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Clarified that you can only add 1 gpu

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Bastian Hofmann
2026-04-07 10:44:09 +02:00
parent 15a95ba922
commit c29622a642
1 changed files with 2 additions and 2 deletions
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qdrant-landing/content/documentation/cloud/create-cluster.md
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@@ -78,7 +78,7 @@ This page shows you how to use the Qdrant Cloud Console to create a custom Qdran
1. Configure RAM for each node.
> For more information, see our [Capacity Planning](/documentation/operations/capacity-planning/) guidance.
1. Choose the number of vCPUs and GPUs per node. If you add more
RAM, the menu provides different options for vCPUs. For higher RAM configurations, you can also choose to add GPUs to optimize indexing performance (AWS only).
RAM, the menu provides different options for vCPUs. For higher RAM configurations, you can also choose to add a GPU to optimize indexing performance (AWS only).
1. Select the number of nodes you want the cluster to be deployed on.
> Each node is automatically attached with a disk, that has enough space to store data with Qdrant's default collection configuration.
1. Select additional disk space for your deployment.
@@ -108,7 +108,7 @@ We recommend the **Balanced** tier for disks >= 32 GiB, and the **Performance**
**GPUs (AWS only)**
If you have a write-heavy workload, you can add GPUs to optimize indexing performance. See [**GPUs for Indexing**](/documentation/operations/running-with-gpu/) for more information. All GPU settings will be configured automatically by the cloud platform.
If you have a write-heavy workload, you can add a GPU to each node to optimize indexing performance. See [**GPUs for Indexing**](/documentation/operations/running-with-gpu/) for more information. All GPU settings will be configured automatically by the cloud platform.
**Backup and Disaster Recovery**