FPGA vs. GPU: Which is better for deep learning?
IBM Business Partners
MAY 10, 2024
Alternatively, field programmable gate arrays (FPGAs) offer a versatile solution that, while also potentially costly, provide both adequate performance as well as reprogrammable flexibility for emerging applications. Power Efficiency : FPGAs use less power compared to other processors, reducing operational costs and environmental impact.
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