Go Back

QumulusAI - Breaking AI’s Biggest Barriers

QumulusAI is a fully integrated AI infrastructure solution, encompassing the entire stack—from high-performance computing clouds to both on- and off-grid data centers powered by natural gas generation. Our scalable, energy-efficient solutions eliminate computational bottlenecks in AI development, ensuring enterprises and innovators have the compute resources they need, when they need them. With QumulusAI, development teams train models faster, deploy smarter, and push the limits of AI innovation.

QumulusAI

Software & Technology

AI Enables Faster Business Decisions, Giving Startups an Edge Over Traditional Companies

MarketScale
February 18, 2026
advanced AI tools
AI capabilities
Amberd
Mazda Marvasti
+more

 

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 explains that startups can move faster by embedding AI into their core workflows. Marvasti warns that traditional organizations must modernize their operations to remain competitive. He says companies that fail to improve speed and efficiency risk losing ground to agile competitors.

Recent Episodes

GPU utilization
View episode

No Idle GPUs, No Data Leakage: Qumulus 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. Mazda Marvasti, CEO of Amberd, says optimizing GPU cycles across multiple customers is essential to maintaining performance…

AI costs
View episode

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…

GPU infrastructure
View episode

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 Mazda Marvasti, CEO of Amberd, says waiting for GPU capacity did not align with his company’s pace. Amberd required guaranteed availability to support…

Launch Your Branded Show Today

Engage your audience with original, industry-specific content.

Book a Demo Talk to an Expert