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TECHNICAL OVERVIEW

System Architecture

A high-level view of OnpremAI's architecture designed for CTOs, architects, and technical decision-makers.

HIGH-LEVEL ARCHITECTURE

How OnpremAI Works

Data Sources

Documents, Databases, APIs, Files

AI Engine

Local LLM Processing

Output

Insights, Reports, Answers

COMPONENTS

Core System Components

API Gateway

Secure entry point for all requests. Handles authentication, rate limiting, and request routing.

  • REST & GraphQL support
  • OAuth 2.0 / SAML / LDAP
  • API key management

AI Processing Engine

Core AI inference engine running locally optimized language models.

  • GPU-accelerated inference
  • Model versioning
  • Request queuing

Vector Database

High-performance semantic search for document retrieval and knowledge queries.

  • Local embeddings storage
  • Similarity search
  • Index management

Data Connectors

Pre-built integrations for enterprise data sources and applications.

  • Database connectors
  • File system crawlers
  • API integrations

Security Layer

Comprehensive security controls across all system components.

  • Encryption (AES-256)
  • RBAC enforcement
  • Audit logging

Admin Console

Web-based management interface for configuration and monitoring.

  • User management
  • System monitoring
  • Configuration UI
DEPLOYMENT

Flexible Deployment Options

Choose the deployment model that fits your infrastructure and security requirements.

On-Premise

Deploy on your own physical or virtual servers within your data center.

  • Full hardware control
  • Direct network integration
  • Kubernetes or bare metal
  • GPU server support

Private Cloud

Run in your private cloud environment with VPC isolation.

  • AWS, Azure, GCP compatible
  • VPC network isolation
  • Auto-scaling support
  • Managed Kubernetes

Air-Gapped

Complete network isolation for highest security environments.

  • Zero internet connectivity
  • Offline model updates
  • USB/media deployment
  • Classified environments
AI ENGINES

Flexible AI Model Support

OnpremAI supports multiple AI engines, giving you flexibility in model selection.

Open Source LLMs

Support for leading open-source language models

Commercial Models

Integration with commercial on-premise AI solutions

Fine-Tuned Models

Support for custom fine-tuned models on your data

Embedding Models

Multiple embedding options for semantic search

SCALABILITY

Built to Scale With Your Needs

OnpremAI's modular architecture allows you to scale components independently based on your workload.

Horizontal Scaling

Add more processing nodes to handle increased load.

Modular Components

Scale AI, search, or storage independently.

Load Balancing

Built-in request distribution across nodes.

AI Node 1

AI Node 2

AI Node N

Load Balancer
TECHNICAL DEEP DIVE

Want to Learn More Details?

Our engineering team can provide a detailed technical walkthrough tailored to your infrastructure.

Schedule Technical Review
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