# Accelerating Protein Language Model ProtST on Intel Gaudi 2

DevFeed: [Accelerating Protein Language Model ProtST on Intel Gaudi 2](<https://devfeed.tech/articles/accelerating-protein-language-model-protst-on-intel-gaudi-2-7291.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/intel-protein-language-model-protst>)

Author: Julien Simon; Jiqing.Feng; Santiago Miret; Xinyu Yuan; Yi Wang; Matrix Yao; Minghao Xu; Ke Ding

Published: 2024-07-03T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [intel](<https://devfeed.tech/topics/intel.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>)

Tags: [accelerators](<https://devfeed.tech/tags/accelerators.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [batch](<https://devfeed.tech/tags/batch.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [inference-performance](<https://devfeed.tech/tags/inference-performance.md>), [intel](<https://devfeed.tech/tags/intel.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [llm](<https://devfeed.tech/tags/llm.md>), [model](<https://devfeed.tech/tags/model.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [optimum](<https://devfeed.tech/tags/optimum.md>), [partnerships](<https://devfeed.tech/tags/partnerships.md>), [pcie](<https://devfeed.tech/tags/pcie.md>), [precision](<https://devfeed.tech/tags/precision.md>), [transformers](<https://devfeed.tech/tags/transformers.md>), [zero-shot](<https://devfeed.tech/tags/zero-shot.md>)

## AI overview

This tutorial explains how to run inference and fine-tune ProtST, a multimodal protein language model, using Intel Gaudi 2 accelerators and the Optimum for Intel Gaudi open-source library. It compares ProtST inference on NVIDIA A100 and Gaudi 2, reporting identical accuracy and 1.76x faster inference on Gaudi 2.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.