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Local AI Increased Its Efficiency by 18 in 16 Months, According to Stanford
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A study by Stanford’s Hazy Research group reveals that local AI efficiency increased by 18 in 16 months, thanks to improvements in architecture and hardware. The new ‘July intelligence’ metric and hybrid models promise to reduce cloud inference costs by up to 80%. *** The research presents IPJ and IPW metrics to measure the efficiency of local AI, and finds an 18x improvement in IPJ between 2024 and 2025. Advances in hardware (such as NVIDIA B20…
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