Artificial intelligence (AI) has advanced to the point where leading research universities and dozens of technology companies including Google and Nvidia are taking part in comparisons of their chips.
Results of the latest round of benchmarks released this week showed that both Nvidia and Google have demonstrated they can reduce from days to hours the compute time necessary to train deep neural networks used in some common AI applications.
“The new results are truly impressive,” Karl Freund, senior analyst for machine learning at Moor Insights & Strategy, wrote in a commentary posted on EE Times. Of the six benchmarks, Nvidia and Google each racked up three top spots. Nvidia reduced its run-time by up to 80% using the V100 TensorCore accelerator in the DGX2h building block. Read More
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