Amberd Moves to the Front of the Line With QumulusAI’s GPU Infrastructure

Reliable GPU infrastructure determines how quickly AI companies can execute. Teams developing private LLM platforms depend on consistent high-performance compute. Shared cloud environments often create delays when demand exceeds available capacity.

Amberd CEO Mazda Marvasti says waiting for GPU capacity did not align with his company's pace. Amberd required guaranteed availability to support its private LLM platform. Cost predictability was equally important. Marvasti turned to QumulusAI to secure priority, fixed-cost GPU infrastructure. He says this approach removed uncertainty around GPU availability and stabilized expenses. The model allows Amberd to move quickly while passing predictable infrastructure costs to customers.

This approach removed uncertainty around GPU availability and stabilized expenses.
— Mazda Marvasti, CEO at Amberd