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Update cloud configuration pages
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@@ -10,24 +10,58 @@ This page shows you how to use the Qdrant Cloud Console to create a custom Qdran
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> **Prerequisite:** Please make sure you have provided billing information before creating a custom cluster.
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1. Start in the **Clusters** section of the [Cloud Dashboard](https://cloud.qdrant.io).
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2. Select **Clusters** and then click **+ Create**.
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3. A window will open. Enter a cluster **Name**.
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4. Currently, you can deploy to AWS, GCP, or Azure.
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5. Choose your data center region. If you have latency concerns or other topology-related requirements, [**let us know**](mailto:cloud@qdrant.io).
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6. Configure RAM size for each node (1GB to 64GB).
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> Please read [**Capacity and Sizing**](../../cloud/capacity-sizing/) to make the right choice. If you need more capacity per node, [**let us know**](mailto:cloud@qdrant.io).
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7. Choose the number of CPUs per node (0.5 core to 16 cores). The max/min number of CPUs is coupled to the chosen RAM size.
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8. 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 space offering enough space for your data if you decide to put the metadata or even the index on the disk storage.
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9. Click **Create** and wait for your cluster to be provisioned.
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1. Select **Clusters** and then click **+ Create**.
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1. In the **Create a cluster** screen select **Free** or **Standard**
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For more information on a free cluster, see the [Cloud quickstart](/documentation/cloud/quickstart-cloud). The remaining steps assume you want a standard cluster.
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1. Select a provider. Currently, you can deploy to:
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Your cluster will be reachable on port 443 and 6333 (Rest) and 6334 (gRPC).
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- Amazon Web Services (AWS)
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- Google Cloud Platform (GCP)
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- Microsoft Azure
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1. Choose your data center region. If you have latency concerns or other topology-related requirements, [**let us know**](mailto:cloud@qdrant.io).
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1. Configure RAM for each node (2 GB to 64 GB).
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> For more informtion, see our [**Capacity and Sizing**](/documentation/cloud/capacity-sizing/) guidance. If you need more capacity per node, [**let us know**](mailto:cloud@qdrant.io).
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1. Choose the number of vCPUs per node (0.5 core to 16 cores). If you add more
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RAM, the menu provides differnet options for vCPUs.
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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 space offering enough space for your data if you decide to put the metadata or even the index on the disk storage.
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1. Select the disk space for your deployment. You can choose from 8 GB to 2 TB.
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1. Review your cluster configuration and pricing.
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1. When you're ready, select **Create**. It takes some time to provision your cluster.
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Once provisioned, you can access your cluster on ports 443 and 6333 (REST)
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and 6334 (gRPC).
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You should now see the new cluster in the **Clusters** menu.
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A custom cluster includes the following resources. The values in the table are maximums.
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| Resource | Value (max) |
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|------------|-------------|
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| RAM | 64 GB |
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| vCPU | 16 vCPU |
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| Disk space | 2 TB |
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| Nodes | 10 |
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### Included features
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The features included with this paid cluster are:
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- Dedicated resources
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- Backup and disaster recovery
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- Horizontal and vertical scaling
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- Monitoring and log management
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To learn more about this paid feature, contact us at <FILL IN BLANK>.
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## Next steps
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You will need to connect to your new Qdrant Cloud cluster. Follow [**Authentication**](../../cloud/authentication/) to create one or more API keys.
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You will need to connect to your new Qdrant Cloud cluster. Follow [**Authentication**](/documentation/cloud/authentication/) to create one or more API keys.
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Your new cluster is highly available and responsive to your application requirements and resource load. Read more in [**Cluster Scaling**](../../cloud/cluster-scaling/).
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Your new cluster is highly available and responsive to your application requirements and resource load. Read more in [**Cluster Scaling**](/documentation/cloud/cluster-scaling/).
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