# GPU Sharing

Note: Before changing the Worker MIG Strategy, scale the application using GPU Operator to 0

**Step 1:** In the menu, select **AI Infrastructure**> **Managed GPU Cluster**. The system will display the **GPU Cluster Management** page. Select the cluster you want to add GPU software to.

![](/files/f37d78cb170170c76fba4f91c6c4e5876df3ee87)

**Step 2:** In the Node Pools tab, select the Worker MIG Strategy you want to use.

![](/files/45338bf6beb82fa055c75ffb1cb356564e57a769)

**Step 3**: Select the MIG Profile, then click the Save button

![](/files/be8bffd2f9d87f34efac902aa130050446edaccc)

**None**: No GPU sharing - each Pod uses an entire physical GPU.

**Single**: Each GPU is divided into smaller portions.

* MIG-single-7x1g.10gb: Divides the physical GPU into 7 1g.10gb instances
* MIG-single-4x1g.20gb: Divides the physical GPU into 4 instances of 1g.20gb
* MIG-single-3x2g.2gb: Split the physical GPU into 3 instances of 2g.20gb
* MIG-single-2x3g.40gb: Divides the physical GPU into 2 instances of 3g.40gb
* MIG-single-1x4g.40gb: Split the physical GPU into 1 instance of 4g.40gb
* MIG-single-1.7g.80gb: Split the physical GPU into 1 instance of 7g.80gb

→ If you do not need to split the GPU, select **None**.

Note:

The MIG strategy change process will take a few minutes, and the Cluster status will change to **Processing** until the new worker successfully joins the cluster. The cluster will continue to operate normally during this process


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