computing.

Learn More about Neoverse N1Learn More about AWS Graviton

Use Cases for AWS Graviton-based Instances

Based on Arm Neoverse N1, these are some of the more common developer use cases for AWS Graviton.

High Performance Computing
Electronic Design Automation

Arm and AWS: Partnered for Performance

Each of these have 64-bit customized cores with AWS-designed 7nm silicon. All the instances have up to 64 vCPUs, 25Gbps enhanced networking and 18Gbps EBS bandwidth. But most importantly, they have 40% better price performance than the latest generation x86 processors. That’s unbelievable if you think about it.

Andy Jassy, CEO at Amazon Web Services

AWS VP and Distinguished Engineer, James Hamilton, Introduces Amazon EC2 Based on Arm

Arm’s ubiquity in the client and embedded spaces, its low-cost and expansive developer support were key reasons Amazon chose to base its AWS Graviton on the Arm architecture. Learn more about the AWS environment and the Neoverse N1-based processor.

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Guidelines for Deploying NGINX Plus on AWS

Optimize Performance by up to 50% and cost savings by 20% with Arm-based Amazon EC2 M6g Instances

Debugging and Optimizing Performance of Applications on AWS Graviton

Explore the tools available to developers for building, debugging and optimizing applications on AWS Graviton-based instances

Running High Performance SQL on AWS Graviton

By simply switching to m6g instances, Treasure Data improved query performance by 30% and reduced cost by 20%.