AWS Graviton Processors
Get the best price performance for cloud workloads running on Amazon EC2Why AWS Graviton Processors?
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.
See how much you can save with Graviton
The AWS Graviton Savings Dashboard is a visualization tool that helps you understand the impact of current and future Graviton usage on your workloads. In as little as 1 hour, the Graviton Savings Dashboard helps you evaluate and find the potential savings of moving workloads to AWS Graviton.
Benefits
EC2 instances powered by AWS Graviton processors
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General Purpose
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Compute Optimized
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Memory Optimized
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Storage Optimized
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Accelerated Computing
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General Purpose
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M8g: Best price performance for general purpose workloads with balanced compute, memory, and networking
Powered by: AWS Graviton4
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.
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Compute Optimized
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C8g: Best price performance for compute-intensive workloads
Powered by: AWS Graviton4
Built for: Compute-intensive applications such as high performance computing (HPC), video encoding, gaming, and CPU-based machine learning (ML) inference acceleration.
C7g, C7gd, C7gn: Ideal 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 ML inference acceleration.
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Memory Optimized
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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.
X8g: Best price performance among Amazon EC2 X-series instances.
Powered by: AWS Graviton4
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 big data analytics, real-time caching servers, and memory-intensive container applications.
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Storage Optimized
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I8g: Best performance for storage-intensive workloads
Powered by: AWS Graviton4
Built for: I/O intensive workloads that require real-time latency access to data such as relational databases (MySQL, PostgreSQL), real-time databases, NoSQL databases (Aerospike, Apache Druid, Clickhouse, MongoDB), and real- time analytics such as Apache Spark.
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.
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Accelerated Computing
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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 and M7gd), compute-optimized (C6gd and C7gd), and memory-optimized (R7gd and R7gd) instances. Additionally, compute-optimized C6gn and C7gn instances with enhanced networking and support for Elastic Fabric Adapter (EFA) are also available.
Use cases
Customers
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Datadog
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"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. -
Instructure
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"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 -
Pinterest
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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 -
SAP
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"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 -
Sprinklr
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"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 -
Zendesk
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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.
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Zomato
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"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