AWS Graviton is a family of processors designed to deliver the best price performance for your cloud workloads running in Amazon Elastic Compute Cloud (Amazon EC2). Choose the AWS Graviton-based instance that best meets your needs.
Sign up to preview Amazon EC2 R8g instances powered by AWS Graviton4 processors. Learn more
Get the best price performance for a broad range of workloads on AWS.
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Use up to 60% less energy than comparable EC2 instances for the same performance.
AWS Graviton processors are supported by many popular operating systems, ISVs, and AWS Partners.
AWS Graviton-based instances are also available in popular managed AWS services, such as Amazon Aurora, Amazon RDS, and Amazon EKS.
M7g, M7gd: 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.
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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.
C7g, C7gd, 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.
C6g, C6gd, C6gn: Cost savings for compute and network-intensive workloads
Built for: Compute-intensive applications such as HPC, video encoding, gaming, and CPU-based ML inference.
R7g, R7gd: High 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).
R8g: Best price performance for memory-intensive workloads Powered by: AWS Graviton4 Built for: Memory-intensive workloads such as high-performance databases, in-memory caches, and real-time big data analytics.
X2gd: Lowest cost per GiB of memory in Amazon EC2
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.
Im4gn: Best price performance for storage-intensive workloads
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
G5g: Best price performance for Android game streaming
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 and C7gn instances with enhanced networking and support for Elastic Fabric Adapter (EFA) are also available.
"We can keep costs constants but deliver more value. That efficiency then is translated back for our customers, delivering more features per compute cycles or serving more customers with an identical number of cores."
Alexis Le-Quoc Co-Founder and Chief Technology Office, Datadog Inc.
"We use AWS Graviton3 instances in a number of places in our stack. They've provided us as much as 20% improvement in throughput and in cost savings versus older instances types."
Zach Pendleton Chief Architect, Instructure
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“Through our adoption of AWS Graviton, we're able to do more with less. We get more performance, we get better cost efficiency, and we have the ability to do that by reducing our carbon footprint.”
Sierra Hutto Senior Technical Program Manager, Pinterest
"We chose AWS Graviton for SAP HANA Cloud. From a business point of view, the result that we are seeing in the actual deployments is an up to 35% performance or price performance improvement for analytical workloads."
Stefan Baeuerle SVP, Head of Database, SAP
"On AWS Graviton-based instances, we can build more features that before were either expensive or not feasible.”
Nitin Goyal Vice President of Engineering, Sprinklr
After migrating to Graviton-based instances, Zendesk improved performance by up to 30 percent, reduced costs by up to 42 percent, and achieved better environmental sustainability while increasing its capacity for innovation.
"AWS Graviton has helped us improve the price performance of our data platform by 25 percent. Moving to AWS Graviton-based instances was the fastest and easiest way to achieve our goals with little tweaks. The entire process, including testing, took us two weeks.”
Rajat Taya Senior Software Engineer, Zomato
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