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In an industry where time is money, we provide a sub-microsecond "In-Memory Network" data plane to enhance business-critical application allowing simulation accuracy and greatly increased response times. The sheer volume and growth rate of big data for risk analysis, research, and post-trade analytics can strain storage resources. Monte Carlo simulations, tick data analyses, and portfolio optimization activities all require high performance parallel computing, large pools of coprocessors (GPUs) and an optimized architecture.