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Update Qdrant Cloud Inference - Launch Blog.md
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social_preview_image: /blog/qdrant-cloud-inference/inference-how-it-works.png
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date: 2025-07-14T00:00:00Z
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author: Daniel Azoulai
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featured: false
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featured: true
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tags:
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- vector search
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- enterprise
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- monitoring
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- RBAC
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- observability
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- inference
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- multimodal search
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- hybrid search
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---
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# Introducing Qdrant Cloud Inference
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## Supported Models for Multimodal and Hybrid Search Applications
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At launch, Qdrant Cloud Inference includes six curated models to start with. Choose from dense models like `all-MiniLM-L6-v2` for fast semantic matching, `mxbai/embed-large-v1` for richer understanding, or sparse models like `splade-pp-en-v1` and `bm25`. For multimodal workloads, Qdrant uniquely supports `OpenAI CLIP`\-style models for both text and images.
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At launch, Qdrant Cloud Inference includes six curated models to start with. Choose from dense models like `all-MiniLM-L6-v2` for fast semantic matching, `mxbai/embed-large-v1` for richer understanding, or sparse models like `splade-pp-en-v1` and `bm25`. For multimodal workloads, Qdrant uniquely supports `OpenAI CLIP`-style models for both text and images.
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*Want to request a different model to integrate? You can do this at [https://support.qdrant.io/](https://support.qdrant.io/).*
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## Start Embedding Today
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You can get started\* now by logging into [Qdrant Cloud](https://cloud.qdrant.io/), selecting a model, and embedding your data directly. No extra APIs. No new tools. Just faster, simpler AI application development.
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You can get started now by logging into [Qdrant Cloud](https://cloud.qdrant.io/), selecting a model, and embedding your data directly. No extra APIs. No new tools. Just faster, simpler AI application development.
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*\*Available for paid cloud users. Available on AWS, Azure, and GCP for US regions only. Additional regions will be added soon.*
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*Available for paid cloud users. Available on AWS, Azure, and GCP for US regions only. Additional regions will be added soon.*
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## Join us live for an inferencing webinar on July 31
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