👉 Arms computing refers to the use of Graphics Processing Units (GPUs) to perform complex computations, particularly in parallel processing tasks, which are common in machine learning, artificial intelligence, and scientific simulations. Unlike traditional CPUs, which excel at handling sequential tasks with a focus on efficiency, GPUs are designed with thousands of smaller cores optimized for executing multiple operations simultaneously. This architecture makes them exceptionally well-suited for tasks involving large datasets and intricate mathematical calculations, such as training deep neural networks. By leveraging the massive parallel processing power of GPUs, arms computing significantly accelerates computationally intensive tasks, enabling faster model training, improved performance in real-time applications, and more efficient handling of big data. This advancement has revolutionized fields like AI research, autonomous systems, and high-performance computing, making GPUs an indispensable tool in modern computational science.
