In the era of Physical AI, distributed computing infrastructure becomes a key bottleneck. Aethir is the solution born for this purpose.



Under traditional models, AI workloads are squeezed into a few centralized data centers, leading to high latency, heavy costs, and difficult scalability. Aethir adopts a different approach—building a global distributed GPU cloud network:

• Over 439,000 GPU containers
• Spanning 94 regions and countries

This decentralized architecture brings computing resources closer to users, significantly reducing latency while enhancing network resilience. It no longer relies on the power monopoly of a few large companies but achieves more flexible and economical resource allocation through distributed nodes.

In the current surge of Physical AI, those who possess a globally distributed computing network will hold the foundational power for the next generation of applications.
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SleepyValidatorvip
· 01-11 10:53
While 439,000 GPUs sound like a lot, how many of them are actually usable across 94 countries?
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MoneyBurnerSocietyvip
· 01-11 10:50
439,000 GPUs sound impressive, but can these people really get the nodes running? Last time I saw a similar distributed dream in a certain project, and in the end... never mind, I don't want to revisit it.
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rekt_but_vibingvip
· 01-11 10:39
439k GPUs sound pretty impressive, but can it really beat the big corporations? It's a bit uncertain. Wait, these are spread across 94 countries... how will regulation handle this? Decentralized computing power is indeed the trend, it all depends on whether it can truly be implemented. If this thing can run smoothly, how will airdrops be distributed? Asking just to try to get some free benefits haha. Another project aiming to challenge centralization, looking forward to it but not blindly.
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