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d-Matrix’s Corsair AI Data Center Platform Named to Fast Company List

Source Decision Insights Record Published October 6, 2026 Companies 2
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2 companies named across 2 categories, the first article referencing d-Matrix.

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Information Technology / AI Infrastructure / AI Compute & Systems / AI Servers & Rack-Scale Systems

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d-Matrix said its Corsair™ AI data center platform was named to Fast Company’s Next Big Things in Tech list, in the Foundational AI category. The company said the recognition followed shipping to priority customers.

d-Matrix framed the platform’s placement in the Foundational AI category around a memory-centric design. The company linked the approach to how it handles data movement between memory and compute in AI inference workloads.

The company said Corsair brings compute directly into memory through a memory-centric design. In the company’s description, that architecture targets data-movement bottlenecks and is intended to support faster and more energy-efficient AI at scale.

Sid Sheth, founder and CEO of d-Matrix, said, “The speed and overall cost of running AI is tied directly to how efficiently data moves between memory and compute,” said Sid Sheth, Founder and CEO of d-Matrix. “From day one we designed Corsair to solve this data movement bottleneck, knowing that memory-centric compute would be the answer. Recognition from Fast Company is a meaningful milestone for our team, coming at the same time customers are beginning to deploy Corsair at scale to make faster, more sustainable inference a reality.”

Brendan Vaughan, editor-in-chief of Fast Company, said, “The most exciting technology innovations are the ones that move beyond promise to demonstrate real potential for impact,” said Brendan Vaughan, editor-in-chief of Fast Company. “The companies and teams recognized on this year’s list are tackling ambitious problems with new ideas, products, and approaches that have the potential to fundamentally shape the years ahead.”

Press release, provided by Cision on behalf of d-Matrix. Read the original.

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