"Enterprises are pursuing AI to remain competitive in today's digital landscape, but they need to harness their proprietary data to differentiate," said Dave Vellante, chief analyst at theCUBE Research, emphasizing the importance of leveraging unique data assets in AI adoption.
Varun Chhabra highlighted that "the most pressing issues preventing AI adoption are quality of data, cost, and energy, power demands, and sustainability concerns," outlining the challenges organizations face.
"This is probably the best platform for enterprise adoption to start," Chhabra said regarding the PowerEdge XE7740, which is designed for inference and fine-tuning with significant networking capabilities.
Chhabra noted about the XE9685L, "Not only are we building the platform, we expect that we can deliver all of this in a rack-scale solution out-of-the-factory integrated," pointing to an integrated approach to AI infrastructure.
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