Columbia University study validates HIVE Digital's Paraguay GPU performance

The obsession with Nvidia’s H100 GPUs is overblown. New research proves that older, cheaper A40 hardware matches H100 performance for AI training once code is optimized and raw performance is normalized. This destroys the myth that you need the newest, most expensive chips to lead in AI. If smart engineering can bridge the hardware gap, why are companies still spending billions on the latest silicon? Is the H100 "gold standard" just a marketing bubble? Do you agree?
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