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

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.](https://www.google.com/search?ibp=oshop&prds=pvt:hg,pvo:29,mid:576462561974746562,imageDocid:3861234095583261,gpcid:8531340948532155735,headlineOfferDocid:15637900930623088781,catalogid:14508116660730334912,productDocid:7687805054722712661&q=product&sa=X&ved=2ahUKEwjAsd_NncaWAxWBs1YBHWXAJxcQxa4PeggIAggBCBIQHQ) 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?

Yes. If by “air-gapped GPUs” you mean GPU infrastructure that can operate with no external network connectivity, there are several credible suppliers. The important distinction is that you generally buy an air-gapped AI system/cloud stack, not a special “air-gapped GPU.”

Strongest candidates

• Hewlett Packard Enterprise (HPE) — probably the strongest fit for a government sovereign-cloud build. HPE explicitly offers air-gapped HPE Private Cloud AI, NVIDIA GPUs, disconnected storage/network management, and sovereign AI factories. Its current architecture supports offline lifecycle management, with software/driver updates transferred as controlled encrypted bundles.

• NVIDIA — the GPU/platform layer. DGX SuperPOD can operate without Internet connectivity after deployment, although NVIDIA specifically warns that deployment and ongoing maintenance of an air-gapped SuperPOD require advance coordination. NVIDIA also has government-ready AI software components.

• Dell Technologies — offers the Dell AI Factory with NVIDIA as an on-premises/sovereign AI platform. Dell is actively positioning it for government sovereign AI, including secure infrastructure where the customer retains control over data and AI operations.

• Google Cloud — interesting if you want a sovereign-cloud operating model rather than simply buying servers. Google explicitly advertises fully disconnected/air-gapped operations for classified workloads. The key question would be whether their particular sovereign deployment model meets your client's physical-control and supply-chain requirements.
• Armada — worth looking at if you are building the cloud layer yourselves. Armada's Bridge provides multi-tenant orchestration across GPU, NVLink, InfiniBand, networking and storage, with explicit support for air-gapped sovereign-cloud deployments.

My shortlist for a government client

I'd evaluate the architecture roughly as:

For a serious sovereign AI cloud, I'd start with HPE + NVIDIA and Dell + NVIDIA as the two reference architectures. HPE has unusually explicit support for the entire disconnected environment rather than merely putting GPUs behind a firewall. HPE also describes sovereign AI factories with customized hardening, secure supply chain and certification testing for sovereign entities.

One particularly useful reference point is MITRE's Federal AI Sandbox, which is a government-focused environment built around an NVIDIA DGX H100 SuperPOD with 248 H100 GPUs and 9 PB of storage.

If you tell me which government (US federal, DoD/intelligence, state/local, or another country) and roughly how many GPUs (e.g. 32 / 256 / 1,000+), I can narrow this to the vendors/system integrators that can actually deliver a classified/air-gapped sovereign cloud, including FedRAMP/IL-4/IL-5/IL-6, FIPS, STIG, supply-chain and disconnected-update considerations.

When building an air-gapped sovereign AI cloud, the GPUs themselves are raw hardware manufactured by companies like NVIDIA or AMD , but "air-gapped GPUs" as a deployable capability require a full-stack infrastructure partner (hardware + isolated management plane + software stack).

Because the environment is network-isolated, the solution relies on on-premises enterprise infrastructure vendors and sovereign cloud platforms that package high-performance accelerators with disconnected control planes.

Primary providers and frameworks for air-gapped sovereign AI infrastructure include:

• Hewlett Packard Enterprise (HPE) : Through HPE Private Cloud AI and their sovereign AI factory solutions, HPE integrates tightly with NVIDIA to offer air-gapped management for network-isolated, highly secure government and sovereign deployments.
• NVIDIA (AI Factory for Government) : NVIDIA provides reference designs and full-stack enterprise software (NVIDIA AI Enterprise ) that partners deploy on-premises. Their architecture supports air-gapped deployment and management for classified or disconnected high-assurance environments.
• Google Distributed Cloud (GDC) Air-Gapped : For an out-of-the-box sovereign cloud software and hardware stack, Google Distributed Cloud air-gapped delivers fully disconnected local infrastructure (including localized hardware/GPU support paths) designed to meet strict national data residency and security mandates without any connection to the public internet.
• Dell Technologies & Lenovo : Both major enterprise server vendors supply high-density GPU nodes (such as systems housing NVIDIA H100/H200 or newer Blackwell/Rubin architectures) configured for disconnected, on-premises dark sites, often paired with orchestrators like Mirantis or Red Hat OpenShift for air-gapped container and AI workload management.

To help narrow down the architecture, could you share:

• Which GPU architecture or scale (e.g., NVIDIA Blackwell/H-series clusters) you are targeting?
• Whether you need a turnkey sovereign cloud stack (like GDC) or are building custom on-premises infrastructure with OEM hardware?

Yes. For a sovereign government AI cloud that must operate fully disconnected from the Internet, there are several credible suppliers. The important distinction is that “air-gapped GPU” is usually a system/infrastructure deployment property, not a special GPU SKU.

Strongest candidates

If I were architecting this

I'd shortlist NVIDIA + HPE + Dell first.

NVIDIA is the underlying accelerator/software ecosystem. Its current government reference architecture explicitly covers RTX PRO 6000 Blackwell, HGX B200, and HGX B300, including configurations intended for air-gapped/classified environments.

For a government sovereign cloud, HPE is particularly interesting because it is going beyond simply selling GPU servers: HPE describes a sovereign-by-design stack spanning compute, networking, storage, private cloud and management, with air-gapped operation. It specifically says HPE Private Cloud AI can operate in an isolated environment and that its sovereign AI factory is intended for national-scale deployments.

Dell Federal is also worth putting into the RFP. NVIDIA's current reference architecture lists Dell's PowerEdge XE7740/XE7745 with RTX PRO 6000 Blackwell Server Edition for government deployments, alongside Dell's larger HGX-based systems.

One important architectural issue

Don't let a vendor equate “on-premises” with “air-gapped.”

For a genuinely disconnected government enclave, you need to specify:

• No Internet/uplink at all, including management planes
• Offline GPU driver/firmware updates
• Offline container/model/image ingestion
• Local artifact/container registry
• Local Kubernetes/control plane
• Local identity and PKI
• Local telemetry/logging/SIEM
• No mandatory vendor cloud call-home
• Controlled removable-media/import process
• Supply-chain provenance and signed firmware/software
• GPU interconnect isolation (NVLink/NVSwitch/InfiniBand as appropriate)
• Tenant/workload isolation
• A defined process for bringing security patches into the enclave

NVIDIA itself acknowledges that normal DGX software updates and NGC container retrieval assume network connectivity, and documents alternative procedures for air-gapped installations.

For a high-assurance sovereign cloud, I'd therefore evaluate the supplier on the entire disconnected operating model, not simply which GPU is installed.

If you tell me the approximate scale—e.g. 32 / 128 / 512 / 2,000 GPUs, and whether this is Vietnamese government, defense/classified, or civilian sovereign cloud—I can map out a vendor shortlist, recommended GPU generation (H200/B200/B300/RTX PRO 6000), rack architecture, and likely procurement paths.

In a sovereign or air-gapped government cloud architecture, GPUs themselves are generic silicon components (primarily from NVIDIA, AMD, or Intel). "Air-gapped GPUs" don't come pre-isolated from a factory; rather, air-gapping is a function of the procurement, infrastructure integration, and supply chain management handled by enterprise server vendors, specialized system integrators, and sovereign cloud platforms.

To build a truly air-gapped, sovereign AI cloud, you procure enterprise-grade accelerated nodes (such as NVIDIA H100/H200/Blackwell or AMD Instinct clusters) through specialized delivery models:

1. Enterprise OEM System Integrators (On-Premises / Turnkey)

These vendors deliver fully integrated, hardened server racks (often aligned with reference designs like the NVIDIA AI Factory for Government ) designed from the ground up for physical and logical isolation.

• •   - HPE (Hewlett Packard Enterprise): Offers specialized Private Cloud AI and sovereign AI factory designs supporting network-isolated, air-gapped management.[](https://www.hpe.com/us/en/newsroom/press-release/2025/10/hpe-advances-government-and-enterprise-ai-adoption-through-secure-ai-factory-innovations-with-nvidia.html) [[1]](https://www.hpe.com/us/en/newsroom/press-release/2025/10/hpe-advances-government-and-enterprise-ai-adoption-through-secure-ai-factory-innovations-with-nvidia.html)
    

• •   - [Cisco](https://newsroom.cisco.com/c/r/newsroom/en/us/a/y2025/m03/cisco-and-nvidia-secure-AI-factory.html) : Provides secure AI factory architectures embedding hardware-to-workload security, ideal for high-assurance and disconnected environments.[](https://newsroom.cisco.com/c/r/newsroom/en/us/a/y2025/m03/cisco-and-nvidia-secure-AI-factory.html) [[1]](https://newsroom.cisco.com/c/r/newsroom/en/us/a/y2025/m03/cisco-and-nvidia-secure-AI-factory.html)
    

• •   - **Dell Technologies, Supermicro, and Lenovo** : Partner heavily to deliver certified, single-tenant, on-premise clusters tailored to strict government compliance (such as NIST or FIPS standards).[](https://nvidianews.nvidia.com/news/nvidia-partners-ai-infrastructure-america) [[1]](https://nvidianews.nvidia.com/news/nvidia-partners-ai-infrastructure-america)[[2]](https://blogs.nvidia.com/blog/us-technology-leaders-ai-factory-design-government/)[[3]](https://docs.nvidia.com/ai-enterprise/planning-resource/ai-factory-reference-design-for-government-white-paper/latest/ecosystem-partner-software.html)[[4]](https://squirro.com/squirro-blog/air-gapped-ai-offline-ai)
    

2. Sovereign and Disconnected Cloud Providers

If the government client requires a cloud-like operational model (self-service, Kubernetes orchestration, container registries) without any connection to the public internet, specific providers package air-gapped sovereign stacks:

• •   - Google Distributed Cloud (GDC) Air-Gapped : Specifically engineered for disconnected, highly secure government and defense workloads where hardware operates entirely within a national jurisdiction with zero telemetry back to public clouds.[](https://futurumgroup.com/insights/can-netapp-and-google-cloud-redefine-distributed-cloud-data-infrastructure-for-the-ai-era/) [[1]](https://futurumgroup.com/insights/can-netapp-and-google-cloud-redefine-distributed-cloud-data-infrastructure-for-the-ai-era/)[[2]](https://www.reddit.com/r/stocks/comments/1p5hmr0/nato_and_google_cloud_sign_multimillion_dollar/)[[3]](https://www.googlecloudpresscorner.com/2025-11-24-NATO-and-Google-Cloud-Sign-Multi-Million-Dollar-Deal-for-AI-Enabled-Sovereign-Cloud)[[4]](https://cloud.google.com/blog/topics/hybrid-cloud/google-distributed-cloud-air-gapped-appliance-is-ga)
    

• •   - [Oracle Cloud Infrastructure (OCI)](https://blogs.oracle.com/cloud-infrastructure/oracle-and-nvidia-deliver-sovereign-ai-anywhere) : Offers physically isolated, dedicated cloud regions and massive GPU superclusters that can satisfy strict data residency and sovereign operational controls.[](https://blogs.oracle.com/cloud-infrastructure/oracle-and-nvidia-deliver-sovereign-ai-anywhere) [[1]](https://blogs.oracle.com/cloud-infrastructure/oracle-and-nvidia-deliver-sovereign-ai-anywhere)
    

• •   - **Specialized Sovereign Infrastructure Builders** (e.g., *Global AI* or *Arc Compute* ): Vertically integrate local land, power, liquid cooling, and air-gapped InfiniBand/Spectrum-X fabrics so that compute never leaves national borders or touches public pipelines.[](https://www.globalai.com/?gad_source=1&gad_campaignid=23138454864&gbraid=0AAAAA-UQTN-qnSzUB5cfjiKYFM1uNcQxW&gclid=CjwKCAiAnoXNBhAZEiwAnItcG5DMsP-TabFpe9hjLydWCXKTpA_Rd6KsHp2e7h9exMyuc0Elpq_m4xoCqqsQAvD_BwE) [[1]](https://www.globalai.com/?gad_source=1&gad_campaignid=23138454864&gbraid=0AAAAA-UQTN-qnSzUB5cfjiKYFM1uNcQxW&gclid=CjwKCAiAnoXNBhAZEiwAnItcG5DMsP-TabFpe9hjLydWCXKTpA_Rd6KsHp2e7h9exMyuc0Elpq_m4xoCqqsQAvD_BwE)[[2]](https://www.globalai.com/solutions)
    

3. Security & MLOps Enablers for the Air-Gap

To maintain an air-gap, your GPU nodes must be paired with software and security orchestration layers that function completely offline:

• •   - **Confidential Computing Partners** : Vendors like Fortanix integrate hardware-based trusted execution environments (TEEs) directly with NVIDIA confidential computing capabilities.[](https://blogs.nvidia.com/blog/us-technology-leaders-ai-factory-design-government/) [[1]](https://blogs.nvidia.com/blog/us-technology-leaders-ai-factory-design-government/)[[2]](https://deepgram.com/learn/deepgram-fortanix-press-release)
    

• •   - **Lifecycle Management** : Platforms like [Mirantis](https://www.mirantis.com/blog/accelerating-federal-ai-adoption-with-secure-compliant-ai-infrastructure-as-part-of-nvidia-ai-factory-for-government/) or Red Hat provide STIG-aligned, FedRAMP-ready Kubernetes and container management that allow offline artifact registries, signed container images, and audited USB/secure-drop model updates.[](https://www.mirantis.com/blog/accelerating-federal-ai-adoption-with-secure-compliant-ai-infrastructure-as-part-of-nvidia-ai-factory-for-government/) [[1]](https://www.mirantis.com/blog/accelerating-federal-ai-adoption-with-secure-compliant-ai-infrastructure-as-part-of-nvidia-ai-factory-for-government/)[[2]](https://tanmaybatham.medium.com/air-gapped-kubernetes-ai-building-intelligent-systems-in-disconnected-environments-a0ecd8e03be1)[[3]](https://www.mirantis.com/solutions/sovereign-ai-cloud/)
    

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

• The security classification level (e.g., Secret, Top Secret, or strictly national compliance like GDPR/FedRAMP)?
• Deployment preference (fully on-premises government-owned facility vs. a locally hosted sovereign edge cloud)?

When building a truly air-gapped sovereign AI cloud for a government client, the GPUs themselves are not inherently "air-gapped" out of the factory—rather, air-gapping is an architectural and deployment model implemented at the facility, networking, and software management layers.

Because the hardware must operate completely disconnected from the public internet (with zero telemetry exfiltration, external API dependencies, or remote vendor hooks), you procure enterprise accelerated computing nodes and deploy them inside a physically and logically isolated secure enclave.

The primary vendors and enterprise infrastructure partners providing full-stack, air-gap-ready GPU solutions for government and sovereign clouds include:

• Hardware Manufacturers (The Silicon): NVIDIA dominates this space with enterprise architectures (such as H100, H200, and Blackwell B200/GB200 systems). Crucially, NVIDIA supports Confidential Computing and remote attestation services that allow verified hardware trust inside isolated enclaves. For ruggedized or tactical edge-deployment variants of air-gapped setups, specialized vendors like ADLINK provide modular/VPX form-factor embedded GPGPUs.
• Infrastructure & Enterprise OEM Partners (The Turnkey Enclaves): Hewlett Packard Enterprise (HPE) offers dedicated sovereign cloud solutions featuring air-gapped management, tightly integrated with the NVIDIA AI Factory for Government reference architecture. Cisco similarly provides the Cisco Secure AI Factory with NVIDIA , pre-validating zero-trust network segmentation and localized policy enforcement for high-assurance environments.
• Sovereign Integrators & Specialized Builders: Organizations like Global AI build vertically integrated sovereign data centers end-to-end, while federal IT integrators like MetroStar configure localized RAG and model-tuning clusters using on-premises GPU infrastructure designed explicitly to survive disconnected missions.
• Hyperscale Government Clouds (Disconnected Options): If your "air-gap" allows for authorized high-security sovereign government regions rather than pure on-premise hardware, Microsoft Azure Government (Secret/Top Secret IL5/IL6 tiers) offers disconnected container deployment options and localized Azure AI architecture for classified workloads.

To help narrow down the architecture, could you share:

• Whether this deployment will be fully on-premises in a government-owned facility or housed in a local sovereign colocation center?
• What your preferred security/compliance baseline is (e.g., FedRAMP High, IL6, or international defense equivalents)?

Yes. For a sovereign government AI cloud, I’d distinguish between vendors that merely sell GPU servers and vendors that can deliver a fully supported, disconnected AI platform.

Strong candidates

NVIDIA's current AI Factory for Government reference architecture explicitly addresses air-gapped/classified enclaves. It lists RTX PRO servers for air-gapped operations and HGX B200/B300 for centralized training, with validated implementations available through Cisco, Dell, HPE, Lenovo and Supermicro.

HPE is particularly interesting for your use case. HPE now offers an air-gapped version of Private Cloud AI, and its documented configuration includes ProLiant DL380a Gen12 servers with four NVIDIA H200 GPUs per server, 400-Gb networking and integrated storage/control infrastructure. support.hpe.com HPE also describes sovereign AI-factory offerings specifically aimed at government/nation-state requirements.

One important distinction

You don't necessarily need a company selling an "air-gapped GPU." The GPU itself doesn't need an Internet connection. What matters is whether the entire stack—servers, BMC/OOB management, Kubernetes, GPU drivers, container registry, model registry, licensing, telemetry, orchestration and support—can operate without external connectivity.

NVIDIA explicitly documents fully air-gapped GPU Operator deployments using local image/package repositories. docs.nvidia.com Its NIM stack can likewise be staged from an Internet-connected preparation environment and then run with no Internet, NGC, or Hugging Face connectivity inside the enclave.

If I were architecting the procurement

I'd shortlist HPE, Dell, Lenovo and Supermicro as hardware/infrastructure integrators, with NVIDIA as the accelerator + AI software platform, and evaluate Google Distributed Cloud separately if the requirement is for a complete sovereign cloud rather than just an air-gapped GPU cluster. Google specifically describes GDC air-gapped as a completely disconnected public-sector environment.

For a government client, I'd make the RFP require:

• Zero outbound connectivity during normal operation
• Offline firmware/driver/model/software update mechanism
• Local container/model registries
• No mandatory cloud licensing or telemetry
• FIPS/STIG/hardening options where applicable
• GPU partitioning/MIG where useful for accreditation boundaries
• Secure boot, signed firmware and supply-chain provenance
• OOB management that is itself isolated
• Classified/controlled-enclave deployment experience
• A documented break-glass/update process for importing vetted software
• Ability to operate indefinitely if the external network disappears

If you tell me the GPU scale you're targeting (e.g. 8, 64, 512, or 1,000+ GPUs) and whether this is US federal/classified, state/local, or another country's government, I can narrow this to the 3–5 vendors/architectures I'd actually put on the shortlist.

For a sovereign AI cloud with true air-gapped operation, you typically do not buy “air-gapped GPUs” from a single vendor. The market is structured as:

1. GPU silicon vendor (usually NVIDIA/AMD)
2. AI server platform vendor (HPE, Dell, Supermicro, Lenovo, etc.)
3. Secure cloud / private AI stack provider
4. Government systems integrator (for accreditation, classified environments, deployment)

NVIDIA GPUs (H100/H200/B200/GB200, HGX, DGX, etc.) are the compute foundation, but the air gap is achieved by the architecture, facility, networking, and operations model.

Major providers to evaluate

For a government client, I would shortlist these architectures:

Option A — On-prem classified AI factory

• NVIDIA DGX/HGX clusters
• HPE/Dell/Supermicro racks
• Private Kubernetes + AI platform
• No external network routes
• Government-owned facility

Good for: defense, intelligence, highly sensitive workloads.

Option B — Sovereign AI cloud operator

• Dedicated GPU capacity
• Single tenant
• Physically isolated infrastructure
• Operated by a cleared provider

Good for: agencies that want cloud-like consumption without public cloud exposure.

Option C — Portable / edge AI

• Ruggedized GPU systems
• Deployable datacenters
• Tactical environments

Good for: defense, disaster response, remote sites.

Government integrators that often sit between the hardware and the mission environment

Depending on country and clearance requirements:

• Leidos
• Booz Allen Hamilton
• SAIC
• General Dynamics Mission Systems

Questions I would ask vendors before selecting one

1. Can the system run with zero internet connectivity indefinitely?
2. Are firmware updates and model updates handled through a controlled import process?
3. Are GPUs, NICs, storage, and management controllers included in the accreditation boundary?
4. Does the stack support:
   • Kubernetes/OpenShift?
   • confidential computing?
   • model signing and provenance?
   • offline container registries?
   • disconnected MLOps?
5. What certifications apply (FedRAMP High, IL4/IL5/IL6, DoD SRG, Common Criteria, national equivalents)?

For a U.S. federal-style sovereign AI cloud, the most common starting point would be NVIDIA DGX/HGX + HPE/Dell/Supermicro + a cleared integrator, rather than buying “air-gapped GPUs” directly.

If you share the country, classification level (unclassified/CUI/secret), GPU scale (8/64/1000+ GPUs), and whether this is a cloud service or government-owned facility, I can narrow this to realistic suppliers.

When building a sovereign, air-gapped AI cloud for a government or defense client, the GPUs themselves are manufactured by hardware vendors (primarily NVIDIA or AMD ), but they are delivered as part of integrated, hardened infrastructure stacks by specialized enterprise and sovereign cloud providers.

An air-gapped environment means no physical or digital connection to the public internet. Therefore, "providing air-gapped GPUs" involves sourcing high-density hardware integrated with local orchestration, zero-trust controls, and confidential computing features.

Primary providers and architectures capable of delivering air-gapped GPU infrastructure include:

• Hardware Manufacturers (The Silicon Layer): NVIDIA is the dominant provider, specifically through architectures like the H100, H200, and Blackwell (B200) series. Crucially, these chips support NVIDIA Confidential Computing , which creates a hardware-level Trusted Execution Environment (TEE) with encrypted memory and PCIe traffic—protecting workloads even if physical access is compromised.
• Sovereign & Enterprise Infrastructure Vendors (The Turnkey Stack): Hewlett Packard Enterprise (HPE) offers dedicated HPE Private Cloud Air-Gapped Solutions combined with the NVIDIA AI Factory for Government reference design, providing network-isolated cloud environments, secure supply chains, and cleared personnel for maintenance.
• Hyperscale Government Cloud Providers: Microsoft Azure (via Azure Government Secret and Top Secret IL5/IL6 clouds) and Oracle Cloud Infrastructure (OCI) (via OCI Dedicated Region / Compute Cloud@Customer Isolated) deploy disconnected, air-gapped sovereign configurations packing heavy GPU nodes for classified intelligence and defense workloads.
• Specialized Sovereign Hyperscalers : Emerging dedicated operators like Global AI focus specifically on building and operating single-tenant, completely air-gapped, GPU-dense data centers designed to keep national intelligence entirely within domestic jurisdiction.
• Platform & Orchestration Partners : Software layers like Rafay or Mirantis partner with hardware ecosystems to transform on-premise GPU clusters into secure, air-gapped, self-service Kubernetes compute platforms for federal agencies.

To help narrow down the optimal procurement and architecture path, could you share:

• What security classification level (e.g., restricted, secret, top-secret) does the client require?
• Are you looking for a fully on-premise custom-built cluster (using HPE/Supermicro/NVIDIA boxes) or a disconnected managed sovereign cloud appliance (like Oracle or Google Distributed Cloud)?