MetroStar Innovation Lab Delivers Secure Edge AI for Government Built on NVIDIA Accelerated Computing

RESTON, VA – Thursday, July 10 – MetroStar, a venture-backed leader in AI-enabled services, redefines how the U.S. government operationalizes artificial intelligence (AI) in secure, connectivity-limited environments. Existing solutions for these environments often depend on cloud access, require server-grade hardware, or lack of security accreditation.

MetroStar’s Innovation Lab addresses these challenges with a hybrid architecture featuring NVIDIA H100 GPUs and RTX A5000 GPUs, enabling secure model training, fine-tuning, and real-time inference in air-gapped, mission-critical environments.

“We’re not just experimenting. We’re executing,” said Ali Reza Manouchehri, CEO and Co-Founder of MetroStar. “Our Innovation Lab delivers AI at the edge in air-gapped networks and across the most secure government environments. By combining H100s for secure fine-tuning with A5000s for efficient inference, we’ve built a repeatable AI deployment model that helps agencies respond to evolving requirements—faster, smarter, and more securely.”

MetroStar’s Edge Advantage: NVIDIA H100 Training + NVIDIA RTX A5000 Inference

In a recent deployment of a Retrieval-Augmented Generation (RAG) solution, MetroStar’s Innovation Lab leveraged NVIDIA H100 GPUs to fine-tune AI models on sensitive datasets in a secure enclave. Once optimized, these models were deployed on RTX A5000 GPUs in an air-gapped, low-power environment with NVIDIA NVLink, enabling real-time inference without cloud connectivity.

NVLink is NVIDIA’s high-bandwidth, low-latency interconnect technology that enables direct GPU-to-GPU communication. In systems equipped with NVIDIA RTX A5000 GPUs, NVLink allows multiple GPUs to work together as if they were a single, larger GPU by providing shared memory access and rapid data transfers between them. This architecture provides a unique balance of modular compute, portability, and mission-aligned performance.

Transforming Secure Government Infrastructure with Hybrid GPU Architecture

MetroStar’s hybrid GPU approach redefines centralized, cloud-based AI infrastructure by enabling a fully air-gapped AI lifecycle built specifically for secure government and critical infrastructure applications.

• NVIDIA H100 GPUs deliver unparalleled compute performance for training and fine-tuning LLMs and computer vision models in high-security enclaves.

• NVIDIA RTX A5000s, enhanced with NVLink, deliver high-throughput, parallelized inference—ideal for secure, edge-deployed infrastructure where power, size, and security are critical.

Together, these GPUs create a secure, modular framework for reliable AI across disconnected or denied environments.

Secure and Scalable AI for Sensitive Government Operations

MetroStar’s RAG solution—deployed across American-controlled networks—exemplifies secure, modular AI in action. Built on open-source frameworks and accelerated by NVIDIA accelerated computing, the solution ensures Controlled Unclassified Information (CUI+) remains within its enclave while enabling real-time reasoning at the edge.

This approach reduces the time it takes to manually look up information, cross-check data, and validate forms, making these tasks significantly faster and easier. MetroStar’s solution streamlines tedious processes, so agencies can focus on strategic initiatives rather than repetitive tasks.

“We are architecting AI solutions that align with the modern needs of secure government environments,” said Vy Truong, CINO at MetroStar. “By integrating NVIDIA accelerated computing across secure training and edge inference workflows, we give agencies the tools to prototype, deploy, and scale AI wherever their missions require—whether in a secure facility, cloud enclave, or other sensitive locations.”

A Blueprint for AI at the Edge

MetroStar’s Innovation Lab is more than a sandbox—it’s an AI engine designed for secure environments. Accelerated by a hybrid architecture of NVIDIA H100 and RTX A5000 GPUs, MetroStar sets the standard for secure, adaptable AI deployment in government and regulated industries.

By maximizing commercially available, export-compliant hardware, MetroStar delivers advanced AI capabilities faster, more securely, and at a fraction of the infrastructure footprint of traditional approaches.

Learn more about MetroStar’s Innovation Lab and the AI-enabled solutions being implemented across agencies: metrostar.com/innovation-lab

About MetroStar

MetroStar is a venture-backed, AI-enabled services company, delivering next-generation solutions to U.S. government agencies. Focused on mission acceleration and cutting-edge technology, MetroStar equips agencies with the tools and strategies needed to navigate the future of national security, including AI, digital transformation, application modernization, and enterprise IT.