Introduction: Rethinking Infrastructure in the Age of Distributed Computing
The infrastructure landscape is undergoing a quiet revolution. What started with centralized data centers evolved into public cloud dominance. But that model—though powerful—is no longer enough. Costs are rising. Flexibility is limited. And as data grows larger, models grow deeper, and latency becomes more critical, the cracks in traditional cloud are showing.
Distributed computing offers a different path—one that leverages global, underutilized infrastructure to store, move, and process data without the bottlenecks of centralization. It’s not just a cost-saving move; it’s a structural shift in how we think about compute, storage, and orchestration.
This series explores that shift, through the lens of three platforms leading the charge:
Together, they form a fully distributed integrated stack capable of powering high-throughput AI pipelines, real-time media workflows, edge-native applications, and more. These writings dive deep into architecture, use cases, technical workflows, and future implications of this model—for those who are ready to rethink how infrastructure should actually work in a world of massive data and intelligent systems.
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1moI have been wondering about this. Certain aspects of storage are becoming tedious, unsustainable, and stagnant. Even with smaller infrastructure models. Without flexibility they become obsolete.