Six reasons why today’s AI infrastructure is unsustainable

Organizations are recognizing the value of artificial intelligence and it’s rapidly becoming a standard part of how businesses operate. From automating tedious tasks to generating valuable insights, AI is reshaping how teams work and make decisions. But as adoption grows, the pressure to invest in these platforms is pushing many organizations toward IT infrastructure that wasn’t built with them in mind.

Today, most companies that turn to advanced AI do so through centralized platforms from big tech giants like Microsoft Azure, Google Cloud Platform, and Amazon Web Services. While these platforms offer convenience and high computing power, they also come with high costs, limited flexibility, and long-term risks. For many organizations that value autonomy, the current infrastructure can be expensive and carries unsustainable limitations in the long term.

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