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Cloud system

Qdrant Cloud Inference

Run Inferencing Natively in Qdrant Cloud

Qdrant Cloud Inference lets you generate and store text and image embeddings directly within your managed Qdrant Cloud cluster, eliminating external pipelines and supporting multimodal and hybrid search from a single API.

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Cloud inference scheme

Embed faster. Query faster. Go hybrid or multimodal.

AI

Vector search with built-in embeddings

Generate embeddings inside the network of your Qdrant Cloud cluster. No separate model server or pipeline needed.

Bars growth

In-cluster inference, lower latency

Generate embeddings and run search in-region on AWS, Azure, or GCP (US only). No external hops, no extra egress. Ideal for real-time apps that can’t afford delays or data transfer overhead.

Cloud data

Supports Dense, Sparse & Image Models

Build vector search the way you need. Use dense models like all-MiniLM-L6-v2 for fast semantic match, sparse models like splade-pp-en-v1 or bm25 for keyword recall, or CLIP-style models for image and text. Need Hybrid and/or multimodal search? Covered.

Get started with up to 5 million free tokens

*Per model, renewed monthly

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Qdrant Cloud Inference Documentation

Read the Documentation

FAQs

Is Qdrant Cloud Inference available on free accounts?
Inference is only available on paid Qdrant Cloud clusters.
What kinds of data can I embed?
You can embed both text and image data using the current available models.
Where are the embeddings generated?
Embeddings are generated inside the network of your cluster, which removes external API overhead.
How much does it cost?
Inference is billed per token, and costs depend on the model. Each month, Qdrant Paid Cloud users get up to 5 million tokens free, depending on the model, and unlimited tokens for BM25.
How do I get started?
If you're on a paid plan, Cloud Inference is enabled by default.
Will there be options for other embedding models?
We plan to add models incrementally based on customer feedback.

Run Inferencing Natively in Qdrant Cloud

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