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KIDZ AI Joins AFCOM as Solution Provider Member to Advance High-Density AI Infrastructure and Enterprise GPU Cloud Commercialization

ACCESSWIRE•07/10/2026•07:55 ET
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Key Highlights

  • ➤KIDZ AI joins AFCOM as a Solution Provider Member.
  • ➤AFCOM membership expands KIDZ AI’s engagement across the data center ecosystem.
  • ➤KIDZ AI is advancing GPU cloud commercialization and AI infrastructure planning.
  • ➤Membership provides access to AFCOM research, education, chapters, and infrastructure decision-makers.

Expert Statements

Stephanie Luo, CEO of KIDZ AI

“High-density GPU infrastructure requires more than advanced compute technology-it also depends on power, cooling, facility operations, and the practical requirements of real-world data center environments.”

Stephanie Luo, CEO of KIDZ AI

“Our engagement with OCP and AFCOM gives KIDZ AI broader exposure across both the technical and operational sides of the AI infrastructure ecosystem as we advance our GPU cloud strategy and evaluate future commercial opportunities.”

NEW YORK CITY, NY / ACCESS Newswire / October 7, 2026 / KIDZ AI Inc. (NASDAQ:KIDZ)(NASDAQ:KIDZW) ("KIDZ AI" or the "Company"), an education technology company advancing AI infrastructure and GPU compute initiatives alongside its core EdTech operations, today announced that it has joined AFCOM as a Solution Provider Member, further integrating the Company into the data center ecosystem as it advances its AI infrastructure and GPU cloud commercialization strategy.

AFCOM is a professional association dedicated to data center and IT infrastructure management. With more than 2,000 professionals and more than 30 chapters across North America and Australia, AFCOM connects data center operators, infrastructure professionals, technology providers, and other industry participants across the mission-critical data center ecosystem. AFCOM also supports industry events and educational programs focused on the evolving requirements of data center infrastructure, including power, cooling, operations, and emerging AI workloads.

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