Graphiant’s stateless core uses dynamic virtual overlays and real-time, telemetry-driven route resolution to scale AI and sovereign data workloads on your existing infrastructure. It enables on-demand data exchange via stateless extranets with NAT-smart return path symmetry and encrypted data-plane tunnels, reducing operational complexity while keeping state out of the core.
AI workloads and regulated data are tough on legacy networks. Stateful cores, mesh tunnels, and static policies slow everything down and raise risk. Graphiant’s stateless core gives you a cleaner model. You get dynamic virtual overlays, real-time route resolution, and strong isolation without ripping and replacing your infrastructure. The result is a network that scales for AI and protects sensitive data while staying simple to run.
Graphiant explains how a stateless architecture uses data-driven telemetry to resolve routes on the fly. Virtual overlays adapt to traffic patterns, so capacity is used efficiently and performance stays predictable. The design emphasizes security and reliability, and it runs on what you already have. That means faster deployment and less operational overhead.
Enterprises need to connect with partners without exposing internals. The paper shows how Graphiant creates secure, ephemeral extranets for partner access and data sharing. Services instantiate on demand, use service anchor points, and avoid persistent state between sessions. You keep control while accelerating cross-company workflows.
Most data exchange breaks on return traffic. Graphiant addresses this with NAT-aware path symmetry. Security association data set on the forward path determines the exact return path, which improves consistency, reduces latency, and hardens the flow. You get efficiency without giving up control.
If you are building AI platforms, consolidating partner exchange, or tightening control of regulated data, this paper lays out a practical path forward with a stateless core and programmable overlays. Read it to see the architecture, packet flows, and policy model that make it work.
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