Explaining Graviton as a First AWS General Purpose CPU

The aim of this pagešŸ“ is to explain the use of Graviton processors since I got a request for moving ElasticSearch to AWS Graviton instances for cost-effectiveness and performance optimization.

Pavol Kutaj
2 min readFeb 19, 2024
  • Graviton processors are custom processors developed by AWS based on ARM architecture.
  • They offer a cost-effective alternative to traditional x86 processors ā€” even before they started designing hardware with Nitro Systems or ML chips like Inferentia or Trainium
  • Gravition is their first general-purpose chip, though, launching in 2020.
  • ElasticSearch has been optimized to run on ARM architecture, making it compatible with Graviton processors.
  • AWS provides good support for running ElasticSearch on Graviton instances.
  • Graviton processors are commonly used for various workloads, including web servers, containerized applications, and microservices.
  • The adoption of Graviton processors is growing due to their cost savings and performance benefits.
  • Graviton processors are primarily designed for cloud computing instances offered by AWS.
  • Graviton processors are optimized for server workloads and data centers, making them more suitable for cloud computing environments.
  • If you are looking for a laptop, you are more likely to find laptops with traditional x86 processors from Intel or AMD.
  • While ARM-based processors like Graviton are efficient and cost-effective for cloud computing, they are not commonly used in laptops due to different use cases and requirements.
  • Of course, this trend is an illustration that hardward knowledge is specialized and probably declining in the industry, see links below




Pavol Kutaj

Today I Learnt | Infrastructure Support Engineer at snowplow.io with a passion for cloud infrastructure/terraform/python/docs. More at https://pavol.kutaj.com