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Why 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.

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

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.

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AWS Graviton processors are supported by many popular operating systems, ISVs, and AWS Partners.

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AWS Graviton-based instances are also available in popular managed AWS services, such as Amazon Aurora, Amazon RDS, and Amazon EKS.

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EC2 instances powered by AWS Graviton processors

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.

General purpose

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.
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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.
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Compute optimized

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. 
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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

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.
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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

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.
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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

G5g: Best price performance for Android game streaming
Powered by: AWS Graviton2
Built for: Graphics applications including Android game streaming and ML inference.
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Use cases

Use Graviton-based instances to support application servers, microservices, open-source databases, and high performance computing (HPC).
AWS Graviton-based instances cost up to 20% less than comparable x86-based Amazon EC2 instances.
AWS Graviton-based instances use up to 60% less energy than comparable EC2 instances.

Customers

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DATADOG

"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.

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