NVIDIA Disputes Intel Benchmark Claims in Machine Learning Advantage

GPU maker NVIDIA took issues with Intel’s benchmark claims on CPU’s advantages in machine learning. In its briefing slides for the ISC show, CPU maker Intel claims its Phi CPU is superiority to the GPU in machine learning. In June, when Intel began briefing the press about its upcoming announcements at the ISC (International Super Computing) Conference, the company circulated a presentation deck titled “Fuel Your Insight.” In one slide, the company claimed its Intel Phi processor is “faster and more scalable than the GPU” in machine learning. To back this up, it cited the following comparison: Up to 2.3x faster training per system claim based on AlexNet topology workload (batch size = 1024) using a large image database running 4-nodes Intel Xeon Phi processor 7250 (16 GB MCDRAM, 1.4…


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