Tools

Qdrant Cluster Calculator

Plan your vector database capacity, estimate RAM requirements, and calculate costs

Embedding Model

Select a model to auto-fill dimensions, or enter custom values below

Number of vectors

Vector dimensions

Matryoshka dimensions

Optional: Add if using hybrid search with sparse vectors

Number of sparse vectors

Elements per vector

Payload size per point (KB)

Quantization

Memory-mapped storage

Store vectors on disk, cache hot data in RAM. Reduces memory but increases latency.

Higher replication improves availability and read throughput

1x (No replication) 2x (High availability) 3x (Maximum redundancy)

Dense vectors8.58 GiB

Sparse vectors0.00 KiB

Payload & indexes1.43 GiB

Total RAM required10.01 GiB

RAM

16 GiB

vCPU

2.0

Nodes

Disk

10.0 GiB

Configuration fits your requirements

Hourly

$0.2130

per hour

Monthly

$155.92

estimated

Yearly

$1870.99

estimated

Prices are estimates based on Qdrant Cloud. Does not include backups or data transfer.