GraphBit’s CPU-efficient AI — what about scaling?

GraphBit’s CPU-efficient design is a really smart approach — making agentic AI more accessible without heavy GPU costs. I’m curious though, how does it handle scaling when moving from smaller prototypes to production workloads? Are there built-in optimizations for parallel tasks or would that require additional infrastructure?