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Samuel Strijdom

Samuel Strijdom | Interdisciplinary Research Hub
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The GPU Capital Paradox: Why Economic Theory Holds the Key to Computational Efficiency
Somewhere in a data centre right now, a GPU worth more than a small car is doing absolutely nothing. Across data centres globally, advanced GPUs are humming away continuously, yet a staggering portion of their capacity sits idle. High-performance computing systems routinely achieve only about 10% of their theoretical peak throughput during actual workloads. Across industries, GPU servers maintain an average utilisation of 20-40%, leaving the majority of their processing power
samuelstrijdom
Jun 208 min read
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The Blind Spot in Every Balance Sheet: The Hidden Forces That Drive True Value
What if the most critical indicator of your organisation’s future resilience isn’t on its balance sheet at all? For generations, we have...
samuelstrijdom
Jun 145 min read
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