⚡Instant Stable Diffusion on k8s(Kubernetes) with Helm
-
Updated
Jul 12, 2023 - Dockerfile
⚡Instant Stable Diffusion on k8s(Kubernetes) with Helm
This project is designed to simulate GPU information, making it easier to test scenarios where a GPU is not available.
ML 시스템을 시간 소모 없이 쿠버로 이전할 수 있다면?
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.
Layer 1: Ubuntu and k3s NVIDIA GPU infrastructure, runtime wiring, GPU Operator, and CUDA validation.
Instant USDC payouts for GPU operators. Connect your RTX 4090/5090 to Spraay and get paid in USDC on Base every time a job completes. No 2-week wait. No PayPal. No platform fees. Supports vLLM, Ollama, ComfyUI. Batch split payouts to multiple wallets.
Docker image with NVIDIA drivers for Fedora CoreOS
Homelab GitOps repo
Production-ready GPU-enabled Kubernetes AI infrastructure platform with NVIDIA GPU Operator, CUDA workloads, Ollama GPU inference, autoscaling, monitoring, and distributed AI compute support.
Add a description, image, and links to the gpu-operator topic page so that developers can more easily learn about it.
To associate your repository with the gpu-operator topic, visit your repo's landing page and select "manage topics."