Nearly three-quarters (70%) of enterprises plan to move AI models onto their own on-premises hardware, as interest in private AI systems continues to increase.
IT leader Andrey Korchak emphasized that the majority of smaller market players are likely to choose plug-and-play, white-label solutions over custom infrastructure.
Korchak also pointed out that private AI infrastructure demands significant investment for monitoring and management, making it viable mainly for larger enterprises.
CTO Paul Maker indicated businesses often underestimate the total costs of private AI systems, which include not just hardware but also other necessary expenses.
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