As businesses across industries transform themselves into data-first operations, the push to find more powerful ways to leverage information, including artificial intelligence (AI) and other forms of data-intensive, high-powered computing, is clear.
While companies can, and should, avail themselves of cloud-based options to test and ramp up AI capabilities, as workloads increase over time, the costs associated with the cloud can rise significantly as workloads scale or the enterprise expands its usage, making an on-premise migration and build-out a real consideration.
Read this white paper, “Investing in AI Infrastructure,” from our friends over at IDC and Supermicro that explores how to scale AI infrastructure effectively, without sacrificing cost efficiency.
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