AI agents are being built as if the network is a perfect, low‑latency, lossless abstraction... but it isn’t. And as these systems scale, the real failures won’t come from model quality, but from latency, packet loss, protocol behavior, and the messy reality of distributed systems instead. If we want agents that actually work in production, networking has to become a first‑class design concern again.
The Part of the AI Conversation That's Missing
As of now, the AI world is tightly focused on bigger models, longer context windows, agent frameworks, orchestration layers, and clever prompting. That's perfectly fine, all interesting. But none of those things matter if the network underneath can't reliably deliver data.
AI agents all run across:
Multi-cloud fabrics
