How to: 🎯 Use Cases
| Use Case | Description | Learn More |
|----------|-------------|------------|
| **GPU Cloud Providers** | Launch managed K8s for GPUs. Give customers isolated, production-grade Kubernetes fast. | [View →](https://www.vcluster.com/solutions/gpu-cloud-providers) |
| **Internal GPU Platform** | Maximize GPU utilization without sacrificing isolation. Self-service access for AI/ML teams. | [View →](https://www.vcluster.com/solutions/internal-gpu-platform) |
| **AI Factory** | Run AI on-prem where your data lives. Multi-tenant K8s for training, fine-tuning, inference. | [View →](https://www.vcluster.com/solutions/ai-factory) |
| **Bare Metal K8s** | Run Kubernetes on bare metal with zero VMs. Isolation without expensive overhead. | [View →](https://www.vcluster.com/solutions/bare-metal-kubernetes) |
| **Software Vendors** | Ship Kubernetes-native software. Each customer gets their own isolated virtual cluster. | [View →](https://www.vcluster.com/solutions/software-vendors) |
| **Cost Savings** | Cut Kubernetes costs by consolidating clusters. Sleep mode pauses inactive clusters. | [View →](https://www.vcluster.com/cost-savings) |

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