By clearly defining these requirements , customers and cloud providers can forge more effective agreements that optimise resource allocation and pricing structures . For instance , a company might negotiate a contract that includes a base level of permanent resources at a fixed cost , coupled with flexible pricing for on-demand resources that can be rapidly scaled up or down .
This approach allows for cost-effective handling of fluctuating workloads , such as sudden spikes in AI model usage during marketing campaigns or seasonal peaks .
Cloud ’ s capabilities going forward Looking ahead , the symbiosis between cloud computing and Gen AI is likely to deepen further , as organisations across sectors increasingly look to integrate it into their operations .
This could no doubt increase more demand and more pressure on cloud providers , and that plus some supply shortages on the chip side , may make the process more expensive .
Yet , the journey of cloud-powered AI in the enterprise is far from over . Major cloud providers are racing to expand
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