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Nov 15, 2024
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Expand Up @@ -25,10 +25,10 @@ Infinity is a high-throughput, low-latency REST API for serving text-embeddings,

## Why Infinity
* **Deploy any model from HuggingFace**: deploy any embedding, reranking, clip and sentence-transformer model from [HuggingFace]( https://huggingface.co/models?other=text-embeddings-inference&sort=trending)
* **Fast inference backends**: The inference server is built on top of [torch](https://github.com/pytorch/pytorch), [optimum (ONNX/TensorRT)](https://huggingface.co/docs/optimum/index) and [CTranslate2](https://github.com/OpenNMT/CTranslate2), using FlashAttention to get the most out of your **NVIDIA CUDA**, **AMD ROCM**, **CPU**, **AWS INF2** or **APPLE MPS** accelerator. Infinity uses dynamic batching and tokenization dedicated in worker threads.
* **Fast inference backends**: The inference server is built on top of [PyTorch](https://github.com/pytorch/pytorch), [optimum (ONNX/TensorRT)](https://huggingface.co/docs/optimum/index) and [CTranslate2](https://github.com/OpenNMT/CTranslate2), using FlashAttention to get the most out of your **NVIDIA CUDA**, **AMD ROCM**, **CPU**, **AWS INF2** or **APPLE MPS** accelerator. Infinity uses dynamic batching and tokenization dedicated in worker threads.
* **Multi-modal and multi-model**: Mix-and-match multiple models. Infinity orchestrates them.
* **Tested implementation**: Unit and end-to-end tested. Embeddings via infinity are correctly embedded. Lets API users create embeddings till infinity and beyond.
* **Easy to use**: Built on [FastAPI](https://fastapi.tiangolo.com/). Infinity CLI v2 allows launching of all arguments via Environment variable or argument. OpenAPI aligned to [OpenAI's API specs](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings). View the docs at [https:///michaelfeil.github.io/infinity](https:///michaelfeil.github.io/infinity) on how to get started.
* **Easy to use**: Built on [FastAPI](https://fastapi.tiangolo.com/). Infinity CLI v2 allows launching of all arguments via Environment variable or argument. OpenAPI aligned to [OpenAI's API specs](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings). View the docs at [https://michaelfeil.github.io/infinity](https://michaelfeil.github.io/infinity/) on how to get started.

<p align="center">
<a href="https://github.com/runpod-workers/worker-infinity-embedding"><img src="https://github.com/user-attachments/assets/24f1906d-31b8-4e16-a479-1382cbdea046" alt="Logo Runpod" width="50"/></a>
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