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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specialty care
A Physician Entrepreneur’s Playbook for Fixing America’s Specialty Care Gap
May 11, 2026

The U.S. healthcare system is facing a quiet but accelerating crisis: a widening gap between where specialists are needed and where they actually practice. In urology alone, there are roughly 1,100 open positions but only about 400 new specialists trained each year—a mismatch that’s only getting worse. As physician burnout rises and more clinicians…

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Engineering
Engineering Education Needs to Be Human-Centered, Purpose-Driven, and Grounded in Real-World Problem Solving
May 11, 2026

Student disengagement, the rapid rise of AI, and shifting workforce expectations are pushing higher education to rethink how it prepares graduates. Engineering programs—long defined by rigor and technical depth—are now under pressure to stay relevant, improve retention, and produce graduates who can actually solve real-world problems, not just theoretical ones. And the numbers back…

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Solo Stove
From Fire Pits to Outdoor Rituals: How Solo Stove Is Building a Lifestyle Brand Through Differentiation and Design
May 8, 2026

The backyard has become more than a place to grill, sit, or pass through on the way back inside. Increasingly, it is being treated as an extension of the home itself: a gathering place, a design statement, and a stage for the small rituals that bring people together. Solo Stove has leaned into that…

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faith
Crafted Journey How To: Aligning Faith, Leadership and Career Purpose Without Losing Sight of What Matters Most
May 5, 2026

Professionals are increasingly questioning whether career success alone can deliver meaning, identity and long-term fulfillment. Coaching has moved beyond productivity hacks into deeper questions of purpose, faith and human flourishing, especially for leaders who want their work to create impact without becoming their entire identity. Research has consistently found a strong business case for…

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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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