Client Stories – QumulusAI

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

Scaling AI

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…

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Client Stories - QumulusAI
Complex AI Software Should Be Delivered as a Managed Service

Artificial intelligence software is increasing in complexity. Delivery models typically include traditional licensing or a managed service approach. The structure used to deploy these systems can influence how they operate in production environments. The CEO of Amberd, Mazda Marvasti, believes platforms at this level should be delivered as a managed service rather than under…

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

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…

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Client Stories - QumulusAI
AI Enables Faster Business Decisions, Giving Startups an Edge Over Traditional Companies

Speed in business decisions is becoming a defining competitive factor. Artificial intelligence tools now allow smaller teams to analyze information and act faster than traditional organizations. Established companies face increasing pressure as decision cycles shorten across industries. Mazda Marvasti, CEO of Amberd, says new entrants are already using AI to accelerate business decisions. He…

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Client Stories - QumulusAI
Amberd Delivers Real-Time Business Insights, Cutting Executive Reporting From Weeks to Minutes With ADA

Many organizations struggle to deliver real-time business insights to executives. Traditional workflows require analysts and database teams to extract, prepare, and validate data before it reaches decision makers. That process can stretch across departments and delay critical answers. The CEO of Amberd, Mazda Marvasti, states that the cycle to answer a single business question…

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Client Stories - QumulusAI
No Idle GPUs, No Data Leakage: QumulusAI Maximizes GPU Utilization for Multiple Customers on Shared Infrastructure

Multi-tenant GPU infrastructure is becoming essential as AI deployments scale across customers. Organizations must maximize GPU utilization while maintaining strict data isolation. Idle compute reduces efficiency, yet shared environments can introduce security risks if not designed properly. Optimizing GPU cycles across multiple customers is essential to maintaining performance and cost efficiency. Mazda Marvasti, the…

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Client Stories - QumulusAI
QumulusAI Brings Fixed Monthly Pricing to Unpredictable AI Costs in Private LLM Deployment

Unpredictable AI costs have become a growing concern for organizations running private LLM platforms. Usage-based pricing models can drive significant swings in monthly expenses as adoption increases. Budgeting becomes difficult when infrastructure spending rises with every new user interaction. Mazda Marvasti, CEO of Amberd, says pricing volatility created challenges as his team expanded its…

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Nightingales Summit: Empowering the Next Generation of Nigerian Nurses
Nightingales Summit: Empowering the Next Generation of Nigerian Nurses
April 2, 2026

In this episode of Care Anywhere, host Lea Sims sits down with Nigerian nurse entrepreneur and advocate Obafemi Arowosegbe to discuss leadership, mentorship, and the future of nursing in Africa. While still a nursing student, Obafemi founded the Nightingale Summit, a growing conference designed to empower nursing students and early-career nurses with leadership skills,…

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Oncology
From Denial to Access: Rethinking Oncology Care Through AI, Clinical Trials, and Patient-Centered Innovation
April 1, 2026

The rapid expansion of precision medicine, biologics, and targeted cancer therapies is transforming oncology—but it’s also overwhelming a system not built to keep pace. In the U.S., cancer drugs now account for some of the highest-cost treatments in healthcare, and with that has come a surge in prior authorization requirements and denials. Studies suggest physicians…

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Firefly
Pursuing the Impossible: The New Space Race with Firefly Aerospace Co-Founder Eric Salwan
April 1, 2026

Many companies set out to do something hard. Firefly Aerospace set out to do the impossible. After 10 years and several existential moments, Firefly did what no private company ever had: in 2025, it successfully landed on the Moon. Before Firefly, only countries had ever landed on the Moon—and it took extraordinary national effort…

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internship
Tale of Two Interns: What AI Is Really Doing to Entry-Level Work
March 30, 2026

The narrative around early-career work has become increasingly pessimistic, with headlines pointing to a shrinking pool of entry-level roles, fewer internship opportunities, and AI accelerating both trends. But beneath that narrative, a different tension is emerging—one that’s less about the disappearance of opportunity and more about how it’s being reshaped. Students are using AI…

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Other Client Stories - QumulusAI
Amberd Moves to the Front of the Line With QumulusAI’s GPU Infrastructure
February 18, 2026

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…

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QumulusAI Secures Priority GPU Infrastructure Amid AWS Capacity Constraints on Private LLM Development
February 18, 2026

Developing a private large language model (LLM) on AWS can expose infrastructure constraints, particularly around GPU access. For smaller companies, securing consistent access to high-performance computing often proves difficult when competing with larger cloud customers. Mazda Marvasti, CEO of Amberd, encountered these challenges while scaling his company’s AI platform. Because Amberd operates its own…

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