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loadams merged 2 commits into from
Sep 16, 2024
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Added Intel Gaudi to Accelerator Setup Guide #6543

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Added Intel Gaudi to Accelerator Setup Guide
Sep 16, 2024
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Merge branch 'master' into Add_Intel_Gaudi_Guide
loadams Sep 16, 2024
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8 changes: 8 additions & 0 deletions docs/_tutorials/accelerator-setup-guide.md
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Expand Up @@ -9,6 +9,7 @@ tags: getting-started training accelerator
- [Intel Architecture (IA) CPU](#intel-architecture-ia-cpu)
- [Intel XPU](#intel-xpu)
- [Huawei Ascend NPU](#huawei-ascend-npu)
- [Intel Gaudi](#intel-gaudi)

# Introduction
DeepSpeed supports different accelerators from different companies. Setup steps to run DeepSpeed on certain accelerators might be different. This guide allows user to lookup setup instructions for the accelerator family and hardware they are using.
Expand Down Expand Up @@ -246,3 +247,10 @@ accelerator: npu
## Multi-card parallel training using Huawei Ascend NPU

To perform model training across multiple Huawei Ascend NPU cards using DeepSpeed, see the examples provided in [DeepSpeed Examples](https://github.com/microsoft/DeepSpeedExamples/blob/master/training/cifar/cifar10_deepspeed.py).

# Intel Gaudi
PyTorch models can be run on Intel® Gaudi® AI accelerator using DeepSpeed. Refer to the following user guides to start using DeepSpeed with Intel Gaudi:
* [Getting Started with DeepSpeed](https://docs.habana.ai/en/latest/PyTorch/DeepSpeed/Getting_Started_with_DeepSpeed/Getting_Started_with_DeepSpeed.html#getting-started-with-deepspeed)
* [DeepSpeed User Guide for Training](https://docs.habana.ai/en/latest/PyTorch/DeepSpeed/DeepSpeed_User_Guide/DeepSpeed_User_Guide.html#deepspeed-user-guide)
* [Optimizing Large Language Models](https://docs.habana.ai/en/latest/PyTorch/DeepSpeed/Optimizing_LLM.html#llms-opt)
* [Inference Using DeepSpeed](https://docs.habana.ai/en/latest/PyTorch/DeepSpeed/Inference_Using_DeepSpeed.html#deepspeed-inference-user-guide)