The choice of your AI hardware, software and hosting location should thus be driven not only by short-term cost minimization or promises of unlimited hardware scalability, but also the usability and scalability of the overall AI environment.
While major public cloud providers offer many benefits for various AI use cases, on-premises AI infrastructure — provided by pre-certified hardware and software solutions backed by enterprise-grade support — can dramatically reduce the time to value for AI applications. This is especially true when businesses must protect sensitive data; need highly customized hardware and software configurations; require flexibility in redeploying their AI infrastructure; and require higher levels of support than either hyperscalers or the open-source community can provide.

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