๐ญ๐ก๐ ๐๐ ๐๐จ๐จ๐ฆ ๐ก๐๐ฌ ๐ ๐ฉ๐ซ๐จ๐๐ฅ๐๐ฆ ๐ง๐จ๐๐จ๐๐ฒ ๐ญ๐๐ฅ๐ค๐ฌ ๐๐๐จ๐ฎ๐ญ ๐๐ง๐จ๐ฎ๐ ๐ก ๐ป
we keep talking about AI models getting smarter, but thereโs a physical problem underneath all of it:
๐ฐ๐ผ๐บ๐ฝ๐๐๐ฒ
the world is expected to spend around $๐ฒ๐ฑ๐ฌ๐ ๐ผ๐ป ๐๐ ๐ฑ๐ฎ๐๐ฎ ๐ฐ๐ฒ๐ป๐๐ฒ๐ฟ๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฒ, while demand for GPUs and infrastructure keeps climbing
but building more data centers isnโt as simple as throwing more GPUs into a building
โ you need electricity
โ you need cooling
โ you need land
โ you need fiber
โ you need time
and communities are already pushing back
75 data center projects worth roughly $๐ญ๐ฏ๐ฌ๐ were reportedly blocked or delayed in Q1 2026, while New York paused new hyperscale data center construction
AI may be moving at internet speed, but the physical infrastructure powering it canโt scale that quickly
thatโs the infrastructure problem
@YOM_Official is building around
YOM is building a ๐ฑ๐ถ๐๐๐ฟ๐ถ๐ฏ๐๐๐ฒ๐ฑ ๐ฐ๐ผ๐บ๐ฝ๐๐๐ฒ ๐ป๐ฒ๐๐๐ผ๐ฟ๐ธ designed to connect available GPU capacity with applications that need compute
$YOM is the networkโs token and is available on MEXC
but before getting into the solution, thereโs another question worth asking:
๐ฐ๐ก๐๐ญ ๐ข๐ ๐ ๐ก๐ฎ๐ ๐ ๐๐ฆ๐จ๐ฎ๐ง๐ญ ๐จ๐ ๐ญ๐ก๐ ๐๐จ๐ฆ๐ฉ๐ฎ๐ญ๐ ๐ฐ๐ ๐ง๐๐๐ ๐๐ฅ๐ซ๐๐๐๐ฒ ๐๐ฑ๐ข๐ฌ๐ญ๐ฌ?
thatโs what iโll be exploring next