AI is rapidly moving from experimentation to mass usage, and inference demand is exploding across platforms like @BAI_AGI.
But this surge exposes a core issue: centralized compute is starting to strain under global pressure—latency, cost, and scalability limits are becoming unavoidable.
The next phase won’t be about bigger data centers, but smarter distribution of compute itself. A shift toward resilient, decentralized, and edge-aligned infrastructure is becoming the logical path forward.
In the end, the real breakthrough won’t just be better models—it will be a system that keeps them running anywhere, anytime, under any load.