Qdrant Scaling

---
name: qdrant-scaling
description: "Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'."
allowed-tools:
  - Read
  - Grep
  - Glob
---

# Qdrant Scaling

First determine what you're scaling for:

- data volume
- query throughput (QPS)
- query latency
- query volume

After determining the scaling goal, we can choose scaling strategy based on tradeoffs and assumptions.
Each pulls toward different strategies. Scaling for throughput and latency are opposite tuning directions.


## Scaling Data Volume

This becomes relevant when volume of the dataset exceeds the capacity of a single node.… load the full skill through Skill Me