this post was submitted on 04 Feb 2026
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that's old data. inference uses more than training now, since usage has gone up significantly. they traded places in march or april 2025.
That's the problem of reference. Your individual queries might not consume much - especially when compared to the training - but the more people use it, the more the whole consumption is. At some point running those models will consume more than training them