Learn how AMD is working with Devito using high performance computing to help break down barriers to accurately model and predict the location of valuable resources in the oil and gas industry. 

AMD's open-source HIP API helps developers of GPU-accelerated applications like renderers and simulation tools write code that runs on AMD and NVIDIA hardware. Now the new HIP SDK makes it possible for anyone to use it.

This book aims to provide helpful guidance to GPU programmers looking to develop HIP programs for the ROCm platform using GPUs. The reader of this book will learn how to reason through real-world problems and break them down into independent parts so tha

AI is the defining technology shaping the next generation of computing. Learn how the latest release of the AMD ROCm open software platform enhances AI capabilities with new software add-ons for large language (and other) models.

Learn more about the new AMD ROCm™ Developer Hub where we've made it even easier to access all the latest resources available for the ROCm open software platform.   

High performance computing (HPC) has become an essential part of our modern world performing complex simulations and calculations that are essential to scientific research, engineering, security and other fields. However, as the demand for HPC has grown, often in supercomputers and large datacenters, so has the concern about its environmental impact. In recent years, there has been a growing focus on data center sustainability given the implications on total cost of ownership and climate concerns. In this blog post, we'll explore some of the key issues around data center energy efficiency and discuss some of the strategies from AMD to help reduce environmental impacts from HPC.