Archil’s $6.7M Bet Against Cloud Storage’s 20-Year-Old Problem

The current state of cloud storage places an unreasonable burden on developers
In the nearly two decades since Amazon Web Services first introduced EC2, cloud computing has transformed how people build and deploy applications. Yet one fundamental friction point has persisted unchanged: that dreaded dropdown asking "How much storage do you want to attach to this server?" This seemingly simple question represents a deeper architectural problem that forces developers to make premature optimization decisions. Before they've even launched their application, they must predict storage needs, understand IOPS configurations, and plan for data transfer scenarios, all while paying for unused capacity. The Storage Guessing Game The current state of cloud storage places an unreasonable burden on developers. When deploying a 200GB machine learning model to Kubernetes, tea
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Picture of Upasana Banerjee
Upasana Banerjee
Upasana is a Content Strategist with AIM Research. Prior to her role at AIM, she worked as a journalist and social media editor, and holds a strong interest for global politics and international relations. Reach out to her at: upasana.banerjee@analyticsindiamag.com
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