In today’s market, organizations that fail to invest in forward-looking AI infrastructure risk being left behind as the race to support more complex workflows accelerates.But as demand for real-time data processing and super-intelligence hits a fever pitch, the next generation of applied AI applications, from advanced robotics to large-scale autonomous agents, requires a total paradigm shift. That pressure is prompting organizations to rethink how they build and scale their underlying systems, according to Sam Khosroshahi (pictured), vice president of strategy at Lambda Inc., an Nvidia Corp.-powered AI infrastructure company