Milvus
Indicative from-price range
Indicative from-price range for self-hosting Milvus on 1 server: about $24 to $112 per month (USD), as of 2026-10-19, for the reference workload (Vector count (millions): 10; Embedding dimension: 768; Peak query concurrency: 20; Daily ingest (GB): 5). From-price by provider, each the cheapest server in that provider's own shortlist: $24 on DigitalOcean (basic-2vcpu-4gb, 2 vCPU, 4 GB RAM, fra1); $64 on OVHcloud (rise-1, 6 vCPU, 32 GB RAM, eu-west); $66 on Hetzner (AX41, 6 vCPU, 64 GB RAM, eu-central); $138 on Amazon Web Services (i7i.large, 2 vCPU, 16 GB RAM, us-east-1); $176 on Google Cloud (c4a-standard-4-lssd, 4 vCPU, 16 GB RAM, us-central1); $426 on Servers.com (el-01, 16 vCPU, 192 GB RAM, eu-west); $508 on Microsoft Azure (L8s_v4, 8 vCPU, 64 GB RAM, eastus).
Reference workload
- Vector count (millions): 10
- Embedding dimension: 768
- Peak query concurrency: 20
- Daily ingest (GB): 5
Methodology
This range is generated automatically from public provider price lists. It has not been reviewed by a person, it is not a quote, and it may differ from the total the calculator chooses for your own workload with its AI step. Method: the calculator's offer shortlist for the reference workload (the same ranking it builds before the AI step, up to 12 offers across providers; 12 here) is priced at its monthly list price in USD. The low end is the cheapest of the per-provider from-prices below and the high end is the median server of the combined shortlist, each multiplied by 1, the smallest baseline topology (standalone-vector-store). The from-price for each provider applies the same method to that provider's own shortlist (the calculator's ranking restricted to that provider), so it is the cheapest server that ranking offers there, not a recommendation. Prices are taken from the price snapshot dated 2026-10-19; prices quoted in EUR are converted with the ECB reference rate dated 2026-10-19. Servers with fewer than 2 vCPU or less than 4 GB RAM are not priced. Only server rental list prices for the product's own servers are counted: dependencies, licences, support, traffic charges, taxes and setup fees are not included.
Price sources
- Amazon Web Services: https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/us-east-1/index.json
- DigitalOcean: https://www.digitalocean.com/pricing/droplets
- Google Cloud: https://cloudbilling.googleapis.com/v1/services/6F81-5844-456A/skus
- Hetzner: https://www.hetzner.com/_resources/app/data/app/live_data_en_EUR.json
- Microsoft Azure: https://prices.azure.com/api/retail/prices
- OVHcloud: https://eu.api.ovh.com/1.0/order/catalog/public/eco?ovhSubsidiary=FR
- Servers.com: https://www.servers.com/products/scalable-bare-metal
Size Milvus for your own workloadMarkdown versionFor AI agents (llms.txt)
Milvus is an open-source, cloud-native vector database built for storing, indexing, and searching massive collections of embedding vectors at low latency. Developed by Zilliz, it is commonly used as the retrieval layer behind similarity search, recommendation, and RAG applications.
Baseline topologies
| Topology | Minimum nodes | Roles |
|---|---|---|
| standalone-vector-store | 1 | milvus |
| distributed-vector-cluster | 3 | milvus-query, milvus-data, milvus-coordination |
What drives the cost
- Vector count (millions)
- Approximate number of stored vectors before replica or distributed-system overhead.
- Embedding dimension
- Dimension of the embeddings stored in the primary collections.
- Peak query concurrency
- Expected peak concurrent similarity or filtered retrieval requests.
Where it runs
bare_metal, dedicated, cloud_vm
Size Milvus and get a cost estimate