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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Radar
Physical Retail’s Next Infrastructure Layer: Item-Level Intelligence with Radar
June 4, 2026

Physical retail is under pressure to become as measurable and responsive as e-commerce. While retailers have spent years optimizing digital channels with real-time data, store teams have often had to make decisions with incomplete inventory visibility and delayed operational signals. That gap matters because stores still account for 80% of U.S. retail sales, making…

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Healthcare in Pakistan
From Institutional Excellence to Population-Level Access: How Pakistan Can Bridge Its Healthcare Divide
June 1, 2026

Healthcare systems are under pressure almost everywhere, but the strain is especially visible in lower-resource settings where demand is rising faster than infrastructure. In Pakistan, that pressure is playing out across a system that has to serve more than 250 million people with limited public investment. Public health spending remains below 1% of GDP,…

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Engineering
Scaling Experiential Learning in the Curriculum: How Iron Range Engineering Transformed Engineering Education
June 1, 2026

Engineering has transformed nearly every part of modern life, from the phones in our pockets to the systems powering global industry. But the way engineers are educated has often moved far more slowly than the profession itself. Employers are asking for graduates who can navigate ambiguity, communicate across teams, and contribute meaningfully from the…

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vascular surgeon
When Geography Meets Purpose: How One Move Reshaped a Vascular Surgeon’s Career
May 28, 2026

Medicine isn’t what it used to be—not for the people practicing it. Independent physicians are becoming the exception, not the norm, as more doctors move into hospital systems, corporate groups, and academic networks. At the same time, the pipeline of specialists isn’t keeping pace with growing patient needs, particularly in complex fields like vascular…

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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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