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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

This makes GPUs well suited for data-heavy, matrix math-based, ML training workloads, and real-time inference workloads needing synchronicity at scale. Both use cases require the ability to move data around the chip quickly and controllably. FSI use cases As with other industry sectors, there are two reasons why FSI uses acceleration.

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