Services/On-Premise AI Deployment
Infrastructure

On-Premise AI Deployment

We design and deploy complete AI infrastructure directly on your hardware — bare-metal servers, private cloud, or air-gapped environments. Every model, every pipeline, every byte of inference runs within your security perimeter.

Infrastructure Design & Audit

We start by auditing your existing hardware, network topology, and compliance requirements. From there we design an AI infrastructure that fits — GPU selection, storage architecture, network segmentation, and failover planning.

Containerized Deployment

All components are containerized with Docker and orchestrated via Kubernetes or Docker Compose. This ensures reproducible deployments, easy scaling, and clean rollback procedures.

Air-Gapped & Isolated Environments

For high-security environments, we support fully air-gapped deployments with zero internet connectivity. Models are pre-packaged, dependencies are bundled, and updates are delivered via controlled release packages.

Security & Compliance Hardening

Encryption at rest and in transit, RBAC for all services, audit logging, and integration with your existing identity providers (LDAP, Active Directory, SAML). Aligned with GDPR, HIPAA, ISO 27001, and SOC 2 controls.

Technology Stack

Core tools and frameworks used in on-premise deployments

DockerKubernetesNVIDIA CUDAHelmTerraformAnsibleNVIDIA TritonvLLMOllamaGPU Clusters