## [Choosing the Right Fractional GPU Strategy for Cloud Providers](https://docs.rafay.co/blog/2025/07/10/choosing-the-right-fractional-gpu-strategy-for-cloud-providers/)

As demand for GPU-accelerated workloads soars across industries, cloud providers are under increasing pressure to offer flexible, cost-efficient, and isolated access to GPUs. While full GPU allocation remains the norm, it often leads to resource waste—especially for lightweight or intermittent workloads.

In the [previous blog](https://docs.rafay.co/blog/2025/07/08/demystifying-fractional-gpus-in-kubernetes-mig-time-slicing-and-custom-schedulers/), we described the three primary technical approaches for fractional GPUs. In this blog, we'll explore the most viable approaches to offering fractional GPUs in a **GPU-as-a-Service (GPUaaS)** model, and evaluate their suitability for **cloud providers serving end customers**.