Hugging Face 推出適用於 Amazon SageMaker 的 Embedding 容器，大幅提升向量生成效能
Original: Introducing the Hugging Face Embedding Container for Amazon SageMaker
Hugging Face has announced the launch of a new Hugging Face Embedding container (Deep Learning Container, DLC) designed specifically for…
Hugging Face 與 AWS 合作推出全新 Deep Learning Container (DLC)，專為 Amazon SageMaker 上的文字嵌入（Embedding）與序列分類模型進行優化。此容器基於 Hugging Face 的 Text Embeddings Inference (TEI) 技術，支援動態批處理與 Flash Attention，能顯著降低延遲並提高吞吐量，簡化了在 AWS 上部署 RAG 應用的流程。
Hugging Face has announced the launch of a new Hugging Face Embedding container (Deep Learning Container, DLC) designed specifically for Amazon SageMaker. This new tool aims to simplify and accelerate the deployment of high-performance text embedding and sequence classification models in AWS cloud environments, making it particularly well-suited for building AI applications such as Retrieval-Augmented Generation (RAG) and semantic search.
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