Getting to production-ready AI requires much more than fast storage. Enterprises need data-ready AI infrastructure that’s built on clean, governed and well-understood data before any meaningful deployment can scale.

It’s a shift that’s redefining what partners bring to the table, according to Hope Galley (pictured, right), vice president of Americas partner sales at Everpure Inc., and Justin Field (left), technical solutions architect at World Wide Technology Inc., the latter of which was recently named Everpure’s global partner of the year. The conversation is moving decisively away from speeds and toward business outcomes and cross-functional selling into the C-suite.

“Every CIO or CEO knows that they should be in AI,” Galley said. “But what does that mean? What business case? What can AI solve for them? The more that you have a consultative approach, those are the ones who are going to win.”

Galley and Field spoke with theCUBE’s Christophe Bertrand and Alison Kosik at the Pure Accelerate 2026 event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed what data-ready AI infrastructure requires and how the partner model is transforming to meet it. (* Disclosure below.)

Data-ready AI infrastructure requires clean, governed data

The biggest shift in customer conversations is the move from raw performance benchmarks to data preparation, Field noted. WWT’s AI proving grounds and advanced technology centers exist specifically to let customers validate infrastructure decisions at scale before committing, which removes the risk of large investments that underdeliver.

“A lot of those talks have switched over to just the data preparation, and is the data even clean?” Field said. “No matter what you buy, it won’t give you good value if your data isn’t curated and contextualized and ready.”

The newly announced Everpure data intelligence capabilities address that challenge directly, providing partners and customers with documented visibility into what data exists and how many copies are in play, Galley noted. That visibility is foundational for both compliance and data-ready AI infrastructure. Everpure’s Evergreen//One consumption model adds another layer of flexibility, letting customers scale storage commitments in line with AI project timelines rather than being constrained by supply chain uncertainties.

“Clarity is a big thing around AI right now,” Galley said. “Customers are saying, ‘How are you going to help me with AI, and give me the facts behind that on how you’re going to help?'”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the Pure Accelerate 2026 event:

(* Disclosure: TheCUBE is a paid media partner for the Pure Accelerate event. Neither Everpure, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE