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Cloud Costs Crushing AI Innovation: Why Companies Are Pulling Out!

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Manage episode 500422151 series 3660640
Content provided by David Linthicum. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Linthicum or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In a recent article from ITPro Today, new research from Deloitte sheds light on the pressing challenges organizations face as they adopt artificial intelligence (AI) in their operations. As businesses increasingly turn to cloud solutions for their AI needs, they are often unprepared for the skyrocketing costs that come with it. The research uncovers a critical inflection point: when public cloud AI expenses hit 60-70% of the total ownership costs for dedicated infrastructure, organizations find themselves at a tipping point where shifting to private cloud solutions often becomes more sensible.

This rapid evolution from modest AI experiments to significant infrastructure challenges reveals a stark reality; the cloud's initial accessibility can quickly lead to budget constraints as workloads grow more demanding. Meanwhile, technological advancements such as AI-specific processors, including NPUs and TPUs, are changing the landscape of what is possible, necessitating a reevaluation of existing IT setups.

  continue reading

69 episodes

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iconShare
 
Manage episode 500422151 series 3660640
Content provided by David Linthicum. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Linthicum or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In a recent article from ITPro Today, new research from Deloitte sheds light on the pressing challenges organizations face as they adopt artificial intelligence (AI) in their operations. As businesses increasingly turn to cloud solutions for their AI needs, they are often unprepared for the skyrocketing costs that come with it. The research uncovers a critical inflection point: when public cloud AI expenses hit 60-70% of the total ownership costs for dedicated infrastructure, organizations find themselves at a tipping point where shifting to private cloud solutions often becomes more sensible.

This rapid evolution from modest AI experiments to significant infrastructure challenges reveals a stark reality; the cloud's initial accessibility can quickly lead to budget constraints as workloads grow more demanding. Meanwhile, technological advancements such as AI-specific processors, including NPUs and TPUs, are changing the landscape of what is possible, necessitating a reevaluation of existing IT setups.

  continue reading

69 episodes

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