# Overview

This document describes an example workload of the Intel® Data Center GPU Max Series. 

## AI workflows

**Computer vision examples:**

- [Model Zoo ResNet-50-v1.5 image classification inference](https://github.com/IntelAI/models/blob/master/quickstart/image_recognition/pytorch/resnet50v1_5/inference/gpu/DEVCATALOG_MAX.md) using Intel® Extension for PyTorch on Intel® Max Series GPU

- [Model Zoo ResNet-50-v1.5 image classification training](https://github.com/IntelAI/models/blob/master/quickstart/image_recognition/pytorch/resnet50v1_5/training/gpu/DEVCATALOG.md) on Intel® Data Center GPU Max Series using Intel® Extension for PyTorch

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- [Model Zoo ResNet-50-v1.5 image classification training](https://github.com/IntelAI/models/blob/master/quickstart/image_recognition/tensorflow/resnet50v1_5/training/gpu/DEVCATALOG.md) using Intel® Extension for TensorFlow on Intel® Data Center GPU Max Series

**Natural Language Processing (LLM) examples:**

- [BERT large training](https://github.com/IntelAI/models/blob/master/quickstart/language_modeling/pytorch/bert_large/training/gpu/DEVCATALOG.md) using PyTorch framework and MLCommons dataset
- [BERT large inference](https://github.com/IntelAI/models/blob/master/quickstart/language_modeling/pytorch/bert_large/inference/gpu/DEVCATALOG.md) using PyTorch framework and SQUAD dataset

## High-performance computing

| Domain        | Procedure                                        |
| ------------- | ------------------------------------------------ |
| System test   | [Stream Triad (BabelSTREAM)](hpc/BabelSTREAM.md) |
| System test   | [DGEMM](hpc/DGEMM.md)                            |
| Life sciences | [LAMMPS](hpc/LAMMPS.md)                          |
| Life sciences | [AutoDock-GPU](hpc/autodock.md)                  |
| FSI           | [Binomial Options](hpc/binomial.md)              |
| FSI           | [Black-Scholes](hpc/black_scholes.md)            |
| FSI           | [Monte Carlo](hpc/monte_carlo.md)                |
| Physics       | [DPEcho](hpc/DPEcho.md)                          |