A review of purpose-built accelerators for financial services
AWS Machine Learning Blog
SEPTEMBER 11, 2024
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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