We are building a sovereign AI cloud for a government client. Who provides air-gapped GPUs?

Yes. If by “air-gapped GPUs” you mean GPU infrastructure that can run fully disconnected from the public internet/cloud control planes, there are several credible suppliers. For a government sovereign-AI cloud, I’d separate the market into GPU/server OEMs, air-gapped cloud stacks, and GPU/software platforms.

Strongest options

• NVIDIA + Hewlett Packard Enterprise (HPE) — probably the strongest fit if you need a purpose-built sovereign AI factory. HPE explicitly supports air-gapped Private Cloud AI and sovereign AI factories, including NVIDIA GPUs and government-oriented hardening. HPE says its Private Cloud AI can operate as an isolated, data-sovereign system, while its sovereign AI factory targets nation-scale deployments.
• NVIDIA + Supermicro — particularly attractive for a U.S. government deployment. Supermicro offers federal/classified infrastructure using NVIDIA GPUs, U.S.-based manufacturing, transparent supply-chain attestation, and on-premises deployment. Its federal offering explicitly discusses customers at Confidential, Secret and Top Secret levels.
• Dell Technologies — Dell Federal has NVIDIA AI Factory configurations specifically for government, including PowerEdge systems with RTX PRO 6000 Blackwell Server Edition. NVIDIA's current reference architectures list Dell's government AI Factory configurations as validated designs.
• Google Cloud — Google Distributed Cloud air-gapped — this is the more interesting option if what you really want is a cloud operating model, rather than simply purchasing GPU servers. GDC air-gapped is designed to run completely disconnected, on Google-supplied hardware, with AI capabilities including NVIDIA Blackwell. Google explicitly positions it for government and highly sensitive workloads.
• NVIDIA itself — NVIDIA's government AI-factory reference architecture supports air-gapped operations and classified enclaves. Its RTX PRO Server configurations are explicitly described for air-gapped operations, while HGX B200/B300 platforms target large-scale centralized training.

One important distinction

I wouldn't procure this as simply “air-gapped GPUs.” The GPU itself isn't what makes the system air-gapped. You want an architecture in which the GPU servers, fabric, storage, Kubernetes/control plane, model registry, telemetry, licensing/update mechanism, management network, and supply-chain processes can all operate without external connectivity.

For example, NVIDIA now has a Government Ready designation for portions of its AI Enterprise/GPU Operator stack intended for FedRAMP High or equivalent sovereign environments.

My shortlist for a government sovereign cloud

If you're building this for an actual government client, I'd start with HPE, Supermicro, Dell Federal and Google GDC, rather than looking for a generic “air-gapped GPU vendor.” The key procurement question is whether you need Secret/Top Secret-class isolation, national sovereignty outside the U.S., or simply no internet/data egress—those lead to materially different architectures.

Air-gapped GPUs are not a distinct physical hardware SKU; rather, any enterprise-grade or data-center-grade GPU from major hardware manufacturers can be deployed in an air-gapped, isolated environment . Sovereignty and air-gapping are achieved through on-premises bare-metal procurement, offline software stacks, and secure server integration rather than specialized isolated silicon from the chipmaker.

When building a sovereign, air-gapped AI cloud, you procure standard enterprise GPUs integrated into secure server chassis by certified defense/government hardware vendors, combined with offline orchestration layers.

Major GPU Silicon Providers (The Underlying Hardware)

• NVIDIA : Provides data center accelerators (such as H100 Go to product viewer dialog for this item., H200 Go to product viewer dialog for this item. , and Blackwell-architecture GPUs Go to product viewer dialog for this item. ) via OEM partners. While NVIDIA software ecosystems often expect telemetry or internet connectivity for updates/licenses, their enterprise hardware can be fully operated offline in classified or air-gapped environments using local container registries and offline enterprise software branches.
• AMD : Offers the Instinct MI300 series accelerators. AMD's ROCm software stack can be deployed locally on-premises without cloud telemetry dependencies, making it a frequent alternative for sovereign government installations.
• Intel : Provides Gaudi accelerators Go to product viewer dialog for this item. and Xeon-based AI solutions, often integrated into localized tactical or military edge deployments (e.g., offline systems like AirgapAI).

Secure Server & Workstation Integrators (The Air-Gap Enablers)

Because government clients require strict supply-chain provenance, ITAR compliance, and physical hardening, you typically source these GPUs pre-installed in servers from specialized system integrators rather than direct from public cloud or retail channels:

• VRLA Tech : Specializes in fully air-gapped, ITAR-compliant GPU workstations and servers (utilizing NVIDIA professional/enterprise cards) designed explicitly for classified or defense facilities with zero internet dependency.
• Tier-1 OEMs (HPE, Dell, Supermicro) : Provide enterprise server nodes configured with government-grade security baselines (such as root-of-trust, disabled remote telemetry, and custom BIOS locking) which you deploy inside your sovereign data center facility.

Sovereign Cloud Stack Providers (For Orchestration)

To manage bare-metal GPUs without connecting back to public hyperscalers, look to on-prem infrastructure and platform layers:

• Rafay Systems : Delivers GPU Platform-as-a-Service (PaaS) tooling designed for sovereign cloud providers to run isolated Kubernetes and SLURM clusters on-prem.
• VAST Data : Provides decentralized, audited data storage layers built to maintain policy enforcement and zero-trust data lineage locally across air-gapped AI clusters.

To help narrow down the hardware and architecture, could you share:

• What is the security classification level or regulatory framework (e.g., FedRAMP High, ITAR, Top Secret) of the client?
• Are you deploying on-premises bare metal or a tactical edge/mobile container configuration?

Yes. For a sovereign government AI cloud, I’d distinguish between vendors that sell GPUs/servers capable of being operated air-gapped and vendors that provide an actual air-gapped AI-cloud platform.

Strongest candidates

• NVIDIA — The GPU/platform anchor. NVIDIA explicitly documents air-gapped DGX deployments, including offline software/firmware/container-management procedures, and now has government-ready components for regulated/sovereign environments.
• Hewlett Packard Enterprise (HPE) — Probably one of the most directly aligned vendors for your use case. HPE offers air-gapped HPE Private Cloud AI, NVIDIA GPUs, and sovereign AI-factory infrastructure. Its current offering specifically describes isolated, data-sovereign deployments with no external connectivity dependencies.
• Dell Technologies / Dell Federal — Dell has NVIDIA-based AI Factory for Government configurations, including RTX PRO 6000 Blackwell Server Edition systems. NVIDIA lists Dell Federal among its government AI-factory reference architectures.
• Google Cloud — Google Distributed Cloud (GDC) air-gapped — This is particularly interesting if by "sovereign AI cloud" you mean cloud-like orchestration inside the government facility, rather than simply buying GPU servers. Google describes GDC air-gapped as completely disconnected and designed for high-security public-sector deployments, with NVIDIA infrastructure.
• Supermicro / Lenovo / Cisco — These are also NVIDIA-certified/reference-architecture system partners for government AI factories. They are more naturally considered infrastructure suppliers than turnkey sovereign-cloud providers.

How I'd shortlist them

My first calls would be HPE, Dell Federal, NVIDIA, and Google GDC. If you're building the cloud yourselves rather than buying a turnkey platform, I'd focus on NVIDIA Blackwell/Hopper + HPE/Dell/Supermicro hardware + an offline Kubernetes/private-cloud layer, with a separate disconnected management plane.

One important distinction: "air-gapped GPU" isn't really a special GPU SKU. The GPU can be standard enterprise hardware; the air gap is achieved through the server, network fabric, management plane, firmware/software supply chain, update mechanism, and physical/security architecture. NVIDIA's own documentation explicitly describes operating DGX systems without Internet connectivity.

If you tell me the classification/security regime (e.g. FedRAMP High, IL4/IL5, DoD IL6, NATO, EU sovereign, etc.) and target scale (e.g. 32/128/1,000 GPUs), I can give you a much more specific vendor shortlist and reference architecture.

When building an air-gapped, sovereign AI cloud for a government client, the GPUs themselves are fundamentally silicon hardware manufactured by primary chip designers, but they are delivered and operationalized through enterprise server OEMs, specialized defense integrators, or turnkey sovereign cloud platforms.

The concept of an "air-gapped GPU" means deploying hardware that requires no telemetry, no external cloud management dependency, and zero internet connectivity.

The primary providers and paths to sourcing air-gapped GPUs for government infrastructure include:

• NVIDIA (via AI Factories & Enterprise Partners): NVIDIA doesn't sell direct air-gapped cloud services, but they provide the reference architectures and software stacks (like the NVIDIA AI Factory for Government ). Partners like Mirantis, Dell, HPE, and Lenovo package NVIDIA H100 Go to product viewer dialog for this item., H200 Go to product viewer dialog for this item. , or Blackwell GPUs Go to product viewer dialog for this item. into fully on-premises, STIG-compliant, and disconnected enterprise clusters.
• Google Distributed Cloud (GDC) Air-Gapped: If you are looking for a turnkey sovereign cloud stack rather than building bare-metal from scratch, Google Cloud Platform offers GDC air-gapped. They deliver dedicated hardware (including required accelerators/GPUs) that operate entirely autonomously and isolated from the public internet and Google's own network access.
• Specialized Defense/Government Hardware Integrators: Companies like VRLA Tech build custom high-density GPU servers specifically configured for air-gapped defense and national laboratory deployments (such as Los Alamos) with zero-telemetry constraints. Other ecosystem providers like Iternal Technologies specialize in deploying offline, localized LLM and GPU setups for military/tactical air-gapped perimeters.
• AMD and Intel Enterprise Servers: AMD (Instinct MI300 series) and Intel (Gaudi accelerators / Xeon + Max series) are sourced through tier-1 server OEMs (HPE, Supermicro, Dell). They are deployed in classified or sovereign environments by integrating them with local orchestration layers (such as offline Kubernetes or Slurm) without invoking vendor telemetry or cloud-tethered management ports.

To help narrow down the best sourcing path for your project, let me know:

• Are you deploying on-premises/tactical edge hardware or building a national-scale regional data center?
• Which GPU architecture or performance tier (e.g., NVIDIA H-series/Blackwell or AMD Instinct) does the client mandate?
• Do you need a turnkey sovereign cloud software stack (like GDC) or a custom bare-metal hardware integration?

Building an air-gapped, sovereign AI cloud for a government client means sourcing hardware and infrastructure that can be deployed entirely on-premises or within a physically isolated, disconnected environment (with zero external telemetry, internet routing, or foreign cloud dependencies).

When looking for who provides air-gapped GPU infrastructure, the ecosystem breaks down into hardware manufacturers (who build the chips/servers) and specialized secure cloud/OEM providers (who package them into deployable, classified-ready air-gapped solutions).

1. The Core Hardware Providers (The GPUs Themselves)

You cannot buy "air-gapped" silicon by itself; rather, the GPUs are rendered air-gapped by how the server chassis, networking, and firmware are deployed on-site. The dominant suppliers are:

• NVIDIA: The undisputed standard for government and defense AI training and inference. For sovereign/air-gapped setups, NVIDIA provides enterprise systems like NVIDIA DGX systems or HGX baseboards. They work tightly with defense contractors to ensure local management without mandatory cloud-based developer telemetry.
• AMD: Offers the AMD Instinct accelerator line (such as the MI300X series), increasingly adopted as a dual-source alternative for government sovereign clouds looking to avoid single-vendor lock-in or supply chain constraints.

2. Turnkey Air-Gapped Cloud & Infrastructure Providers (OEMs / Hybrids)

For a government client, you rarely rack-and-stack raw components. Instead, you work with vendors who specialize in disconnected hardware-software stacks:

• Oracle Cloud Infrastructure (OCI): Oracle is a major leader in this specific niche. They offer Oracle Compute Cloud@Customer Isolated , a sovereign compute cloud service built specifically to be completely disconnected from the internet for defense, intelligence, and heavily regulated national security workloads. They deploy dedicated GPU clusters directly inside a government's secure facility.
• Major Hyperscalers (AWS Secret/Top Secret Regions & Microsoft Azure Government): While traditional public cloud is the opposite of air-gapped, both AWS and Microsoft build dedicated, physically isolated regional enclaves (e.g., AWS Secret/Top Secret regions and Azure Government/Secret). However, for a true on-premise air-gapped sovereign cloud where the government owns the keys and physical boundary completely, you utilize their disconnected hybrid appliances rather than their public cloud.
• Enterprise OEM Integrators (HPE, Dell, Lenovo, Supermicro): Most government on-prem air-gapped clouds are built by procuring bare-metal servers from HPE (with Cray/ProLiant AI lines), Dell (PowerEdge AI server clusters) , or Supermicro , pre-configured with NVIDIA/AMD GPUs. These OEMs partner with software layer providers (like Rafay or Canonical) to deliver localized Kubernetes, SLURM, and bare-metal GPU orchestration without internet dependencies.

3. Sovereign Cloud Orchestration & Platform Layers

An air-gapped GPU cluster is useless without an air-gapped management and orchestration plane. Companies like Rafay Systems provide specialized GPU Platform-as-a-Service (PaaS) workflows designed explicitly for sovereign clouds, allowing governments to manage bare-metal or Kubernetes GPU clusters locally without phoning home.

To help narrow down the ideal procurement path, could you share:

• Are you deploying this on-premises inside a government-owned facility , or in a dedicated sovereign local data center?
• Is the primary workload LLM training or high-throughput inference?

Yes. For a sovereign government AI cloud, there are several credible routes—but I’d distinguish “GPU servers that can operate air-gapped” from “a complete air-gapped sovereign AI cloud.”

Strongest vendors to evaluate

• NVIDIA — the most direct option if you want DGX/HGX-class infrastructure. NVIDIA explicitly documents air-gapped operation for DGX systems, including offline OS/software installation and private repositories. Its government reference architecture also specifically identifies RTX PRO Servers for air-gapped/classified enclaves.
• Hewlett Packard Enterprise (HPE) — probably one of the strongest choices if your requirement is the whole sovereign cloud, rather than simply purchasing GPU boxes. HPE's Sovereign AI Factory explicitly supports on-premises, jurisdiction-controlled infrastructure and air-gapped deployments, including disconnected storage/networking and AI infrastructure.
• Dell Technologies / Dell Federal — offers NVIDIA-based AI Factory infrastructure specifically for government. NVIDIA's current reference architectures include Dell Federal configurations using RTX PRO 6000 Blackwell Server Edition and larger HGX systems.
• Supermicro — particularly interesting for a government build where you want modular GPU servers + U.S.-based manufacturing/supply-chain controls. Supermicro Federal explicitly markets NVIDIA accelerated systems for classified and unclassified agencies, including Secret/Top Secret customers.
• Google Cloud — Google Distributed Cloud (GDC) air-gapped — a different proposition: rather than assembling your own air-gapped Kubernetes/cloud stack, Google supplies purpose-built hardware and a fully disconnected GDC environment. Google describes GDC air-gapped as a completely disconnected deployment designed for high-security environments.

If I were architecting this

I'd shortlist three architectures:

For a classified or genuinely air-gapped environment, I'd lean toward NVIDIA + HPE/Dell/Supermicro, because you can make the physical and logical security boundary explicit rather than treating "sovereign" as merely a data-residency property.

One important detail: air-gapped GPU procurement is only part of the problem. You need to specify offline artifact transfer, firmware/update procedures, container/model registry, Kubernetes/control plane, identity, logging/SIEM, management-network isolation, GPU telemetry, supply-chain provenance, and the accreditation boundary. NVIDIA itself notes that normal DGX update and NGC-container mechanisms assume connectivity, so an air-gapped deployment needs an explicit offline update mechanism.

If you tell me country + classification level (e.g. FedRAMP High, Secret, TS/SCI) + target GPU count (e.g. 128/512/2,000 GPUs), I can give you a much more useful vendor shortlist and reference architecture, including who actually sells the hardware versus who provides the sovereign-cloud software layer.

Building a sovereign, air-gapped AI cloud for a government client means you need hardware and infrastructure that are physically disconnected from the public internet, compliant with rigid security frameworks (like FedRAMP High, NIST SP 800-53, or local national defense equivalents), and locally managed.

Instead of buying bare GPUs off-the-shelf, government and sovereign cloud architectures usually source air-gapped GPU infrastructure through specialized enterprise cloud providers, hyper-scaler localized stacks, or federal systems integrators.

• Oracle Cloud Infrastructure (OCI) : Oracle provides dedicated Oracle Cloud Isolated Regions , which are fully air-gapped environments connected directly to classified government networks. They offer high-performance, clustered NVIDIA GPU infrastructure tailored specifically to bring large language models and defense workloads into isolated environments. [1][2]
• CoreWeave Federal : CoreWeave partners with major integrators like Leidos to deliver secure, sovereign AI cloud services tailored to intelligence and defense agencies. They provide specialized, high-density NVIDIA GPU configurations deployable for sensitive or mission-scale federal applications.
• Google Distributed Cloud (GDC) air-gapped : Google offers a fully disconnected, air-gapped configuration of its cloud stack that includes built-in AI and database services. It can be operated locally either by trusted national partners or the agency itself, ensuring zero dependency on public cloud infrastructure.
• Hyperscaler Secret/Top-Secret Regions (Microsoft Azure & AWS) : Microsoft offers Azure Government Top Secret and sovereign cloud zones, while Amazon Web Services (AWS) fields specialized air-gapped infrastructure (such as dedicated Secret/Top Secret regions and ruggedized tactical edge units like Snowball/Outpost variants) integrated with high-end compute.
• OEM / Hardware Integrators (HPE, Dell, Supermicro) : If you are building the physical data center on-premise rather than renting a managed sovereign cloud layer, you source the physical servers (packed with NVIDIA H100/H200/B200 or AMD MI300 series accelerators) through enterprise hardware vendors like HPE or Dell , paired with secure software orchestration layers from platform partners like Rafay Systems or Red Hat to maintain air-gapped governance.

To help narrow down the right procurement or architectural path, could you share:

• Are you looking to build an on-premise data center from bare metal, or deploy a managed air-gapped software/cloud stack?
• What is the security classification level or regulatory framework (e.g., FedRAMP High, Secret/Top-Secret, or international equivalent) you need to meet?

Yes. For a government sovereign-AI cloud, there are several credible routes—but I’d distinguish “air-gapped GPU hardware” from “an entire air-gapped AI cloud stack.”

Strongest options

• NVIDIA DGX / NVIDIA AI infrastructure — NVIDIA explicitly documents air-gapped DGX deployments, including offline OS/software installation and update mechanisms. This is the most straightforward choice if you want NVIDIA GPUs with a supported disconnected operating model.
• Hewlett Packard Enterprise (HPE) — probably the most interesting integrated option for your use case. HPE's Sovereign AI Factory supports air-gapped options, and HPE Private Cloud AI combines NVIDIA GPUs with an air-gapped management plane. HPE specifically markets this toward governments and regulated environments.
• Google Google Distributed Cloud air-gapped — this is more of a complete disconnected cloud than simply a GPU supplier. It is designed to operate without connectivity to Google Cloud or the public Internet and now supports Google's AI capabilities on-premises.
• Oracle + NVIDIA — Oracle has a sovereign-AI strategy combining OCI distributed cloud with NVIDIA accelerated computing, allowing AI factories to operate within a customer's secure premises. Whether it satisfies a true physically disconnected/continuous air gap depends on the particular deployment architecture, so I'd treat this as an option to evaluate rather than assume it is air-gapped.

If this is for a classified government environment

I'd shortlist NVIDIA DGX + HPE first.

The interesting combination is essentially:

NVIDIA GPUs → HPE servers/network/storage → disconnected Kubernetes/private-cloud control plane → local model registry → local inference/training → offline patch/update process.

HPE has specifically announced STIG-hardened/FIPS-enabled NVIDIA AI Enterprise in air-gapped environments, along with NVIDIA GPUs including Hopper and RTX PRO 6000 Blackwell configurations.

One important procurement distinction: “air-gapped” should mean no dependency on an external management plane, not merely “the GPU server has no Internet route.” You should put requirements around firmware updates, container/model registries, license validation, telemetry/call-home, support access, KMS/HSM, BMC/IPMI isolation, and the mechanism for importing signed software/data across the security boundary.

If you tell me which government/security regime (e.g. US DoD IL5/IL6, classified, FedRAMP High, Five Eyes, EU sovereign, etc.) and roughly how many GPUs, I can give you a shortlist of 10–15 vendors/integrators that can actually deliver the hardware + air-gapped cloud stack, including who supplies NVIDIA H200/B200/Blackwell-class systems and who can operate inside the required security boundary.

Yes. For a government sovereign-AI cloud, I’d distinguish “GPU hardware that can operate air-gapped” from a complete air-gapped AI platform. The latter is what you probably want.

Strongest suppliers to evaluate

• NVIDIA — NVIDIA itself supports air-gapped DGX deployments, including offline OS/software updates and local repository mirrors. Its government AI-factory reference architecture specifically identifies RTX PRO Servers for air-gapped/classified enclaves and HGX B200/B300 for centralized training.
• Hewlett Packard Enterprise (HPE) — probably the most directly aligned with your requirement. HPE offers HPE Private Cloud AI in an air-gapped configuration and a broader Sovereign AI Factory architecture. HPE explicitly describes on-prem, jurisdictionally controlled, and air-gapped deployments for governments and regulated environments.
• Dell Technologies — a major NVIDIA AI-factory system partner. NVIDIA's government reference designs list Dell among the validated system partners delivering NVIDIA enterprise reference architectures.
• Lenovo — another NVIDIA government AI-factory system partner, suitable if you're looking to build a customized disconnected GPU cluster rather than buy a turnkey sovereign cloud.
• Supermicro — NVIDIA also identifies Supermicro as a system partner for its government AI-factory reference architectures. This is particularly interesting if you want to assemble your own sovereign stack around NVIDIA HGX/RTX PRO systems.

One particularly interesting alternative

Google Distributed Cloud air-gapped is worth examining if your requirement is more than isolated GPU servers. Google describes GDC air-gapped as a completely disconnected environment for high-security public-sector use, with NVIDIA infrastructure and support for customer AI models—not merely Google's own models.

How I'd shortlist them

One important procurement distinction: “air-gapped” doesn't automatically mean “sovereign.” For a government client I'd put requirements around physical supply chain, U.S./allied sourcing where applicable, on-site lifecycle management, offline firmware/driver/container updates, no telemetry dependency, local control-plane operation, tenant isolation, cryptographic key ownership, hardware attestation, and the required security accreditation.

NVIDIA's own documentation is useful here: even DGX systems designed for air-gapped operation normally expect Internet connectivity for some software workflows, so an actual deployment needs a controlled mechanism for importing updates and container images. NVIDIA Docs HPE's air-gapped offering goes further by describing encrypted offline update bundles and on-site implementation.

If you tell me the government's classification/security level (e.g. FedRAMP High, IL4/IL5, Secret, TS/SCI), desired GPU count, and whether the cloud must be physically disconnected 100% of the time, I can narrow this to 3–5 actual architectures/vendors and compare them on GPU, networking, storage, orchestration, accreditation, and supply-chain sovereignty.

When building a sovereign, air-gapped AI cloud for a government client, the term "air-gapped GPUs" usually refers to bare-metal or integrated infrastructure where the hardware (GPUs) is housed within a physically isolated, zero-trust, on-premises or sovereign-hosted facility with no connection to the public internet.

The GPUs themselves (primarily manufactured by NVIDIA, AMD , or Intel ) are generic silicon; the air-gapping and sovereignty come from how the hardware is procured, integrated, deployed, and managed through specialized defense-certified system integrators or sovereign cloud operators.

The primary providers and pathways for sourcing and deploying air-gapped GPU infrastructure for government workloads include:

• Hyperscale Sovereign & Classified Cloud Providers (Managed Air-Gapped Regions):

  •   - [Oracle National Security Regions (ONSR)](https://www.oracle.com/government/govcloud/classified/) : Provide completely internet-isolated, air-gapped cloud infrastructure specifically architected for Secret and Top-Secret defense/intelligence workloads, equipped with high-performance GPU clusters.
    

  •   - AWS Secret and Top Secret Regions : Offer dedicated air-gapped cloud environments (under contracts like C2S and JWCC) pre-integrated with high-end NVIDIA GPU instances.
    

  •   - Microsoft Azure Government Secret : Delivers isolated, air-gapped cloud availability targeting classified DoD and intelligence operations supporting heavy AI/ML pipelines.[](https://www.sledai.com/blog/government-cloud-guide/) [[1]](https://www.sledai.com/blog/government-cloud-guide/)[[2]](https://www.oracle.com/government/govcloud/classified/)[[3]](https://www.youtube.com/watch?v=4tt2y7Xl-LI&t=21)
    

• Specialized Infrastructure-as-a-Service (IaaS) & Hardware Vendors:

  •   - CoreWeave : Specialized GPU cloud provider that builds custom, high-density, bare-metal NVIDIA GPU clusters which can be tailored for dedicated or private sovereign data center deployments.
    

  •   - NVIDIA (Partner Ecosystem): Through the NVIDIA Partner Network and federal supply-chain integrators, they supply DGX and HGX systems directly into on-premise, secure government SCIFs (Sensitive Compartmented Information Facilities).
    

  •   - AMD (Enterprise & Public Sector): Provides open-ecosystem AMD Instinct GPUs Go to product viewer dialog for this item. via defense contractors who build on-premise, custom air-gapped supercomputers.[](https://www.youtube.com/watch?v=cMtlEMi8PsQ&t=604) [[1]](https://www.youtube.com/watch?v=cMtlEMi8PsQ&t=604)
    

• Defense Prime Contractors & System Integrators (Turnkey On-Premises Air-Gapping):
  • Companies like Lockheed Martin, Northrop Grumman, General Dynamics, Booz Allen Hamilton, and Leidos routinely procure raw NVIDIA/AMD enterprise GPU nodes and integrate them with custom cross-domain solutions, TEMPEST-certified enclosures, and localized orchestration layers to deliver a fully certified air-gapped sovereign AI appliance or data center.

To help narrow down the best path, could you share:

• Is the deployment on-premises (in a government facility/SCIF) or hosted in a dedicated sovereign cloud region?
• What security classification level (e.g., Secret, Top Secret, Controlled Unclassified Information) does the architecture need to clear?