FedRAMP, CUI handling rules, and data sovereignty requirements exist because government data demands government-controlled infrastructure. Cloud AI processing creates structural dependency on commercial vendors. On-premises AI restores data sovereignty government agencies require.
Built by John Dougherty, 25-year enterprise security and technology veteran. Every system is personally assembled, burn-tested for 72 hours, and delivered direct.
Air-gapped AI for agencies eliminates the risk of transmitting CUI, law enforcement data, citizen records, and policy-sensitive documents to commercial infrastructure.
Federal agencies face FedRAMP authorization requirements for any cloud service processing government data. The authorization process takes 12-18 months on average and limits agencies to a small pool of pre-authorized cloud AI providers. Even with FedRAMP authorization, the structural reality remains: government data sits on commercial infrastructure operated by private companies and their subprocessors. Government agencies represent one of eleven regulated industries where this structural conflict between cloud AI and data sovereignty is most acute.
Controlled Unclassified Information (CUI) falls under NIST SP 800-171, which establishes 110 security requirements across 14 control families - the same framework that defense contractors must satisfy under DFARS 252.204-7012. Cloud AI processing of CUI requires the cloud provider to meet these requirements and subjects the agency to shared responsibility models that complicate audit responses and incident reporting. For sensitive CUI categories, air-gapped processing may be the only architecture that satisfies handling requirements. Secure AI for law enforcement data, CUI, and investigative records demands this same isolation.
On-premise AI for state government agencies addresses their own data residency laws and citizen privacy requirements. Many states have enacted data localization statutes requiring certain government data to remain within state boundaries. CJIS Security Policy governs criminal justice information. IRS Publication 1075 controls Federal Tax Information. Each framework shares a common requirement: government control over the infrastructure processing government data. Tribal nations exercise parallel data sovereignty principles under OCAP and the CLOUD Act. Government AI without cloud dependency eliminates this architectural conflict entirely.
Air-gapped inference government agencies can trust. "No data leaves your facility" is not marketing language - it is a description of government-controlled network architecture.
Government data never leaves your facility. Prompts travel from workstation to server over your internal network only. No commercial cloud dependency. No vendor data processing.
Physical server with NVIDIA H100 GPUs in your facility, on your network, under your physical security controls. Government-owned hardware processing government data.
Air-gap GPU server federal agencies can deploy with complete network isolation. Models pre-loaded before delivery. Zero external connections. Suitable for CUI environments requiring strict network separation.
The same AI capabilities you want from cloud services, running on hardware that doesn't create compliance exposure.
On-prem AI for document review: analyze policy documents, regulatory submissions, and multi-agency correspondence. Extract key findings, identify inconsistencies, and summarize complex reports without exposing sensitive government data to cloud services.
Run an on-prem LLM for FOIA request processing: assist with document identification, review, and redaction recommendations. Process large document sets locally without exposing sensitive records to cloud APIs.
Local AI for policy analysis: draft policy memoranda, regulatory impact analyses, and interagency communications. Analyze existing policy frameworks and generate structured documentation for decision-makers.
Local AI for citizen services: summarize case files, generate service documentation, and draft citizen correspondence. Process sensitive personal information entirely on government hardware.
Analyze grant applications, budget proposals, and financial reports. Summarize complex fiscal documentation and identify key findings for decision-makers.
Draft after-action reports, incident summaries, and lessons-learned documentation. Process sensitive operational data from exercises and real-world events locally.
NVIDIA H100 government AI infrastructure running open-source models under agency control. A local LLM CUI processing capability with zero cloud transmission. Private AI for public sector agencies under government control.
Best for: Complex policy analysis, multi-document regulatory review, FOIA document processing, long-context report summarization tasks. 284B parameters with mixture-of-experts architecture. Local DeepSeek for government runs quantized on the Summit Base tier.
Best for: General drafting, citizen correspondence, policy memos, interagency communications, budget narratives. Strong general-purpose model that produces clean, structured prose quickly.
Best for: Multilingual document processing for agencies with international operations, foreign language document analysis, multi-language citizen communications.
The cloud requires FedRAMP and transmits government data to commercial infrastructure. The hardware stays on your network.
| Cloud AI | Island Mountain Summit Base | |
|---|---|---|
| Year 1 Cost | $12,000 - $48,000 (20 users) + FedRAMP overhead | $75,000 - $85,000 (one time) |
| Year 3 Cumulative | $36,000 - $144,000 + compliance costs | Electricity only (~$1,200 - $2,400/yr) |
| Year 5 Cumulative | $60,000 - $240,000 + compliance costs | Electricity only |
| Government Data Location | Commercial cloud servers | Your facility. Government-controlled. |
| FedRAMP Required | Yes. 12-18 month process. | No. On-premises hardware. |
| CUI Handling | Shared responsibility with cloud vendor | Your security controls. Your ATO boundary. |
| Per-Token Fees | $15 - $60 per million tokens | None. Unlimited use. |
| Government System Integration | Limited by FedRAMP authorization | Not included. General-purpose AI. |
| Vendor Lock-In | Complete | None. MIT licensed models. |
Knowing the boundaries matters more than knowing the features.
The models are general-purpose large language models. They are not trained on government-specific datasets, regulatory databases, or agency-specific document formats. They are strong at reasoning, analysis, and prose generation - but they are general tools, not government-specific AI.
This is on-premises hardware, not a cloud service. No FedRAMP authorization is needed because no cloud is involved. The hardware operates within your agency's own Authority to Operate (ATO) boundary. This is an advantage, not a limitation.
Island Mountain hardware is not SCIF-rated, not NSA-approved, and not certified for classified information processing. It is suitable for CUI and sensitive-but-unclassified data when deployed within an appropriate security environment. Local AI for classified data requires purpose-built systems - Island Mountain serves the CUI tier, not the classified tier. Classified data requires purpose-built classified processing systems.
After the 30-day included support period, your agency is responsible for OS security updates, model updates, and general system maintenance consistent with NIST hardening guidelines. For air-gapped deployments, updates are applied via physical media.
FedRAMP compatible AI hardware that operates within your agency ATO boundary - no cloud authorization required.
FedRAMP establishes a standardized approach to security assessment, authorization, and continuous monitoring of cloud products and services. The authorization process evaluates cloud providers against NIST SP 800-53 controls. A CUI compliant AI server sidesteps this process entirely - there is no cloud service to authorize. The hardware operates within the agency's existing Authority to Operate (ATO) boundary and is evaluated as part of the agency's own system security plan.
FISMA (Federal Information Security Modernization Act) requires federal agencies to develop, document, and implement information security programs. NIST SP 800-53 provides the control catalog. NIST SP 800-171 governs CUI protection for non-federal systems. The common requirement: agencies must maintain control over information processing infrastructure. On-premises AI satisfies this structurally - the processing happens on government-owned, government-controlled hardware.
Executive Orders on AI in government (EO 14110 and subsequent guidance) emphasize both the adoption of AI capabilities and the protection of government data. OMB memoranda provide implementation guidance that increasingly favors architectures maintaining government control over AI processing of sensitive data. State and local governments face analogous requirements through state data protection statutes and local ordinances governing citizen data handling. Public school districts navigate overlapping FERPA obligations within this same state regulatory structure.
CJIS Security Policy requires criminal justice information to be processed in environments meeting specific security requirements. IRS Publication 1075 mandates safeguards for Federal Tax Information. Both frameworks restrict data processing to controlled environments - making on-premises AI the architecturally simplest path to compliance for agencies handling these data categories.
Disclaimer: This section describes the general regulatory environment regarding AI and government data protection. It is not legal or compliance advice. Consult your agency's CISO, authorizing official, or qualified counsel for guidance specific to your agency's mission, data categories, and authorization boundary.
Power & Installation: All Island Mountain systems require a dedicated 208V/30A power circuit (NEMA L6-30R). This is standard in server rooms and data closets. Most government agencies with an existing server closet already have this infrastructure or can add it for $500-$2,000 through a licensed electrician. The system fits in a standard 4U rack space. Average power draw under typical inference loads is 1.5-2.5 kW.
No. FedRAMP authorization applies to cloud service providers processing government data on shared commercial infrastructure. Island Mountain hardware is not a cloud service - it is physical AI inference hardware that agencies own and operate on-premises. No FedRAMP authorization required because no cloud service is involved. For CUI handling, NIST SP 800-171 provides the security requirements.
Island Mountain hardware supports document review and CUI analysis, FOIA request processing and response drafting, policy analysis and legislative drafting, citizen service documentation, grant and budget analysis, and after-action report generation. The system runs DeepSeek V4-Flash for complex multi-document analysis and Llama 3.1 70B for general drafting tasks.
Cloud AI costs $50 to $200 per user per month ($12,000 to $48,000 per year for 20 users) plus FedRAMP compliance overhead and ATO documentation burden. An Island Mountain Summit Base system costs $75,000 to $85,000 as a one-time purchase with no FedRAMP dependency, no ATO process, and only electricity costs ongoing. Simpler procurement. Simpler compliance.
No. Island Mountain hardware is designed for Controlled Unclassified Information (CUI), sensitive but unclassified (SBU) data, law enforcement sensitive data, and CJIS-governed criminal justice information. It is not SCIF-rated and has not been certified for classified data processing. The system does support complete air-gap operation and can satisfy many CUI handling requirements under NIST SP 800-171.
Island Mountain is a hardware company, not a compliance authority. References to FedRAMP, FISMA, NIST SP 800-171, CUI handling requirements, or related government data protection frameworks on this page reflect factual descriptions of data handling mechanics - not legal, regulatory, or compliance advice. Consult qualified counsel for compliance determinations specific to your organization and jurisdiction.
County government processing 10,000 citizen service requests annually. Resident data stays on county servers. No cloud vendor has access to our constituent information.
Scenario: County GovernmentState agency handling regulatory enforcement across 15 divisions. Policy documents, investigation files, and enforcement actions processed entirely on our hardware. Zero cloud exposure.
Scenario: State Regulatory AgencyFederal civilian office processing CUI daily. Air-gapped deployment within our existing ATO boundary. No FedRAMP dependency, no additional authorization required.
Scenario: Federal Civilian OfficeOne conversation. No sales pitch. Tell us about your agency's AI needs and we will spec the right system.
Or call directly: 1-801-609-1130
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