The crisis of AI's hidden costs
Briefly

The article highlights the wasteful expenditures in cloud computing, where enterprises spend disproportionately on high-performance instances, yet utilize only a fraction of that capacity. This overprovisioning creates excessive costs, not just in compute resources but also in supporting infrastructure like cooling and management. The author emphasizes that cloud economics should enhance competitiveness but, currently, it acts as a financial burden. Inefficiencies in utilization, especially noted in the substantial revenues generated by cloud providers, underline the need for enterprises to reassess and optimize their cloud strategies to unlock true value and innovation.
If you're running 1,000 high-performance instances and each costs a buck an hour, that's $720,000 a month, but you're only using about $93,600 worth of computing.
Overprovisioning is masking more profound problems in your architecture; you're wasting money on unused compute and also paying for cooling, power, management, and software licenses.
Cloud computing is supposed to be your competitive advantage, not your financial anchor; until enterprises tackle this waste, cloud economics will remain a promise.
In 2023, cloud providers deployed 878,000 accelerators generating $5.8 billion in revenue, but this masks troubling inefficiencies that need to be addressed.
Read at InfoWorld
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