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Intel To Duke It Out With Nvidia In The Coprocessor Market

Forbes

In our previous analysis, we discussed how Intel is competing with Nvidia in the data center coprocessor market. These computational capabilities make GPUs ideally suited for use as coprocessors in High Performance Computing environments. It is worth noting that GPUs have a parallel architecture with hundreds of cores, making it highly suited for matrix and vector operations in both deep learning and 3D computer graphics. Currently, it is debatable as to which one – Intel's Xeon Phi processor family (formerly code-named Knightsbridge) or Nvidia's Tesla processors – is better in terms of performance.