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AI & Cloud Infrastructure

Foundations engineered for AI workloads — on cloud, on-prem, on sovereign.
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Reference architectures, cloud migration, and AI platform engineering for organizations that demand 24/7 reliability — including regulated industries where data residency, sovereignty, and certified infrastructure are non-negotiable.

We design AI and cloud infrastructure that survives its architects: layered, documented, testable, and built to evolve with the model stack. We help you choose between public cloud (Azure, AWS, OCI), sovereign Cloud Gov, private GPU clusters, and hybrid — based on regulation, latency, cost, and exit strategy. We stand up the foundations AI actually needs: model serving, vector stores, GPU scheduling, observability, secrets, and Zero-Trust access. Then we migrate, refactor, or rebuild — with measured cutover, dual-run, and rollback plans, and a strong track record on Romanian Cloud Gov.

What you get

Concrete deliverables — no fluff.

AI-ready reference & target architecture design
Cloud and GPU infrastructure assessment, TCO modeling, migration roadmap
Model serving, inference gateways, vector DB & RAG platforms
Kubernetes, containers, GPU scheduling, service mesh, GitOps
Sovereign cloud & Cloud Gov enablement for AI workloads
Disaster recovery, HA, multi-AZ / multi-region for AI services

Outcomes we've already delivered.

Cloud Gov live across four major Romanian institutions

Project: ADR — Cloud Gov

99.95%+ availability on tier-1 platforms we operate

AI workloads moved to production without service interruption

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