Preface: In the zone artificial intelligence (AI), NVIDIA and AMD are leading the way, pushing the limits of computing power. Both companies have launched powerful AI chips, but the comparison between the H100 and MI250X raises the question of superiority.

Background: What is AMD Instinct MI250X? AMD Instinct™ MI250X Series accelerators are uniquely suited to power even the most demanding AI and HPC workloads, delivering exceptional compute performance, massive memory density, high-bandwidth memory, and support for specialised data formats.

AMD now has more computing power than Nvidia in the Top500. Five systems use AMD processors (El Capitan, Frontier, HPC6, LUMI, and Tuolumne) while three systems use Intel (Aurora, Eagle, Leonardo).

Software Stack: ROCm offers a suite of optimizations for AI workloads from large language models (LLMs) to image and video detection and recognition, life sciences and drug discovery, autonomous driving, robotics, and more. ROCm supports the broader AI software ecosystem, including open frameworks, models, and tools.

HIP is a thin API with little or no performance impact over coding directly in NVIDIA CUDA or AMD ROCm.

HIP enables coding in a single-source C++ programming language including features such as templates, C++11 lambdas, classes, namespaces, and more.

Developers can specialize for the platform (CUDA or ROCm) to tune for performance or handle tricky cases.

Ref:  What is the difference between ROCm and hip?

ROCm™ is AMD’s open source software platform for GPU-accelerated high performance computing and machine learning. HIP is ROCm’s C++ dialect designed to ease conversion of CUDA applications to portable C++ code.

Official article: Please refer to the link for details

https://www.amd.com/en/products/accelerators/instinct/mi200/mi250x.html