# High-throughput embeddings with vLLM, local or remote

> We added a vLLM embedder with batching support, enabling high-throughput, cost-controlled embeddings on your infrastructure or via remote endpoints.

- Published: 2025-11-05
- Author: Agno Team
- Category: Changelog
- Canonical: https://agno-com-nine.vercel.app/articles/high-throughput-embeddings-with-vllm-local-or-remote
- Markdown: https://agno-com-nine.vercel.app/articles/high-throughput-embeddings-with-vllm-local-or-remote.md

We added a vLLM embedder with batching support, enabling high-throughput, cost-controlled embeddings on your infrastructure or via remote endpoints. This gives you more deployment flexibility without changing your application code.

**Details**

- Batch encoding for better throughput and lower cost per token
- Works with local GPU deployments or managed vLLM services
- Additive capability — simply select vLLM as your embedder

**Who this is for:** Teams requiring performance, data residency, or cost control for embeddings at scale.
