As demand for AI and data-intensive workloads grows, scalable GPU access has become critical. This case study shows how a service provider uses FusionFlow to deliver GPU-as-a-Service (GPUaaS) to its customers through centralized orchestration, automated provisioning, and real-time monitoring. With support for multi-tenant environments, usage-based billing, and white-label customization, FusionFlow enables providers to efficiently manage GPU infrastructure, optimize resource utilization, and operate a scalable GPU cloud service.