gpu-operator

⚡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.

Production-grade diagnostic automation, preflight validation, Xid error triage, and reproducible test harnesses for NVIDIA AI Enterprise (NVAIE) on Kubernetes & Hybrid Cloud.

Layer 1: Ubuntu and k3s NVIDIA GPU infrastructure, runtime wiring, GPU Operator, and CUDA validation.

Docker image with NVIDIA drivers for Fedora CoreOS

Production engineering handbook and reference Kubernetes manifests for AI inference at scale: GPU Operator, MIG/MPS partitioning, Volcano, vLLM, KServe, and DCGM.

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.

GPU-accelerated Immich machine learning for NVIDIA DGX Spark GB10 (ARM64 CUDA, ONNX Runtime, GPU Operator)

Open-source reference platform for learning and deploying Kubernetes & OpenShift AI Infrastructure, and NVIDIA GPU Operator

Shared CI/CD workflows, pytest test framework, and utilities for ROCm GPU Operator components

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.

GPU-aware Kubernetes infrastructure reference with Terraform, NVIDIA GPU Operator, scheduling controls and operational validation.