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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.. Mazda Marvasti, CEO of Amberd, says the cycle to answer a single business question can take…

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…

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…

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…