![AMD Extends Support for PyTorch Machine Learning Development on Select RDNA™ 3 GPUs with ROCm™ 5.7 | PyTorch AMD Extends Support for PyTorch Machine Learning Development on Select RDNA™ 3 GPUs with ROCm™ 5.7 | PyTorch](https://pytorch.org/assets/images/2281965-ROCm-development-radeon.jpg)
AMD Extends Support for PyTorch Machine Learning Development on Select RDNA™ 3 GPUs with ROCm™ 5.7 | PyTorch
![AMD & Microsoft Collaborate To Bring TensorFlow-DirectML To Life, Up To 4.4x Improvement on RDNA 2 GPUs AMD & Microsoft Collaborate To Bring TensorFlow-DirectML To Life, Up To 4.4x Improvement on RDNA 2 GPUs](https://cdn.wccftech.com/wp-content/uploads/2021/08/AMD-RDNA-Navi-2-740x404.jpg)
AMD & Microsoft Collaborate To Bring TensorFlow-DirectML To Life, Up To 4.4x Improvement on RDNA 2 GPUs
Unlocking the Power of the AMD GPU: Setting up TensorFlow-DirectML | by Dehan Chia | Python in Plain English
![AMD & Microsoft Collaborate To Bring TensorFlow-DirectML To Life, Up To 4.4x Improvement on RDNA 2 GPUs AMD & Microsoft Collaborate To Bring TensorFlow-DirectML To Life, Up To 4.4x Improvement on RDNA 2 GPUs](https://cdn.wccftech.com/wp-content/uploads/2021/09/AMD-TensorFlow-DirectML-AI-Benchmark-Device-Training-Score-Chart2.jpg)
AMD & Microsoft Collaborate To Bring TensorFlow-DirectML To Life, Up To 4.4x Improvement on RDNA 2 GPUs
Import issue tensorflow 2.1.0 using Windows 10 AMD Radeon processor with GPU · Issue #36618 · tensorflow/tensorflow · GitHub
![PyTorch, Tensorflow, and MXNet on GPU in the same environment and GPU vs CPU performance – Syllepsis PyTorch, Tensorflow, and MXNet on GPU in the same environment and GPU vs CPU performance – Syllepsis](https://syllepsis.live/wp-content/uploads/2022/06/gpu_runtime-1024x705.png)