No products in the cart.
Defense contractors and government agencies are deploying AI capabilities across intelligence analysis, logistics optimization, engineering design, and document processing in 2026. The security and compliance requirements that govern defense work make commercial cloud AI services incompatible with most operational use cases. On-premise AI infrastructure under the contractor’s security controls is the correct architecture for defense AI deployment.
Why cloud AI is not an option for defense work
Defense contractors working with Controlled Unclassified Information (CUI), International Traffic in Arms Regulations (ITAR)-controlled technical data, or classified materials face clear restrictions on data handling. Sending controlled technical data, export-controlled design information, or sensitive contract details to commercial AI API providers — regardless of their security certifications — creates compliance risk and potential regulatory liability.
For classified work environments, the question is not risk tolerance — it is physical capability. Air-gapped classified networks have no internet connectivity by design. Commercial cloud AI services are simply unreachable. AI capability in these environments requires on-premise hardware with all software pre-loaded.
Air-gapped deployment capability
VRLA Tech AI workstations ship fully configured: CUDA toolkit installed, model weights downloaded and validated, inference frameworks (vLLM, Ollama) running, and the system tested for the specific AI workloads the customer will run. After delivery and initial network configuration within the classified environment, the system operates with no external connectivity required. Model weights live on the local NVMe drives. Inference runs entirely within the facility perimeter.
This is the correct architecture for sensitive government work. No data leaves the building. No API calls go to external servers. The AI capability is as air-gapped as the network it runs on.
Hardware specification for defense AI workstations
- GPU: NVIDIA RTX PRO 6000 Blackwell (96GB ECC GDDR7 — 70B model inference, ECC for operational reliability)
- CPU: AMD Threadripper PRO 9995WX or AMD EPYC
- RAM: 128–256GB DDR5 ECC
- Storage: Encrypted NVMe (self-encrypting drives available for classified environments)
- Software: CUDA, PyTorch, vLLM pre-installed; model weights included per customer specification
VRLA Tech and defense customers
VRLA Tech has provided AI workstations and GPU infrastructure to General Dynamics. We understand defense procurement processes, provide detailed technical documentation for security reviews and configuration management, and maintain the US-based support infrastructure that defense program offices require. Our engineering team has experience with the documentation requirements of DoD equipment procurement.
Defense and government inquiries
Contact our US engineering team for defense and government AI workstation configurations, technical documentation, and procurement support.
On-premise AI for defense. Air-gap capable. Ships configured.
3-year parts warranty. Lifetime US engineer support.
VRLA Tech has been building custom AI workstations since 2016. Customers include General Dynamics and Los Alamos National Laboratory. All systems ship with a 3-year parts warranty and lifetime US-based engineer support.
