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Recent years have seen a growing demand for artificial intelligence (AI) acceleration hardware. IBM has taken note.
In the earliest days of AI, commercial CPU and GPU technologies were enough to handle the technology’s data sizes and computational parameters. But with the emergence of larger datasets and deep learning models, there is now a clear need for purpose-built AI hardware acceleration.
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