A GPU that renders a game session at 7pm can process an AI inference job at 3am.
One machine. Two workload types. Zero idle time wasted.
YOM's network routes the right workload to the right node at the right time.
Operators earn from utilization, not speculation.
That's what useful infrastructure looks like.
The AI industry needs compute at a scale no single company can build fast enough.
Data centers take years to construct. Demand is growing monthly.
DePIN flips the model existing hardware joins the network and starts serving workloads immediately.
No construction. No billion-dollar capex.
The compute is already out there. It just needs a protocol. 🫡
Centralized clouds process everything in a few locations.
That means high latency, high cost, and single points of failure.
Edge compute puts processing closer to where it's needed.
YOM's distributed GPU network already does this across countries.
Gaming workloads today. AI inference on the same rails.
Building a data center costs $10M+ before a single workload runs.
Cooling. Power. Land. Maintenance. Staff.
A decentralized network skips all of that.
Community-operated GPU nodes serve compute on demand no buildout required.
Infrastructure that scales with demand, not with budgets.
AI companies are spending billions to secure GPU capacity.
Waitlists stretch for months. Contracts lock you into one region.
Meanwhile millions of GPUs sit idle in homes and offices worldwide.
The supply exists. It's just not connected.
YOM is changing that.
https://t.co/EvAydwgJQe
Great Web3 educators are rare 🎓
Writers who can turn complex ideas into viral, comprehensive threads are even rarer.
If that’s you, the gateway is open 🫵
Introducing our long-awaited Threads Contest; where educating the space about Aura™ earns you contributor incentives 🎉