Five ways we help you build on AI.
Each one extends something we already do well — open cloud, mobile core, private networks and senior engineering — so it's capability you can put into production, not a slide.
AI Infrastructure & GPU Cloud
We design, build and operate GPU clusters on OpenStack or OpenShift — with the storage (Ceph), high-throughput networking and MLOps tooling (Kubeflow, Ray, vLLM/Triton) to train and serve models. Own your AI stack instead of renting it by the GPU-hour.
Cloud & Virtualisation →AI-Native Mobile Core — NWDAF & AIOps
Add 3GPP NWDAF network-data analytics to your Open5GS 5G core, and bring ML-driven anomaly detection, capacity forecasting and automated remediation to core and IMS operations — so issues surface before subscribers feel them.
4G / 5G Core →Edge AI over Private 5G
Low-latency private LTE/5G plus edge compute (MEC) for industrial vision, robotics, drones and autonomous systems — the network and the inference infrastructure, designed and delivered as one accountable stack.
Private LTE / 5G →AI & MLOps Talent
Senior MLOps, GPU-platform and AI-infrastructure engineers on contract, permanent or on-demand — the same vetted, senior-only model as our telecom talent, no juniors in a trench coat.
Staffing & Talent →Analytics-Ready Hosted Core — nfvi.io
Our hosted 4G/5G core, instrumented for analytics from day one, so MVNOs and labs can build on live network data without running the platform themselves. Currently in closed beta.
Visit nfvi.io →Not sure where AI fits your network?
Bring your use case to a confidential 30-minute technical call. We'll tell you what's real, what's hype, and what we'd actually build — with honest effort estimates.
Book a technical call →Open infrastructure for the AI era.
GPU cloud, MLOps, analytics-native core and edge AI — built on open platforms, operated under SLA, delivered by senior engineers.