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

Infrastructure planning becomes essential when AI platforms need to expand across multiple regions and support exponential user growth

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By Qumulusai · Ai ScalabilityAmberdMazda MarvastiQumulusai
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Key takeaways

01

Infrastructure planning becomes essential when AI platforms need to expand across multiple regions and support exponential user growth

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.

The roadmap will support a new line of business in 2026 designed to serve hundreds to thousands of users without performance issues.
— Mazda Marvasti, CEO at Amberd
Video TranscriptExpand ↓

So what excites me the most is having a path towards scalability. I wouldn't know how to scale this thing. I got to go to multiple data centers. I got to figure out different things. I got to do different deployments in different locations. Inside of Cumulus, I have a clear roadmap on how to scale. And that's a line of business that we're going to be introducing in twenty twenty six. So what excites me the most is having a path towards scalability of hundreds to thousands of simultaneous users using our system without any issues.

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Qumulusai

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