IT leaders spend a lot of time these days thinking about how to get the right infrastructure to support their organizations’ AI goals. Not all of them think about where to deploy that infrastructure, but getting the location right is just as important. This is especially true when it comes to AI inference workloads. Not all organizations have the resources or desire to train their own AI models, which means that not all organizations have to worry about deploying their own training infrastructure. They have other options for acquiring models, including using an AI model marketplace or collaborating with partners…

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