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David Myriel
128939f229
- improved landing page for Cloud - edited, proofread and fixed most content - mentioned the addition of gcp - added some visuals
34 lines
1.7 KiB
Markdown
34 lines
1.7 KiB
Markdown
---
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title: Create a cluster
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weight: 20
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---
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# Create a cluster
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This page shows you how to use the Qdrant Cloud Console to create a custom Qdrant Cloud cluster.
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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 Dashboard.
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2. Under **Clusters** 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 or GCP. We are developing support for 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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Your cluster will be reachable on port 443 and 6333 (Rest) and 6334 (gRPC).
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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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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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