在 Intel Habana Gaudi 上開始使用 Transformers 入門指南
Original: Getting Started with Transformers on Habana Gaudi
This blog post introduces a collaboration between Hugging Face and Intel's Habana Labs, aimed at simplifying the process of training large…
Hugging Face 與 Intel Habana Labs 合作推出 optimum-habana 庫。開發者只需將標準的 Trainer 替換為 GaudiTrainer，即可在 AWS DL1 等 Gaudi 實例上進行高效能、低成本的 Transformer 模型訓練。這為 NVIDIA 之外的 AI 晶片生態系提供了一個強大的替代方案，能有效降低高達 40% 的訓練成本。
This blog post introduces a collaboration between Hugging Face and Intel's Habana Labs, aimed at simplifying the process of training large Transformer models on Habana Gaudi processors (HPUs). As deep learning models have grown exponentially in scale, the demand for compute has intensified — NVIDIA GPUs are in short supply and come at high cost, making Intel's Habana Gaudi an attractive cost-effective alternative.
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