On February 3, Intellifusion convened a strategic foresight summit focused on high-performance computing chips, where it declared its intention to allocate its primary R&D efforts over the forthcoming three years towards surmounting the cost barriers linked to large-scale model deployment. Leveraging groundbreaking advancements in its foundational architecture, the company sets its sights on dramatically cutting the inference expenses for one million Tokens by a factor exceeding 100, thereby propelling AI from a cutting-edge innovation to a technology that is both widely available and economically feasible.
