FPGA vs. GPU: Which is better for deep learning?
IBM Big Data Hub
MAY 10, 2024
Built for high throughput, they are especially effective for parallel processing tasks, such as training large-scale deep learning applications. In the field of artificial intelligence, GPUs are chosen for their ability to perform the thousands of simultaneous operations necessary for neural network training and inference.
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