![Performance comparison of image classification models on AMD/NVIDIA with PyTorch 1.8 | SURF Communities Performance comparison of image classification models on AMD/NVIDIA with PyTorch 1.8 | SURF Communities](https://communities.surf.nl/files/styles/image_paragraph_narrow/public/paragraph/image/machine_specs2.png?itok=PicsLwGb)
Performance comparison of image classification models on AMD/NVIDIA with PyTorch 1.8 | SURF Communities
![AMD ROCm 4.5 finally brings support for RDNA2 GPUs. Good news for Tensorflow, Pytorch and HIP developers. : r/radeon AMD ROCm 4.5 finally brings support for RDNA2 GPUs. Good news for Tensorflow, Pytorch and HIP developers. : r/radeon](https://i.redd.it/hebaf04442x71.jpg)
AMD ROCm 4.5 finally brings support for RDNA2 GPUs. Good news for Tensorflow, Pytorch and HIP developers. : r/radeon
![Performance comparison of image classification models on AMD/NVIDIA with PyTorch 1.8 | SURF Communities Performance comparison of image classification models on AMD/NVIDIA with PyTorch 1.8 | SURF Communities](https://communities.surf.nl/files/styles/image_paragraph_narrow/public/paragraph/image/gpu_specs.png?itok=L7gtePak)
Performance comparison of image classification models on AMD/NVIDIA with PyTorch 1.8 | SURF Communities
![Supporting efficient large model training on AMD Instinct™ GPUs with DeepSpeed - Microsoft Open Source Blog Supporting efficient large model training on AMD Instinct™ GPUs with DeepSpeed - Microsoft Open Source Blog](https://cloudblogs.microsoft.com/uploads/prod/sites/37/2022/03/Picture2-6234de838b5a4.webp)
Supporting efficient large model training on AMD Instinct™ GPUs with DeepSpeed - Microsoft Open Source Blog
![ONNX Runtime release 1.8.1 previews support for accelerated training on AMD GPUs with the AMD ROCm™ Open Software Platform - Microsoft Open Source Blog ONNX Runtime release 1.8.1 previews support for accelerated training on AMD GPUs with the AMD ROCm™ Open Software Platform - Microsoft Open Source Blog](https://cloudblogs.microsoft.com/uploads/prod/sites/37/2021/07/Get-started-easily.png)