Service
Private & Air-Gapped AI Implementation
NextGridIT deploys and manages dedicated on-premise GPU clusters for enterprises that need the leverage of modern LLMs without third-party data leakage. Engagements can include model selection, air-gapped inference design, retrieval workflows, coding copilots, threat-analysis pipelines, and operational controls for environments where data privacy is non-negotiable.
What this service is for
Best fit for security teams, regulated operators, internal engineering groups, and research programs that want private AI capability inside their own physical boundary.
Typical outcomes
- Operationalize enterprise AI without moving sensitive documents, code, or telemetry to public SaaS
- Create a dedicated inference environment for coding, threat analysis, and research triage
- Give leadership a controlled path to AI adoption that aligns with privacy and security requirements
Common deliverables
- On-premise GPU cluster architecture and deployment plan
- Qwen and Mistral runtime configuration with secure model serving
- Governance, logging, and workflow design for private AI-assisted operations
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Frequently asked questions
Is this just another cloud AI subscription with better prompting?
No. The service is built around dedicated infrastructure, controlled model hosting, and private workflow design so sensitive data stays inside the client environment.
Can these systems be fully air-gapped?
Yes. The architecture can be designed for fully isolated environments where models, prompts, documents, and outputs never traverse third-party infrastructure.