Table of Contents
Having been exposed to China's GPU cloud sector, Mark Rydon decided to take on the challenges with centralized GPU clouds, such as Google's Stadia, which struggled to provide low-latency gaming services economically.
Applying a decentralised structure, Aethir allows more accessible cloud services closer to users, which reduces latency and benefits high-demand applications like gaming and AI. Its approach optimizes for latency and scalability, making decentralized GPU clouds more viable and responsive to global demand.
In this episode, Rydon reflects on his journey and explains how Aethir uses a token system to take on giants like AWS and Google Cloud that create inflated prices and long-term contracts that can be financially strenuous for startups.
Rydon also discusses how the challenges in scaling a system that subsidizes and incentivizes network participation beyond traditional models to provide economic benefits to its users.
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