## Spatial Partitioning of GPUs using Nvidia MIG

In the prior blogs, we discussed why [GPUs are managed differently](https://docs.rafay.co/blog/2024/10/19/using-gpus-in-kubernetes/) in Kubernetes, how the [GPU Operator](https://docs.rafay.co/blog/2024/10/20/why-do-we-need-a-gpu-operator-for-kubernetes/) helps streamline management and various strategies to [share GPUs on Kubernetes](https://docs.rafay.co/blog/2024/10/22/gpu-sharing-strategies-in-kubernetes/). In 2020, Nvidia introduced Multi-Instance GPU (MIG) that takes GPU sharing to a different level.

In this blog, we will start by reviewing some common industry use cases where MIG is used and then dive deeper into how MIG is configured and used.