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Update qdrant-landing/content/documentation/guides/capacity-planning.md

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Co-authored-by: Tim Visée <tim@visee.me>
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David Myriel
2024-09-26 18:56:04 -07:00
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co-authored by Tim Visée
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@@ -83,6 +83,8 @@ In this scenario, only the active subset of vectors will be cached in RAM, allow
memory_size = number_of_active_vectors * vector_dimension * 4 bytes * 1.5
```
Please refer to our [multitenancy](/documentation/guides/multiple-partitions/) documentation for more details on partitioning data in a Qdrant.
## Scaling disk space in Qdrant Cloud
Clusters supporting vector search require substantial disk space. If you're running low on disk space, you can use the UI at [cloud.qdrant.io](https://cloud.qdrant.io/) to **Scale Up** your cluster.