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MLPerf 4.0 training results show up to 80% in AI performance gains
MLPerf 4.0 benchmark demonstrate that it takes more than hardware to improve AI training.
“Even if you look at relative to the last cycle, some of our benchmarks have gotten nearly 2x better performance, in particular Stable Diffusion,” MLCommons founder and executive director David Kanter said in a press briefing. Kanter added that not only are vendors taking advantage of better silicon, they are also using better algorithms and better scaling to provide more performance over time. Salvator noted that the results are a quantitative demonstration that shows how Nvidia is able to deliver new value on top of existing architectures.
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