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Daniel Azoulaileft a comment
We built FastEmbed to make local embedding fast and easy. But as customers moved to production, they needed something more scalable and integrated. Qdrant Cloud Inference brings that next step; embedding models that run inside your cluster with no external services. It supports dense, sparse, and image data, and runs on AWS, Azure, and GCP (US only for now). You can embed, store, and search...
Qdrant Cloud InferenceUnify embeddings and vector search across modalities
Qdrant Cloud Inference lets you generate embeddings for text, image, and sparse data directly inside your managed Qdrant cluster. Better latency, lower egress costs, simpler architecture, and no external APIs required.
Qdrant Cloud InferenceUnify embeddings and vector search across modalities