AWS Graviton Processor
Enabling the best price performance in Amazon EC2
AWS Graviton processors are designed by AWS to deliver the best price performance for your cloud workloads running in Amazon EC2.
AWS Graviton2 processors deliver a major leap in performance and capabilities over first-generation AWS Graviton processors. Graviton2-based instances provide the best price performance for workloads in Amazon EC2. Graviton2-based instances support a wide range of general purpose, burstable, compute-optimized, memory-optimized, storage-optimized, and accelerated computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches. Many AWS services, including Amazon Aurora, Amazon ElastiCache, Amazon EMR, AWS Lambda, and AWS Fargate, also support Graviton2-based instances for a fully managed experience with significant price performance benefits. Thousands of customers, including Epic Games, DIRECTV, Intuit, Lyft, and Formula 1 are running production workloads on Graviton2-based instances with significant performance gains and cost savings.
AWS Graviton3 processors are the latest in the AWS Graviton processor family. They provide up to 25% better compute performance, up to 2x higher floating-point performance, and up to 2x faster cryptographic workload performance compared to AWS Graviton2 processors. AWS Graviton3 processors deliver up to 3x better performance compared to AWS Graviton2 processors for ML workloads, including support for bfloat16. They also support DDR5 memory that provides 50% more memory bandwidth compared to DDR4. AWS Graviton3E processors deliver up to 35% higher vector-instruction performance compared to AWS Graviton3 processors. This improvement provides higher performance benefits for HPC applications.
Free Trial: Try Amazon EC2 t4g.small instances powered by AWS Graviton2 processors free for up to 750 hours / month until Dec 31st 2023. Refer to the FAQ for additional details.
Benefits
Best price performance for a broad range of workloads
AWS Graviton-based general purpose burstable (T4g), general purpose (M7g), compute-optimized (C7g), and memory-optimized (R7g, X2gd) EC2 instances and variants with NVMe-based SSD storage deliver up to 40% better price performance over comparable current generation x86-based instances1 for a broad spectrum of workloads such as application servers, microservices, video encoding, high-performance computing, electronic design automation, compression, gaming, open-source databases, in-memory caches, and CPU-based machine learning inference.
Extensive software support
AWS Graviton processors are supported by many Linux operating systems including Amazon Linux 2, Red Hat Enterprise Linux, SUSE, and Ubuntu. Many popular applications and services for security, monitoring and management, containers, and continuous integration and delivery (CI/CD) from AWS and software partners also support AWS Graviton-based instances. The AWS Graviton Ready program provides customers with certified solutions from partner software vendors that can be used on AWS Graviton-based instances.
Enhanced security for cloud applications
AWS Graviton processors feature key capabilities that enable you to run cloud native applications securely, and at scale. AWS Graviton3 processors feature always-on memory encryption, dedicated caches for every vCPU, and support for pointer authentication. EC2 instances powered by AWS Graviton processors are built on the AWS Nitro System that features the AWS Nitro security chip with dedicated hardware and software for security functions, and support for encrypted Amazon Elastic Block Store (EBS) volumes by default.
Available with managed AWS Services
AWS Graviton-based instances are also available in popular managed AWS services such as Amazon Aurora, Amazon Relational Database Service (RDS), Amazon MemoryDB for Redis, Amazon ElastiCache, Amazon OpenSearch, Amazon EMR, AWS Lambda, and AWS Fargate. These services deliver the price performance benefits of AWS Graviton processors while providing a fully managed experience.
Best performance per watt of energy use in Amazon EC2
To help customers reduce their carbon footprint, AWS Graviton processors are designed to be more energy efficient. Graviton-based instances use up to 60% less energy for the same performance than comparable EC2 instances.
EC2 Instances Powered by AWS Graviton Processors
-
General Purpose
-
Compute Optimized
-
Memory Optimized
-
Storage Optimized
-
Accelerated Computing
-
General Purpose
-
M7g: Best price performance for general purpose workloads with balanced compute, memory, and networking
Powered by: AWS Graviton3
Built for: General purpose workloads such as application servers, midsize data stores, microservices, and cluster computing.
T4g: Best price performance for burstable general purpose workloads
Powered by: AWS Graviton2
Built for: Broad range of burstable general purpose workloads such as large scale microservices, small and medium databases, virtual desktops, and business-critical applications.
-
Compute Optimized
-
C7g, C7gn: Best price performance for compute-intensive workloads
Powered by: AWS Graviton3, AWS Graviton3E
Built for: Compute-intensive applications such as high performance computing, video encoding, gaming, and CPU-based machine learning inference acceleration. Also available, compute optimized C7gn instances with 200 Gbps networking and support for Elastic Fabric adapter (EFA).
C6g, C6gd, C6gn: Cost savings for compute and network-intensive workloads
Powered by: AWS Graviton2
Built for: Compute-intensive applications such as HPC, video encoding, gaming, and CPU-based ML inference.
-
Memory Optimized
-
R7g: Best price performance for memory-intensive workloads
Powered by: AWS Graviton3
Built for: Memory-intensive workloads such as open-source databases (MySQL, MariaDB, and PostgreSQL), or in-memory caches (Redis, KeyDB, Memcached).
X2gd: Lowest cost per GiB of memory in Amazon EC2
Powered by: AWS Graviton2
Built for: Memory-intensive workloads such as open-source databases (MySQL, MariaDB, and PostgreSQL), in-memory caches (Redis, KeyDB, Memcached), electronic design automation (EDA) workloads, real-time analytics, and real-time caching servers.
-
Storage Optimized
-
Im4gn: Best price performance for storage-intensive workloads
Powered by: AWS Graviton2
Built for: SQL databases (MySQL, MariaDB, PostgreSQL), NoSQL databases (Cassandra, ScyllaDB, MongoDB), search engines, analytics, streaming, and large distributed file systems.
Is4gen: Lowest cost per TB of SSD storage in Amazon EC2
Powered by: AWS Graviton2
Built for: SQL databases (MySQL, MariaDB, PostgreSQL), NoSQL databases (Cassandra, ScyllaDB, MongoDB), search engines, analytics, streaming, and large distributed file systems.
-
Accelerated Computing
-
G5g: Best price performance for Android game streaming
Powered by: AWS Graviton2
Built for: Graphics applications including Android game streaming and ML inference.
Local NVMe-based SSD storage options are also available in general purpose (M6gd), compute-optimized (C6gd), and memory-optimized (R6gd) instances. Additionally, compute-optimized C6gn instances with 100 Gbps networking and support for Elastic Fabric adapter (EFA) are also available.
Customer Testimonials

Founded in 1991, Epic Games is the creator of Fortnite, Unreal, Gears of War, Shadow Complex, and the Infinity Blade series of games. Epic’s Unreal Engine technology brings high-fidelity, interactive experiences to PC, console, mobile, AR, VR, and the Web.
“As we look to the future and building increasingly immersive and compelling experiences for players, we are excited to use AWS Graviton3-based EC2 C7g instances. Our testing has shown they are suitable for even the most demanding latency sensitive workloads while providing significant price performance benefits and expanding what is possible within Fortnite and any Unreal Engine created experience.”
Mark Imbriaco, Senior Director of Engineering at Epic Games

"We began using AWS Graviton2-based instances during our summer of major sports broadcasts including the Olympic Games Tokyo 2020. Graviton2 was used in our caching services for our front end Subscriber Management and the Media Asset Management platforms to reach 175M viewers with 7x better performance compared to the x86-based instances we were using previously. As Graviton2 has up to 40% better price performance, Discovery are investigating how to scale further adoption across other use cases."
Damien Frost, SVP, Global Infrastructure Services, Discovery

DIRECTV has been at the forefront of entertainment for nearly three decades. DIRECTV STREAM allows DIRECTV to focus on its customers, people, and vendors as it continues to deliver innovative entertainment experiences where, when and how people want it.
“We moved our Kubernetes nodes running DIRECTV STREAM microservices to Graviton2-based instances. These microservices are based on Golang and comprise a variety of domains such as Metadata Discovery, DVR Playlist, and Channel Authorization that serve as the core backend systems for DIRECTV STREAM and DIRECTV Everywhere. With the superior performance and lower per-instance cost of Graviton2-based instances compared to x86-based instances, we are estimating 25% lower operating costs for these microservices. It took us about 4 weeks to add support for Graviton2 to our lab and production Kubernetes environments, build pipelines, and development kits. Adoption was a seamless experience and we are in the process of migrating our fleet of over 700 microservices to Graviton2-based instances.”
Jonathan Tronson, AVP Software Engineering, DIRECTV STREAM
Partner Testimonials

As the largest continuous integration and delivery (CI/CD) platform, CircleCI is the central hub where developers seamlessly take ideas to execution, at scale. CircleCI is one of the few services to offer fully cloud-based Arm compute for CI/CD, allowing customers to build and test their applications for Arm without managing their own machines.
"The AWS Graviton2 instances make Arm-based CI/CD possible for the first time at scale. We needed a partner who could provide Arm-based compute with the capacity and reliability we require. With CircleCI’s Arm build fleet running on Graviton2, developers can build, test and deploy Arm-based applications in a truly serverless experience, without managing their own machines. By partnering with AWS, we’re able to bring that scale to the Arm developer community at a level not previously possible."
Tom Trahan, VP Business Development, CircleCI

CrowdStrike is a global cybersecurity leader in cloud-delivered endpoint protection built from the ground up to stop breaches. CrowdStrike Falcon delivers full spectrum runtime protection and visibility for hosts and hosted containers leveraging a cloud-native platform and a single lightweight sensor, without requiring any additional deployments or integrations. AWS Graviton2 Arm64-based instances offer compelling performance and cost benefits which will help drive adoption across a much wider variety of workloads. Under the shared responsibility model, AWS customers require consistent and seamless protection across their Amazon EC2 compute fleet, regardless of the underlying processor architectures. That is why CrowdStrike is delighted to extend CrowdStrike Falcon protection and visibility for all Graviton-based EC2 instances.

Datadog is the monitoring and analytics platform for developers, operations, and business users in the cloud age. "We're excited the Graviton2 instances are now generally available. We've seen our own developer productivity increase as these instances have boosted the performance of key continuous integration pipelines by 50%," said Jimmy Caputo, Product Manager at Datadog. "With the Datadog Agent for Graviton / Arm, all AWS customers can use Datadog to monitor the Graviton2 instance performance alongside the rest of their infrastructure.“

"Genymotion offers Android™ In-the-Cloud (AIC) solutions, with in-browser streaming and ADB access. Genymotion has been deployed on AWS Graviton2 Arm64-based instances, as our clients are seeing as much as three to five times higher density and higher streaming quality on this generation of Arm-based servers, with a lower price. This also enables them to have a native experience of Android without the need to install binary translation tools to run applications. The Genymotion team is very excited to finally see server-based Arm instances in the cloud as it will open new use cases and opportunities"
Jean-Charles Leneveu, Product Manager, Genymotion

KeyDB is a high performance database compatible with the Redis™ API and focused on multithreading, memory efficiency and high throughput. KeyDB is excited to offer support for AWS Graviton2 instances and encourage users to see what a KeyDB + Graviton2 setup can offer. KeyDB testing has shown performance gains as high as 65% using AWS Graviton2-powered Amazon M6g instances compared to the latest generation x86-based M5 instances. KeyDB is proud to support the latest technology and provide the most powerful solutions available to its users.
AWS services supporting Graviton





















Getting Started with Graviton-based instances
Using Amazon EC2
With pre-built Linux-based Arm64 Amazon Machine Image (AMIs), you can quickly launch AWS Graviton-based Amazon EC2 instances within minutes. To learn more, visit the launch your instance page. To learn more about building and moving your apps to Graviton-based instances download the Graviton adoption plan, visit the getting started with AWS Graviton page, or learn about Porting Advisor for Graviton.
Using managed AWS services
Many popular AWS services such as Amazon Aurora, Amazon RDS, Amazon MemoryDB, Amazon ElastiCache, Amazon OpenSearch, Amazon EMR, AWS Lambda, and AWS Fargate support AWS Graviton-based instances with significant price performance benefits and ease of use. To learn more, see the documentation for each service.
Partner Blogs
Articles and announcements
Resources
1 20% lower cost and up to 40% higher performance for M6g, C6g, and R6g instances over M5, C5, and R5 instances respectively, based on internal testing of workloads with varying characteristics of compute and memory requirements.