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Cracking AI’s storage bottleneck and supercharging inference at the edge
As AI applications permeate enterprise operations, a critical bottleneck often emerges: data storage.
As AI applications increasingly permeate enterprise operations, from enhancing patient care through advanced medical imaging to powering complex fraud detection models and even aiding wildlife conservation, a critical bottleneck often emerges: data storage. During VentureBeat’s Transform 2025, Greg Matson, head of products and marketing, Solidigm and Roger Cummings, CEO of PEAK:AIO spoke with Michael Stewart, managing partner at M12 about how innovations in storage technology enables enterprise AI use cases in healthcare. “I would say it’s going to move even further toward very high-capacity, whether it’s a one-petabyte SSD out a couple of years from now that runs at very low power and that can basically replace four times as many hard drives, or a very high-performance product that’s almost near memory speeds,” Matson said.
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