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This article discusses the importance of choosing the right software stack for AI and HPC tasks, with a focus on the three major players: Nvidia’s CUDA, Intel’s oneAPI, and AMD’s ROCm. Each stack has its own strengths and weaknesses, but CUDA currently dominates due to its long history and mature ecosystem. The article also explores the integration of these stacks with the popular AI framework PyTorch and briefly mentions two higher-level HPC languages: Chapel and Julia.