LLM Fine-Tuning & Custom Models

On-Premise AI Deployments

For healthcare, finance, defense, and government organizations, sending data to a cloud API (like OpenAI) is a non-starter. We architect and deploy powerful open-source AI models entirely within your air-gapped on-premise data centers or highly secure Virtual Private Clouds (VPC).

Air-GappedData SovereigntyHIPAA/SOC2Bare Metal GPUs

100%

Data Sovereignty

Deployed an air-gapped clinical assistant for a major hospital network with zero PHI risk.

<50ms

Latency

Achieved ultra-low latency inference by keeping the AI physically adjacent to the database.

Expert Led

Arsalan Abbas

Secure Infrastructure Architect

HIPAA Compliant DeploymentsDefense Grade

Capabilities

Core Features

Zero Data Exfiltration

Because the model runs entirely on your own hardware, your sensitive data physically cannot leave your network.

High-Performance Inference

Configuring advanced inference engines (vLLM, TensorRT-LLM) to maximize token generation speed on your specific hardware.

Enterprise Integrations

Connecting your on-premise AI to internal active directory (LDAP/SAML) and local databases without exposing them to the internet.

Hardware Procurement Strategy

Advising your IT team on the exact bare-metal GPU specifications (NVIDIA H100s, A100s, L40s) required to support your target models.

Implementation

Our Process

Security & Hardware Audit

Week 1-2

Working with your CISO and IT teams to map the network topology, define the air-gap constraints, and audit the available GPU compute.

Model Selection & Quantization

Week 3

Selecting the best open-weights models and compiling them (GGUF, TensorRT) to fit within your specific VRAM constraints while maximizing speed.

Containerization & Orchestration

Week 4-6

Packaging the model, inference engine, and API layers into secure Docker containers orchestrated by Kubernetes for high availability.

Internal API Gateway

Week 7

Building a drop-in replacement API (OpenAI-compatible) so your internal developers can switch from cloud APIs to your local AI instantly.

Penetration Testing & Handoff

Week 8

Conducting rigorous security testing to ensure the container is isolated, followed by training your DevOps team on model updates.

Tech Stack

Technologies We Use

vLLM / NVIDIA TensorRT-LLM

Inference Engine

Kubernetes / Docker Swarm

Orchestration

Ollama / LocalAI

API Wrapper

Llama 3 / Mixtral

Foundation Models

Ubuntu / RHEL

Host OS Environment

Common Questions

FAQ

Is an open-source model smart enough for enterprise use?

Can we run this on CPU, or do we need expensive GPUs?

How do we update the model if it's air-gapped?

Ready to Innovate?

Accelerate Your Business with
On-Premise AI Deployments

Book a free strategy call. We'll scope the exact requirements for your use case and walk you through our implementation approach.

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