AI Orchestrator, NVIDIA x Gcore webinar proto

fig. 02 · The Sovereignty Index computed live inside the deployment wizard (demo data)

The proto scores each configuration on four sovereignty dimensions (data, technical, operational, legal) and recomputes the index live as options change. It is a demonstration piece, not a product: the scores are demo data.

fig. 03 · Wizard step 1: sites, hardware and configuration summary (demo data)

From the catalogue, an open model is deployed in three steps on European infrastructure: choice of sites, GPU hardware and allocation mode, with the summary and sovereignty index in a side column. Vibe-coded with Claude Code in under a day.

fig. 04 · Step 3: NVIDIA Dynamo optimisation and edge routing (demo data)

The architecture vision rests on NVIDIA Dynamo for edge inference: the Scaling step switches on the Dynamo optimisation and the routing through the Orange edge network before launching the deployment.

fig. 05 · AI Grid: token routing to the closest point of presence (demo data)

The AI Grid screen illustrates edge inference: the model runs in European cloud regions and tokens are served from edge points of presence, never leaving the EU. An architecture vision, presented in the context of the global NVIDIA x Gcore webinar of June 2026.

fig. 06 · The monitoring dashboard of the deployed endpoint (demo data)

A monitoring dashboard completes the demonstration: requests, latency, throughput, GPU utilisation, Dynamo KV-cache reuse, cost and carbon footprint. The proto is live at proto-ai-webinar.vercel.app.