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.

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

  • General Purpose
  • Amazon EC2 M8g instances 241 by 136

    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 processor

    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
  • Amazon EC2 C8g instances 201 by 136

    C8g: Best price performance for compute-intensive workloads

    Powered by: AWS Graviton4

    Built for: Compute-intensive applications such as high performance computing, video encoding, gaming, and CPU-based ML inference acceleration. 

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    C7g processor

    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
  • Amazon EC2 R8g instances

    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 icon 274 by 136

    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
  • Im4gn processor

    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.

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    Is4gn processor

    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 processor

    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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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

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

  • Datadog
  • 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.

    Learn more »

  • Instructure
  • "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

    Read the Case Study »

  • Pinterest
  • Pinterest

    “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

    Watch the video »

    Read the case study »

  • SAP
  • "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

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  • Sprinklr
  • 947895256

    "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

    Read the Case Study »

  • Zendesk
  • Collaborating office employees
    Zendesk 280x54

    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.

    Read the Case Study »

  • Zomato
  • Anonimous delivery food service at home. Man courier delivered the order no name bag with food
    Zomato red & white 158x34

    "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

    Read the Case Study »

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