在 Habana Gaudi2 加速器上實現大型語言模型快速推理：以 BLOOMZ 為例

This article presents the results of a collaboration between Hugging Face and the Intel Habana team, focusing on how to leverage Intel's Habana Gaudi2 deep learning accelerator for high-performance inference on BLOOMZ, an open-source multilingual model with 176 billion parameters. As the parameter counts of large language models (LLMs) grow dramatically, running inference efficiently at a reasonable cost and within acceptable time constraints has become a major challenge for enterprises. The Habana Gaudi2, a chip designed specifically for AI training and inference, offers a powerful alternative to mainstream NVIDIA GPUs on the market.