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Add documentation for GPU clusters
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@@ -49,6 +49,7 @@ On top of the Free cluster features, Standard clusters offer:
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- Horizontal and vertical scaling
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- Monitoring and log management
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- Zero-downtime upgrades for multi-node clusters with replication
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- Support for GPUs to optimize indexing (AWS only)
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You have a broad choice of regions on AWS, Azure and Google Cloud.
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@@ -76,8 +77,8 @@ This page shows you how to use the Qdrant Cloud Console to create a custom Qdran
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1. Choose your data center region or Hybrid Cloud environment.
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1. Configure RAM for each node.
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> For more information, see our [Capacity Planning](/documentation/operations/capacity-planning/) guidance.
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1. Choose the number of vCPUs per node. If you add more
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RAM, the menu provides different options for vCPUs.
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1. Choose the number of vCPUs and GPUs per node. If you add more
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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).
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1. Select the number of nodes you want the cluster to be deployed on.
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> Each node is automatically attached with a disk, that has enough space to store data with Qdrant's default collection configuration.
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1. Select additional disk space for your deployment.
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@@ -105,6 +106,10 @@ Your cluster should have at least 3 nodes, and each collection should have a rep
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We recommend the **Balanced** tier for disks >= 32 GiB, and the **Performance** tier for disks >= 256 GiB.
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**GPUs (AWS only)**
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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.
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**Backup and Disaster Recovery**
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You should create a backup schedule for your cluster. This ensures that you can restore your data in case of a disaster. You can configure backups in the **Backups** section of the cluster detail page. See [**Backups**](/documentation/cloud/backups/) for more information.
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