⚡Instant Stable Diffusion on k8s(Kubernetes) with Helm
-
Updated
Jul 12, 2023 - Dockerfile
#
gpu-operator
Here are 7 public repositories matching this topic...
This project is designed to simulate GPU information, making it easier to test scenarios where a GPU is not available.
-
Updated
Jan 9, 2026 - C++
ML 시스템을 시간 소모 없이 쿠버로 이전할 수 있다면?
-
Updated
Dec 15, 2022 - Smarty
Set up your own GPU powered instance on AWS with RKE2 Kubernetes and then help you setup NVIDIA GPU operator for testing out AI workloads.
-
Updated
May 19, 2026 - HCL
Docker image with NVIDIA drivers for Fedora CoreOS
-
Updated
Apr 26, 2022 - Shell
Homelab GitOps repo
-
Updated
Jun 10, 2025
Production-ready GPU-enabled Kubernetes AI infrastructure platform with NVIDIA GPU Operator, CUDA workloads, Ollama GPU inference, autoscaling, monitoring, and distributed AI compute support.
docker kubernetes infrastructure devops machine-learning ai deep-learning gpu cuda inference nvidia cloud-native gpu-operator llm
-
Updated
May 22, 2026
Improve this page
Add a description, image, and links to the gpu-operator topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the gpu-operator topic, visit your repo's landing page and select "manage topics."