Karpenter Blueprints is a list of common workload scenarios following best practices. You'll find here details of why configuring the Karpenter and Kubernetes objects in such a way is important when using Karpenter on EKS.
AWS EKS - kubernetes project and terraform module
Google Cloud Karpenter Provider
Kubernetes Complete Hands-On Guides
Real World DevOps Implementation Project on AWS
Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization to its fullest potential.
Alibaba Cloud Karpenter Provider
Karpenter provider for Proxmox
💰 Cost optimization tool for Karpenter NodePools. Analyzes Kubernetes cluster usage and provides AI-powered recommendations to reduce AWS EC2 costs while maintaining performance.
This repository aims to showcase how to finetune a FM model in Amazon EKS cluster using, JupyterHub to provision notebooks and craft both serving and training scripts, RayOperator to manage Ray Clusters and Karpenter to manage Node Scaling.
AI/ML and HPC at planetary scale. One API. Every Accelerator. Any Region. MIT-0 licensed
Best-effort high availability for single-replica Kubernetes workloads: no downtime from announced node disruptions (drains, upgrades, consolidation, spot reclaims) without a standing second replica.
CDK construct for installing and configuring Karpenter on EKS clusters
RootCause is a local-first MCP server that turns natural-language requests into evidence-backed incident analysis, Kubernetes diagnostics, and safer operations.
The Panfactum Stack
Exports Pre-computed Kubernetes Cluster Binpacking Metrics
Learn EKS Auto Mode through deployable Terraform examples
🐳 📦 🚀 - Elastic Kubernetes Service fully managed using Karpenter Autoscaler, without Node Groups
Terraform module and installation script for Karpenter
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