Will The Cost of Scaling Infrastructures Limit AI’s Potential?

AI delivers innovation at a rate and pace the world has never experienced, but the resources required to store and compute data in the age of AI will vastly exceed availability if limited to conventional technologies. The race is on to scale AI workloads while controlling infrastructure costs. Both conventional infrastructure providers and an emerging wave of alternative infrastructure providers are actively pursuing efforts to increase the performance of processing AI workloads while reducing costs, energy consumption, and the environmental impact to meet the rapidly growing needs of enterprises scaling AI workloads. Alternative technologies in development include quantum computing, DNA computational platforms, and photonic computing.