guidance-for-machine-learning-inference-on-aws

A Data Platform built for AWS, powered by Kubernetes.

A fully automated CI/CD pipeline that builds, tests, and deploys a Node.js application on Amazon EKS using GitHub Actions, Terraform, and Kubernetes.

Create, List, Update, Delete Amazon EKS clusters. Deploy and manage software on EKS. Run distributed model training and inference examples.

AWS DevOps for Docker - a sample project to help you build Docker containers and run them on AWS. In addition to running locally, this project can run your container on EC2, ECS, EKS, AWS Batch, and AWS Lambda.

Stable Diffusion is a popular Open Source project for generating images using Gen AI. Building a scalable and cost efficient inference solution is a common challenge. This project shows how to use AWS serverless and container services to build an end-to-end scalable, secure and price effecient asynchronous image generation architecture.

Examples and custom spark images for working with the spark-on-k8s operator on AWS

A do-framework project to simplify deployment of Kubeflow on Amazon EKS

Production Grade Nifi & Nifi Registry. Deploy for VM (Virtual Machine) with Terraform + Ansible, Helm & Helmfile for Kubernetes (EKS)

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

This Guidance demonstrates how to automate the deployment of an Amazon Elastic Kubernetes Service (Amazon EKS) cluster for external single sign-on authentication.