Solidigm Takes Center Stage in New York at Reuters Momentum AI

Company Leaders Spotlight the Role of Storage in AI at Reuters Event

In New York City last week, Solidigm leaders evangelized the critical role storage plays in scaling AI infrastructure, advocating to the Reuters Momentum AI audience that the buildout of AI isn’t being taken seriously without a specific storage strategy. Watch the full discussion below.

Solidigm at Reuters Momentum AI

At the April 27 event, Solidigm’s Greg Matson, SVP, Head of Products and Marketing, explained in a center stage fireside chat the importance of storage to AI outcomes. The audience consisted of Fortune 500 executives and AI professionals from ac industries all focused on leveraging AI. 

"Inference introduced a seismic shift in enterprise data architecture," Matson said.

It has broken the traditional hierarchy and elevated storage as a strategic asset. 

Matson was joined by Jeff Denworth, co-founder of VAST Data, a key Solidigm customer and AI infrastructure platform company. Denworth outlined how VAST built its platform on Solidigm QLC storage before it was the consensus choice for enterprise and, together the companies have made a shared strategic bet on where enterprise AI is going. 

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Matson concluded the discussion pointing out the forces driving storage demand, from agentic AI to KV cache and RAG, are accelerating simultaneously. This is driving volumetric data growth, and enterprise storage needs to keep up. 

 

“The question isn’t whether to prioritize storage strategy. It's whether you do it before or after your business feels the pain,” said Matson. 

 

Solidigm Workshop: Running AI in World of Unpredictable Scarcity 

 

Solidigm also hosted an executive workshop onsite with select participants discussing collective efforts of running AI in a world of unpredictable security. The workshop began with a panel featuring Solidigm’s Kyle Fukuda, SVP, Head of Global Operations, along with VAST’s Phil Manez, Vice President of Strategic Initiatives, and CoreWeave’s Jacob Yundt, Senior Director of Compute Architecture. 

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The workshop engaged ecosystem leaders focused on real decisions being made under constraint — not future vision. The conversation covered where AI initiatives are being delayed or reshaped, how organizations are balancing adding supply versus reducing demand, and which infrastructure assumptions no longer hold. 

 

“It was striking how aligned leaders are across very different industries when it comes to bringing AI into their business," said Fukuda after the workshop.

Everyone is wrestling with the same things: not enough capacity to go around, looking for ways to reduce demand through architecture and data, and rethinking sourcing and risk from the ground up. 

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