Dell targets modular AI infrastructure as the key to scaling enterprise deployments
As enterprises move AI initiatives from proof of concept to production, attention is shifting toward modular AI infrastructure that can simplify deployment and scaling. Controlling costs and simplifying operations are emerging as the defining challenges of enterprise AI adoption.
The central challenge for enterprises is making the jump from proof of concept to production. While AI projects often work well with a small group of users, scaling them to enterprise-wide deployment introduces a new set of challenges, according to Varun Chhabra (pictured), senior vice president of product marketing and infrastructure solutions group at Dell Technologies Inc.
“One is, the cost of native token-based pricing is just out of control. It can go really, really out of control, especially as your top users start to see big, big, big value from the workflows,” Chhabra said.”How do you take control of that? How do you budget for that?”
Chhabra spoke with theCUBE’s Dave Vellante at the AMD Advancing AI event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the challenges of scaling AI from proof of concept to production and the growing need for modular AI infrastructure to support enterprise deployments. (* Disclosure below.)
