Financial services infrastructure continues to be defined by the need to process larger risk models within fixed power and space constraints. As Monte Carlo-based analytics scale, system bottlenecks increasingly shift from compute to memory bandwidth, where data movement dominates runtime. Monte Carlo methods use repeated random sampling to calculate the probability of different outcomes in













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