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As we move towards AGI, we are confronted with a problem that stands to alter the course of humanity if left unchecked: the unfair distribution of outcomes that stems from a handful of companies controlling a technology as important as AI. The widening AI wealth gap between the GPU Rich and GPU Poor is tilting the balance heavily in favor of big tech.

In response, we need to increase the accessibility of on-demand compute so that AI companies can claw control away from big tech and produce the innovative outcomes that will ensure AI is developed for the good of humanity. The only way to do this is by leveraging the power of DePINs to create a distributed network of affordable compute resources accessible by all.

Aethir has built this distributed network. It aggregates enterprise-grade GPU chips into a single global network that increases the supply of on-demand cloud compute resources for the AI, gaming, and virtualized compute sectors. Enterprise GPU owners can unlock the potential of their underutilized GPU chips, while end users get access to the affordable on-demand compute resources they need to power their AI training and inferencing workloads, real-time rendering applications, and other virtualized compute operations.

What differentiates Aethir from other cloud compute infrastructure is its ability to scale to meet the demands of rapid AI and cloud gaming growth. Its distributed model is designed to streamline network expansion so that it can deliver the most optimal and affordable compute resources on demand to wherever they are needed. Five key features make this possible:

  • Enterprise-grade compute resources

  • Low latency to support real-time rendering and AI inferencing use cases

  • A distributed model that can scale much faster than its centralized counterpart

  • Superior unit economics that make on-demand compute resources affordable

  • Decentralized ownership that allows resource owners to retain control