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Facing High GPU Costs and Infrastructure Constraints, Amberd Turned to QumulusAI for Fixed-Cost AI

Amberd faced high GPU costs and infrastructure constraints when partnering with hyperscalers. By collaborating with QumulusAI, they managed to create a tailored environment that supported their pricing structure and delivery model. This partnership enabled Amberd to provide AI services at a fixed monthly cost.

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By Qumulusai · Ai Service ProvidersAmberdGpu CapacityMazda Marvasti
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Key takeaways

01

Amberd struggled with high GPU costs through hyperscaler partners.

02

QumulusAI provided a tailored infrastructure solution.

03

The partnership allowed Amberd to maintain a fixed-cost AI service delivery.

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Providing managed AI services at a predictable, fixed cost can be challenging when hyperscaler pricing models require substantial upfront GPU commitments. Large upfront commitments and limited infrastructure flexibility may prevent providers from aligning costs with their delivery model.

Amberd CEO Mazda Marvasti encountered this issue when exploring GPU capacity through Amazon. The minimum requirement was an eight-GPU commitment totaling roughly $40,000 per month — an investment that did not support his company’s pricing structure. He also found that the surrounding infrastructure lacked the customization needed to properly run his platform across customers. Partnering with QumulusAI allowed his team to architect an environment tailored to their technical requirements, ultimately enabling Amberd to deliver AI services at a consistent, fixed monthly cost.

Video TranscriptExpand ↓

Running on Cumulus has been the only way that we've been able to deliver a managed AI services at a fixed cost. I also tried to get GPUs from Amazon, perfectly honest with you, right? They wouldn't give me anything less than eight GPUs, forty thousand a month, completely unacceptable. The infrastructure that I needed on top of that to be able to utilize our system just wasn't there. Working with the engineers at Cumulus, I was able to kind of figure out how to put the thing together so that it worked for all of our customers. And that's what we ended up doing. And that's why, you know, running on Cumulus has been the only way that we've been able to deliver a managed AI services at a fixed cost.

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Mazda Marvasti is the CEO of Amberd. He faced challenges with hyperscaler pricing models which required substantial upfront GPU commitments, complicating his company's ability to align costs with delivery models.

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