While everyone debates GPU shortages and model costs, there’s a silent killer destroying ROI that no one talks about: network provisioning bottlenecks.

Organizations spend millions on bleeding-edge AI hardware, then watch it sit idle for weeks while network engineers manually configure switches for new tenants.

The disconnect is brutal:

→ DevOps teams expect cloud-speed provisioning

→ Network teams are stuck with manual processes

→ Expensive GPUs idle while waiting for connectivity

The real kicker? Most leaders don’t even realize this is happening.

I just published my analysis of how this hidden bottleneck is costing organizations millions and what innovative teams are doing to solve it.
https://www.linkedin.com/pulse/ai-infrastructure-bottleneck-one-talks-jack-poller-r5gxe

Have you experienced the gap between AI ambitions and infrastructure reality? 👇