AI hardware for
defense contractors.
Custom AI workstations and GPU servers built for CMMC-aligned, ITAR-controlled, and air-gapped environments. Your classified data never leaves your facility.
AI workstations & GPU servers
for defense environments.
From single-engineer classified workstations to team-shared rack servers for entire programs — every system ships air-gap ready with full hardware documentation.

Threadripper PRO AI Workstation
For individual engineers and analysts in classified or CUI environments. Up to 4 NVIDIA RTX PRO 6000 Blackwell GPUs at full PCIe 5.0 bandwidth. Runs 70B parameter LLMs locally on a single desktop. Air-gap deployable out of the box.

EPYC Multi-GPU Rack Server
For programs requiring shared AI inference infrastructure. Dual AMD EPYC 9005-series with 4–8 RTX PRO 6000 Blackwell GPUs. Serves 50–100+ concurrent users on 70B models within a single air-gapped rack deployment.

AI Training Cluster
For large-scale model training on classified datasets, fine-tuning on CUI data, and enterprise-scale inference. Multi-node EPYC clusters with InfiniBand interconnect and parallel storage. Pre-racked and burn-in certified.
Cloud AI creates compliance risk.
On-premise doesn't.
Defense contractors working with Controlled Unclassified Information, ITAR-controlled technical data, or classified materials cannot send data to commercial AI APIs. On-premise GPU hardware is the only compliant path to AI capability deployment in regulated defense environments.
CMMC 2.0 Compliance
CMMC Level 2 and Level 3 require protecting CUI throughout its lifecycle. On-premise AI hardware keeps CUI processing within your security boundary and simplifies CMMC assessment documentation — no third-party cloud data exposure in your compliance scope.
ITAR & Export Controls
Sending ITAR-controlled technical data to commercial AI services may violate 22 CFR Parts 120–130. VRLA Tech AI workstations process all data locally under your security controls. No data leaves your facility, no export control exposure, no third-party BAA required.
Air-Gapped Deployment
Every VRLA Tech AI workstation and GPU server ships with model weights, CUDA toolkit, vLLM, PyTorch, and all inference frameworks pre-installed. Classified and SCIF environments are standard configurations — zero internet dependency after delivery.
ECC Memory for Mission-Critical AI
Defense AI applications require computation results you can trust. ECC DDR5 system RAM and ECC GDDR7 GPU VRAM protect every inference operation from silent bit-flip errors — a hardware-level guarantee that cloud AI instances don't provide.
Lifetime US-Based Support
The same US engineering team that built your system handles all support for the life of the hardware. No offshore support contractors for critical AI infrastructure. Phone and email direct to engineers — not a helpdesk.
Calculate your cloud vs. on-premise break-even
Most defense teams with consistent AI workloads break even in 4–8 months versus cloud GPU spend.
Built for the requirements
defense programs demand.
Every VRLA Tech defense AI system is built around the security, reliability, and documentation requirements that defense programs and facility security officers require.
Pre-Loaded Software Stack
CUDA, PyTorch, vLLM, Ollama, TensorRT-LLM, Hugging Face Transformers, Docker, and NVIDIA Container Toolkit installed and validated before shipment. Specify model weights and they ship on-system. Zero internet dependency after delivery.
Redundant Power
Rack servers ship with redundant PSUs standard. 8-GPU configurations support dual 3,000W+ input for 24/7 continuous operation under sustained defense AI inference and training workloads.
Institutional Procurement
VRLA Tech accepts purchase orders, wire transfers, and government procurement formats. We provide spec documentation for capital equipment requisitions, security review packages, and GSA-compatible processes.
US Engineer Support — For Life
Direct access to the US engineering team that built your system for the life of the hardware. No offshore support contractors, no call centers, no escalation paths. Phone and email direct to engineers — same day response.
VRLA Tech has built AI workstations and GPU infrastructure for General Dynamics and Los Alamos National Laboratory. We understand defense procurement documentation requirements, ITAR-adjacent configuration review processes, and the support structures that defense programs require. Contact our US engineering team to discuss your program requirements.
Technical & procurement questions, answered
Common questions on CMMC-compliant AI workstations, air-gapped GPU servers, ITAR-controlled environments, and government procurement. More questions? Contact our engineering team.
What GPU is best for defense contractor AI workloads in 2026?
The NVIDIA RTX PRO 6000 Blackwell with 96GB ECC GDDR7 VRAM is the best GPU for defense AI workloads in 2026. It delivers 4,000 AI TOPS for real-time inference, runs 70B parameter LLMs at FP8 on a single GPU, and uses ECC memory throughout — essential for defense and intelligence workloads where silent computation errors are operationally unacceptable. VRLA Tech builds multi-GPU rack servers with 4–8 RTX PRO 6000 GPUs for shared team deployments serving 50–100+ concurrent users.
Do VRLA Tech AI systems support air-gapped deployment in classified environments?
Yes. Every VRLA Tech system ships with the complete software stack pre-installed: CUDA toolkit, PyTorch, vLLM, Ollama, TensorRT-LLM, Hugging Face Transformers, Docker with NVIDIA Container Toolkit, and specified model weights. Systems operate with zero internet dependency after delivery — appropriate for SCIF environments, classified networks, and facilities without commercial internet access. Contact our engineering team to discuss air-gapped deployment requirements for your specific program.
Does VRLA Tech provide configuration documentation for DAAPM and DCSA security reviews?
Yes. VRLA Tech provides complete hardware configuration documentation for every system: component manifests, firmware versions, BIOS configuration, driver manifest, and installed software inventory. This documentation supports DAAPM and DCSA security review processes and facility security officer requirements. Contact our team to discuss specific documentation requirements for your program before finalizing your system configuration.
Can VRLA Tech rack servers handle shared AI inference for a defense engineering team?
Yes. VRLA Tech 4U GPU servers with 4–8 RTX PRO 6000 Blackwell GPUs run shared inference for defense teams using vLLM with Docker container isolation between workloads. A 4-GPU server (384GB combined ECC VRAM) serves 50–100 concurrent users on 70B parameter models. An 8-GPU server (768GB ECC VRAM) scales to hundreds of concurrent users or simultaneous multi-model deployments. SLURM job scheduling is available for programs requiring fair-share resource management.
Where can I buy CMMC-compliant AI workstations for my defense contracting firm?
VRLA Tech builds CMMC-aligned AI workstations and GPU servers for defense contractors at vrlatech.com/ai-hardware-for-defense-contractors/. Systems are hand-assembled in Los Angeles, ship air-gap ready, and include full hardware documentation for CMMC assessments. VRLA Tech has built AI infrastructure for General Dynamics and Los Alamos National Laboratory since 2016. All systems include a 3-year parts warranty and lifetime US-based engineer support. Standard workstations ship in 5–10 business days.
Best GPU workstation for ITAR-controlled defense environments?
The VRLA Tech Threadripper PRO workstation with NVIDIA RTX PRO 6000 Blackwell is best for ITAR-controlled environments. It operates fully air-gapped with no internet dependency, processes all ITAR-controlled technical data on-site under your security controls, and ships with full hardware documentation for ITAR compliance review. 3-year parts warranty, lifetime US engineer support. Built in Los Angeles by VRLA Tech since 2016.
Do you accept government and defense contractor purchase orders?
Yes. VRLA Tech accepts institutional purchase orders, wire transfers, and government procurement formats. We provide official invoicing, hardware specification documentation for capital equipment requisitions, and support GSA-compatible procurement processes. Contact our engineering team with your program requirements, configuration specifications, and procurement vehicle.
What is the lead time for a defense AI workstation from VRLA Tech?
Standard AI workstations ship in 5–10 business days from VRLA Tech. Multi-GPU rack servers and custom configurations ship in 2–4 weeks, including 48–72 hour burn-in testing, full software stack validation, and hardware documentation preparation. For programs with hard delivery deadlines, contact our engineering team early to confirm component availability and confirm build schedule before program commitment.
Defense AI infrastructure guides.
AI for Regulated Industries
Defense, healthcare, national labs — why regulated industries require on-premise AI infrastructure.
GPU ServersCustom GPU Servers — 1U through 4U Rack
Up to 8× RTX PRO 6000 Blackwell. Built for shared team AI inference and training.
Technical GuideRunning vLLM on Your Own Hardware
Production vLLM deployment for on-premise GPU servers — configuration and performance tuning.
CalculatorAI ROI Calculator
Calculate break-even between cloud GPU spend and a VRLA Tech on-premise server.
Tell us your program
requirements.
Workload type, security requirements, procurement vehicle, and timeline. Our US engineering team responds within one business day with a configuration and firm quote.




