在 AWS 上進行基礎模型訓練與推理的建構基石 (Building Blocks)
Original: Building Blocks for Foundation Model Training and Inference on AWS
In the era of generative AI, training and deploying foundation models with billions of parameters faces enormous computational and…
Hugging Face 與 AWS 合作介紹在 AWS 上構建基礎模型的關鍵組件。文章涵蓋如何利用 AWS Trainium 和 Inferentia 晶片，並結合 Hugging Face Optimum Neuron 庫來優化效能。同時，也探討了透過 Amazon SageMaker 與專屬深度學習容器（DLCs）來簡化分散式訓練與高吞吐量推理的部署流程。
In the era of generative AI, training and deploying foundation models with billions of parameters faces enormous computational and architectural challenges. Hugging Face and AWS have collaborated deeply to introduce a series of "building blocks" aimed at simplifying the process of large-scale model training and inference on AWS cloud infrastructure, while also reducing costs.
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