Edge Inference Clusters
Scale AI where it matters.
Production-grade inference where machines, sensors and people meet. Secure. Reliable & Fast to deploy.
Benefits
Mission-critical reliability
Design for continuous operation in harsh, regulated environments. High-availability hardware, GPU-aware load balancing and resilient modular DCs keep inference live when it matters most.
Economic and operational value
Right-fit hardware and modular pods cut CAPEX and speed time to deploy. Local inference reduces latency, lowers bandwidth, and creates jobs and vendor opportunities close to demand.
Scale without custom work
Build bilateral trust through digital infrastructure diplomacy. Establishing data embassies with like-minded partners—like Estonia and Monaco have with Luxembourg—enhances long-term security and global cooperation.
ABOUT
“AI that runs reliably where the world runs — secure, local and industrial-grade.”
Edge Inference Clusters bring production-grade AI to operational sites. We combine purpose-built inference nodes with Navon’s modular data centres and software utility stack to deliver secure, metered, and observable inference at the edge.
Clusters are right-fit systems for real workloads. They include CPU and GPU inference nodes, massive memory options for large models, cluster-ready networking, and liquid cooling where required. Each cluster ships with tenant management, metering, health dashboards, and deployment optimisation so partners can plug in quickly.
We design for three outcomes. First, mission uptime and deterministic performance. Second, strong security and post-quantum readiness for distributed systems. Third, repeatable, cloud-native delivery so operators scale from one site to thousands with minimal bespoke work.
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Operational reliability: Design clusters to meet industry SLAs, with N+1 power, Tier III hosting options and real-time monitoring.
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Sovereign security & compliance: Zero-trust by default. End-to-end encryption, immutable logs, treaty-aware deployment and post-quantum readiness.
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Cloud-native delivery: Containerised models, vLLM-ready runtimes, microservices and automated updates. Integrate once, scale everywhere.
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Local value and governance: Host compute close to demand. Clear IP and data rules, revenue share with local operators and fast, modular rollouts.
