AMD Publishes Open-Source "GPUFORT" As Newest Effort To Help Transition Away From CUDA - Phoronix
PDF] GPU Computing with Python: Performance, Energy Efficiency and Usability | Semantic Scholar
Initial Assessment of the AMD MI50 GPGPUs for Scientific and Machine Learning Applications | amd_mi50_benchmarks
AMD | The Linux Cluster
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
PyTorch for AMD ROCm™ Platform now available as Python package | PyTorch
GPU Computing Made Simple with the C++ Vulkan SDK & the C++ Kompute Framework (AMD, Qualcomm, NVIDIA & Friends) - TIB AV-Portal
Beyond CUDA: GPU Accelerated Python for Machine Learning on Cross-Vendor Graphics Cards Made Simple | by Alejandro Saucedo | Towards Data Science
Nvidia vs AMD/ATI GPU cards for scientific computation: which is better? - Quora
AMD/Xilinx、改良版 VCK5000 推論カードでNvidia を狙い撃ち | HPCwire Japan
Amazon | Hands-On GPU Computing with Python: Explore the capabilities of GPUs for solving high performance computational problems | Bandyopadhyay, Avimanyu | Python
AMD/Xilinx Takes Aim at Nvidia with Improved VCK5000 Inferencing Card
AMD Announces The Radeon Open Compute Platform | eTeknix
The Best GPUs for Deep Learning in 2020 — An In-depth Analysis
Multiple GPUs for graphics and deep learning | There and back again
How to put that GPU to good use with Python | by Anuradha Weeraman | Medium
Supporting efficient large model training on AMD Instinct™ GPUs with DeepSpeed - Microsoft Open Source Blog
Introduction to AMD GPU programming with HIP Webinar - June 7, 2019 - YouTube