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QumulusAI Provides A Clear Roadmap for Scaling AI Platforms to Thousands of Users

Scaling AI platforms can raise questions about how to expand across locations and support higher user volumes. Growth often requires deployments in multiple data centers and regions. Mazda Marvasti, the CEO of Amberd, says having a clear path to scale is what excites him most about the company’s current direction. He notes that expanding…

By Qumulusai · February 19, 2026, 3:24 AM UTCAi ScalabilityAmberdMazda MarvastiQumulusai
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Key takeaways

01

Scaling AI platforms can raise questions about how to expand across locations and support higher user volumes.

02

Growth often requires deployments in multiple data centers and regions.

03

Mazda Marvasti, the CEO of Amberd, says having a clear path to scale is what excites him most about the company’s current direction.

Scaling AI platforms can raise questions about how to expand across locations and support higher user volumes. Growth often requires deployments in multiple data centers and regions.

Mazda Marvasti, the CEO of Amberd, says having a clear path to scale is what excites him most about the company’s current direction. He notes that expanding across different environments would be difficult without a defined plan. Through its work with QumulusAI, Amberd now has a clear roadmap for scaling its platform. Marvasti says that the roadmap will support a new line of business in 2026 designed to serve hundreds to thousands of users without performance issues.

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