Enterprise leaders grappling with the steep costs of deploying AI models could find a reprieve thanks to a new architecture design. While the capabilities of generative AI are attractive, their immense computational demands for both training and inference result in prohibitive expenses and mounting environmental concerns. At the centre of this inefficiency is the models’










