# aws/aws-graviton-getting-started

Helping developers to use AWS Graviton2, Graviton3, and Graviton4 processors which power the 6th, 7th, and 8th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, I4g, Im4gn, Is4gen, G5g, C7g[d][n], M7g[d], R7g[d], R8g).

Repository: https://github.com/aws/aws-graviton-getting-started
Canonical: https://ross.abutalabs.com/products/aws-graviton-getting-started
Homepage: https://aws.github.io/graviton/
Language: Python
License: NOASSERTION
License Family: other
Topics: graviton2, arm, graviton3, ec2, graviton3e, graviton, graviton4
Last push: 2026-08-10T16:31:00+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 35, longevity 100
- inputs: {"age_days": 2409, "days_push": 23, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1047, forks 230 (observed 2026-08-28T04:03:21.886545+00:00)

## What it is
A technical guide (published as an mdBook) from AWS for developers using Amazon EC2 instances powered by Graviton Arm processors, covering transition planning, building, and optimization. It also serves as a general resource for running software on Arm-based Linux systems.

## Use cases
- migrate workloads from x86 to AWS Graviton
- optimize code for Arm64 SIMD instructions
- build software for Graviton2/3/4 processors
- run machine learning frameworks like PyTorch on Graviton
- tune Java or Python performance on Arm EC2 instances
- find AMIs and OS support for Graviton instances

## When to choose
- you are planning or executing a migration to Graviton-based EC2 instances
- you need Arm64-specific build, optimization, or performance tuning guidance
- you want language-specific advice for running code on Arm servers

## When to avoid
- you need a software tool or library rather than documentation
- your workloads run exclusively on x86 hardware
- you need official AWS support documentation rather than a community technical guide

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools, benchmarking
- domain: cloud-computing, developer-tools, tutorials, hardware
- platform: cloud
- tags: graviton, arm64, ec2, performance-optimization, technical-guide, aws, linux, arm

## Member repositories
- aws/aws-graviton-getting-started (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:21.886545+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:01:05.221036+00:00, confidence not recorded.
  - readme: https://github.com/aws/aws-graviton-getting-started (fetched 2026-08-28T04:03:21.886545+00:00, sha 2e5724dbc7b4)
  - homepage: https://aws.github.io/graviton/ (fetched 2026-08-29T13:02:41.771014+00:00, sha 66f7e4c90d09)
- Data as of 2026-08-30T08:39:29.467469+00:00.