Your intelligence.
Your control.
Neu Nexus Managed Services · Dedicated AI computing
Built around your next move.
Bring your models, data and operating requirements. We shape dedicated compute and managed-service scopes around inference, training and business-system requirements.
Private AI & inference
Dedicated GPU clusters for LLMs, retrieval-augmented generation, fine-tuning and multimodal inference.
Explore ↗Cluster operations
Provisioning, observability, scheduling, patching and incident response under an agreed operating model.
Explore ↗Mirror, backup & recovery
Separate recovery copies, replication and recovery exercises aligned to contracted RPO and RTO.
Explore ↗Sovereign by architecture. Governed in operation.
Physical separation can reduce shared-infrastructure exposure, but it does not by itself guarantee security. Data location, administrator access, key custody, model provenance, tenant isolation and supply-chain controls all matter. Agentic AI and future AGI scenarios require bounded permissions, human approval for consequential actions and tested containment.
| Focus | Engagement scope |
|---|---|
| Enterprise | Private assistants, document intelligence, RAG and secure inference. |
| Research & healthcare | HPC, imaging and research pipelines with project-specific data controls. |
| Industry & manufacturing | Digital twins, vision inspection, robotics and predictive analytics. |
| Public-sector requirements | Residency, access governance and procurement-specific assurance requirements. |
Bring us your deployment brief.
Share your use case, equipment or compute requirements, timeline, location, service levels and procurement budget. We will use these to structure the technical and commercial discussion.