Architecture of AI Sovereignty
Your Data. Your Models. Your Jurisdiction.
AI Development runs on Nivara OS as a user-space environment that enables engineers to build, test, and deploy models. It is vendor-, cloud-, and model-agnostic.
AI STACK
Six Layers. One AI Stack.
A reference stack for Cloud-Agnostic AI and Sovereign AI Infrastructure.
Each layer isolates change: compute, data, models, orchestration, governance, and application delivery.
Infrastructure Layer
Sovereign hardware abstraction
Kubernetes scheduling, GPU tenancy, and workload isolation. Deploy on-premises, in private or public clouds, and repatriate workloads without refactoring pipelines.
User-space
User-Space for Enterprise AI Development
An isolated build environment inside the AI Operating System. Connect data in place, select models, run evaluations, and deploy governed services via Nivara OS to cloud, on-premises, or hybrid.
Benefits
What User-Space Gives You
These are operational freedoms within the AI Operating System: isolate vendors, keep data local, and keep workflows recoverable. Each capability maps to a layer boundary.
Database Neutrality
No Migration Required.
Connect to Oracle, Snowflake, and PostgreSQL without data movement. Query through governed connectors; keep lineage and access controls.
Model Agnosticism
Swap Models, Keep Code.
Model-agnostic runtime supports AI development without vendor lock-in. Move between proprietary and open models; preserve prompts, tools, and eval suites.
Sovereign Deployment
Your Jurisdiction, Your Rules.
Deploy on-premises, private cloud, or hybrid. Enforce data residency and network boundaries; support sovereign AI deployment.
Durable Orchestration
Workflows That Persist.
LAGI® persists state across retries and restarts. Agents resume from last checkpoint with idempotent actions and human approvals.
Zero-Copy Retrieval
Intelligence Without Extraction.
Zero-copy retrieval runs RAG close to sources. Index locally, query remotely, and avoid duplication drift across environments.
Governance by Design
Compliance as Architecture.
Policy-as-code gates data, tools, and model usage. Supports GDPR compliant AI development with audit evidence and change control.
Outputs
Outputs You Can Ship
01
Reference Architecture Blueprint
Layer boundaries, trust zones, and data flows mapped to your estate. Includes control points for Sovereign AI Infrastructure and the AI Operating System interfaces.
02
Deployment Package
Kubernetes manifests, GPU scheduling policies, and environment profiles for on-premises, private cloud, and hybrid. Supports Cloud-Agnostic AI execution under Nivara OS.
03
Data Connector Map
Connector configs for Oracle, Snowflake, PostgreSQL, and filesystems. Defines zero-copy retrieval paths, indexing scope, and residency controls for GDPR compliant AI development.
04
Model Gateway Integration
Unified API bindings for selected models: chat, tools, embeddings. Enables AI development without vendor lock-in via Model-Agnostic Runtime contracts and versioned endpoints.
05
Orchestration Workflow Pack
LAGI® workflows, agent roles, and human approvals. Durable state, retries, and audit trails for Multi-Agent Orchestration across long-running business processes.
06
Governance Policy Bundle
RAIN policy-as-code, access rules, and evidence logs. Applies GDPR and EU AI Act guardrails at runtime, aligned to your jurisdiction and risk posture.
Map This to Your Stack
Run a structured architecture review: interfaces, data flows, model boundaries, and governance controls. Designed for CTO-to-CTO alignment and implementation planning.