Technical writing on local AI infrastructure, data sovereignty, and what it costs to run AI on your own hardware.
A legal, operational, and strategic framework establishing why on-premise AI infrastructure is the only architecture that satisfies OCAP, HIPAA, the CLOUD Act, and tribal self-determination authority.
Read →Why the Managed Services Provider model mirrors cloud AI subscriptions: recurring fees for tiered access, culpability transfer instead of real service, and data you don't control.
Read →How V4-Flash's mixture-of-experts architecture puts 284 billion parameters on 160GB of VRAM, and what that means for organizations running inference on their own hardware.
Read →Model Rule 1.6, third-party disclosure mechanics, and why your cloud AI provider's terms of service do not preserve privilege.
Read →Memory bandwidth, VRAM capacity, and inference speed explained for the decision-maker who needs to choose between $85K and $400K.
Read →The variables your cloud AI vendor's pricing page omits: compliance overhead, price escalation, vendor lock-in exit costs, and the crossover math.
Read →The admin-side setup guide for the IT person who just received the hardware. User accounts, model access by role, audit logging, and network configuration.
Read →OCAP principles, IHS data frameworks, emergency management operational security, and why sovereign jurisdictions need sovereign infrastructure.
Read →How the CLOUD Act undermines tribal data sovereignty and why OCAP-compliant AI requires on-premise hardware. Ownership, Control, Access, and Possession in the age of AI.
Read →Self-assessment guide for ITAR and DFARS compliance when using AI for defense-related work. CUI handling, CMMC alignment, and air-gapped local AI.
Read →Cloud AI providers can be subpoenaed for prompt logs and conversation history. Analysis of discovery risk for law firms using ChatGPT, Claude, and other cloud AI services.
Read →Complete HIPAA technical safeguard checklist mapping access controls, encryption, audit logging, and transmission security to on-premise AI hardware configuration.
Read →Decision framework comparing on-premise, colocation, and cloud AI deployment for organizations with compliance requirements. Cost, control, latency, and regulatory analysis.
Read →One conversation. No sales pitch. Just straight talk about what local AI hardware can do for your organization.
Or call directly: 1-801-609-1130