Data & IP sovereignty
Process data, recipes, and operational know-how are the crown jewels. On-premise keeps every byte inside the fence line — never sent to a third-party cloud.
SOVEREIGN · ON-PREMISE · AIR-GAPPED
Agentic operations that detect, decide, coordinate, and execute on live operations, fully air-gapped, on the infrastructure you already control. No data leaves the fence line.
From an edge node at the asset to a GPU industrial data centre. NVIDIA-accelerated, AMD, or your own silicon. Open models, right-sized to the job.
The move to sovereign, on-premise AI is happening across regulated industries. On the plant floor the reasons are more critical: the data is the crown jewels, the loops are real-time, and operations have to keep running when the link goes down.
Process data, recipes, and operational know-how are the crown jewels. On-premise keeps every byte inside the fence line — never sent to a third-party cloud.
Operational decisions can’t wait for a round trip to a remote region. Local inference closes the detect-to-act loop in real time, next to the asset.
A severed link can’t be allowed to halt operations. The platform keeps running with full autonomy when the site is offline or air-gapped.
The control network should never be exposed to the public internet. With no external system access, there is nothing to breach from the outside.
The enterprise and government sovereign-AI story keeps your data in your data centre and helps analysts decide. Industrial operations need something more: AI that runs on the plant floor and acts on live process, safely and autonomously.
The same Agentic Operations Platform scales to the site and the silicon you have. Start at one asset, scale to the whole operation.
A compact edge node runs local inference next to the equipment. Low latency, intermittent connectivity, real-time response where the data is created.
e.g. AMD Ryzen™ AI local inferenceSite servers run the full agentic loop for a facility. Central governance, local execution, no dependency on an outside network.
Plant server room or private cloudA GPU cluster runs larger models and multi-site operations with zero external access. NVIDIA-accelerated, AMD, or your own silicon.
Open & NeMo-class models, fully offlineA solution architect will help you match connectivity, latency, and governance to the right deployment.
Start the conversation →Everything from live data to governed action runs inside your boundary. Nothing depends on an outside service.
Live OT/IT data ingested from SCADA, historians, sensors, and control systems, on site.
Operational context and physics, so agents reason about the real asset, not just raw tags.
The industrial-grade agentic harness. Runs and governs the models you choose, entirely on-premise.
Cognitive decision teams that detect, decide, and coordinate the next best action.
Execution within defined boundaries, with provenance and an immutable audit trail.
Run the models you choose — open-source, NVIDIA NeMo and Nemotron-class, or small right-sized models — on NVIDIA-accelerated, AMD, or your own hardware.
Sovereign AI shouldn’t tie you to one vendor. XMPro runs on the accelerators you already have and the models you choose to trust.
Runs on
NVIDIA Cloud Validated
XMPro is qualified against NVIDIA’s cloud reference architecture.
Dell Validated Design for Manufacturing Edge
A validated Independent Software Vendor (ISV) for Dell’s Validated Design for Manufacturing Edge.
Model agnostic
Llama, Mistral, Qwen and the open ecosystem.
NVIDIA’s open reasoning models, run on your own hardware.
Purpose-fit models sized to the decision, not the hype.
PROVEN AT THE EDGE
With AMD, we put large language models on local industrial hardware: faster, safer, and cost-predictable. Run industrial AI where your data lives, with no cloud round trip.
8–9×
Faster processing
100%
Data sovereignty
0
Cloud dependencies
Up to 8–9× faster token generation vs a CPU-only setup, on AMD Ryzen™ AI.
Walk through a sovereign, on-premise deployment with a solution architect, or step into the reference architecture.