Tech giants Dell Technologies and Intel are urging a move toward private cloud and power‑efficient setups. Surveys show many users are not yet prepared: about 70% back up less than half of AI‑generated data, and 80% of enterprise users have not yet seen clear financial returns from generative AI.
Dell’s answer is a separated, modular infrastructure built on Intel processors that blends the strengths of traditional three‑tier and hyperconverged models. This design lets organisations scale compute and storage independently, avoid being locked to one hypervisor, and choose the cloud OS that fits their needs. Dell reports strong revenue growth tied to its AI efforts.
“We saw a lot of incremental value, a lot being added in every new release of the hyperconverged,” said Flavio Fomin, technical sales consultant at Intel, in an interview with theCUBE at Dell’s “5 Steps to a Smarter Private Cloud” event. He argued the new Dell Private Cloud is a larger step that addresses key pain points that small upgrades no longer fix.
Longstanding ties between Dell and Intel show legacy vendors are adapting to AI and multicloud demands. Industry analysts warn that organisations that delay modernising data architecture risk falling behind as AI and app updates drive the next wave of productivity gains.
Dell built the private cloud after listening to customers who wanted more flexibility. The result supports separate hardware and software refresh cycles, which improves composability and cost control. When paired with Intel chips, the setup can deliver better cost‑performance for heavy AI workloads.
“People are looking for choice, and they’re also looking for the best to help them with the different workloads that they have,” said Rob Strechay, principal analyst for theCUBE. This focus on choice and modular design is at the heart of Dell’s pitch: give firms room to grow, lower long‑term costs, and keep AI work both fast and local.
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Private cloud for AI? Seems risky. What about data security and scalability? Lets discuss the potential pitfalls.
I disagree, public cloud offers more scalability and flexibility for AI projects. Private cloud is too restrictive.
Im not convinced private cloud is the best for AI. What about public cloud options? Lets discuss pros and cons!
Im not convinced that private cloud is the best path for AI. What about the flexibility and scalability of public cloud options?
Private cloud for AI? Interesting concept, but isnt the whole point of AI to leverage vast amounts of data? Will it limit innovation?