If there is anything that chip giant Intel has learned over the past two decades as it has gradually climbed to dominance in processing in the datacenter, it is ironically that one size most definitely does not fit all. Quite the opposite, and increasingly so.
As the tight co-design of hardware and software continues in all parts of the IT industry, we can expect fine-grained customization for very precise – and lucrative – workloads, like data analytics and machine learning, just to name two of the hottest areas today.
Software will run most efficiently on hardware that is tuned for …
Why Intel Is Tweaking Xeon Phi For Deep Learning was written by Timothy Prickett Morgan at The Next Platform.