diff --git a/_posts/2024-10-25-intel-gpu-support-pytorch-2-5.md b/_posts/2024-10-25-intel-gpu-support-pytorch-2-5.md index da8b907b5c69..b97622edfa83 100644 --- a/_posts/2024-10-25-intel-gpu-support-pytorch-2-5.md +++ b/_posts/2024-10-25-intel-gpu-support-pytorch-2-5.md @@ -1,7 +1,7 @@ --- layout: blog_detail title: "Intel GPU Support Now Available in PyTorch 2.5" -author: PyTorch Team at Intel +author: PyTorch Team at Intel --- Support for Intel GPUs is now available in PyTorch® 2.5, providing improved functionality and performance for Intel GPUs which including [Intel® Arc™ discrete graphics](https://www.intel.com/content/www/us/en/products/details/discrete-gpus/arc.html), [Intel® Core™ Ultra processors](https://www.intel.com/content/www/us/en/products/details/processors/core-ultra.html) with built-in Intel® Arc™ graphics and [Intel® Data Center GPU Max Series](https://www.intel.com/content/www/us/en/products/details/discrete-gpus/data-center-gpu/max-series.html). This integration brings Intel GPUs and the SYCL\* software stack into the official PyTorch stack, ensuring a consistent user experience and enabling more extensive AI application scenarios, particularly in the AI PC domain. diff --git a/assets/images/performance-gains-over-fp32-eager-2.png b/assets/images/performance-gains-over-fp32-eager-2.png index d8d9c32f3edc..769b74fd9980 100644 Binary files a/assets/images/performance-gains-over-fp32-eager-2.png and b/assets/images/performance-gains-over-fp32-eager-2.png differ