Helping developers to use AWS Graviton2 and Graviton3 processors which power the 6th and 7th 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]).

This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance at scale

Helping MD customers run workloads on Graviton 3E instances (especially hpc7g) with optimized compiler settings

이 저장소는 AWS Graviton Technical Guide의 한글 번역본입니다. 이 문서는 6세대 및 7세대 Amazon EC2 인스턴스(C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, Im4gn, Is4gen, G5g, C7g)를 구동하는 Arm 기반 AWS Graviton2 및 Graviton3 프로세서를 신규 사용자가 사용할 수 있도록 돕기 위해 작성되었습니다.