Artificial intelligence (AI) is rapidly becoming part of our daily lives. While AI takes many forms, the systems that mimic the human brain's learning and problem-solving capability comprise increasingly capable computer based “neural” networks consisting of parallel processors that run complex software algorithms. While the algorithms are key to this technology, the computer power demands are stretching the boundaries of existing power delivery technology. In this white paper, Infineon looks at the power demands for AI systems and presents some of the latest, state-of-the-art power technologies that are enabling advances in this exciting arena.
Deep learning neural networks demand sophisticated power solutions
Once very much a science fiction dream, artificial intelligence (AI) is rapidly becoming part of our daily lives. While AI takes many forms, the systems that mimic the human brain's learning and problem-solving capability comprise increasingly capable computer based “neural” networks consisting of many parallel processors that run complex learning and execution software algorithms.
While the algorithms are key to this technology, the computer power system demands are stretching the boundaries of existing power delivery technology. In this white paper, Infineon looks at the power demands for AI systems and presents some of the latest, state-of-the-art power technologies that are enabling advances in this exciting arena.