The Private AI Playbook
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The Private AI Playbook

Most AI infrastructure decisions get made with one side of the spreadsheet. Vendors quote monthly fees. They don't model three years of seat licenses and usage at your actual headcount, the compliance exposure of documents leaving the premises, or the compounding cost of tools that never learn your business.

The other side changes the decision. An owned system reaches break-even against cloud subscriptions in roughly 17 to 33 months -- inside the 3-year window -- and current US tax law often lets the full purchase be expensed in year one. Because one box serves an office's peak concurrency rather than its headcount, the growth that multiplies a per-seat bill leaves the owned cost flat.

This playbook is written for the person who approves the budget: total cost of ownership, own-versus-subscribe frameworks, depreciation, electricity, and staffing -- the evaluation criteria that belong to the buyer, not the vendor. If you are reviewing an AI infrastructure proposal, or building one, start here.

Recent Articles

How AI Hardware Depreciation Works

A $50,000 AI appliance is 5-year MACRS property that Section 179 or permanent bonus depreciation lets most businesses expense in full in year one.

How Long AI Hardware Stays Useful

The fear that an AI appliance goes obsolete in eighteen months has the mechanism backwards: better models keep arriving as software for the same silicon.

Does Private AI Need an IT Department

The objection to on-prem AI is staffing, not price. What a well-built system runs itself, the minutes a week a human spends, and what still needs a plan.

What Electricity Costs to Run Local AI

A DGX Spark tops out at 240 watts. Run it flat out all year and the power bill is about $285. The honest math on what local AI adds to the bill.

Budgeting for Private AI Growth

An honest private AI budget has two numbers: a defined, all-in entry and a growth path that is neither free nor unlimited, planned without surprise invoices.

Calculating ROI on Private AI

ROI on private AI is two columns: cost to own, and return in time, risk, and capability. A worked look at why honest math favors ownership.

How Many Staff One AI Box Supports

An on-premise AI box comfortably serves ten to twenty active users at once. The math, the workload mix, and how the queue keeps peaks soft.

CAPEX Versus OPEX for AI

AI lands on your books two ways: a rented subscription or an owned asset. Why the accounting, not the features, decides the real cost over time.

Popular Articles

Total Cost of Ownership Local AI vs Cloud

Most AI TCO models are built by vendors selling subscriptions. This one is built from the buyer's side, with three years of numbers on both lines.

What Electricity Costs to Run Local AI

A DGX Spark tops out at 240 watts. Run it flat out all year and the power bill is about $285. The honest math on what local AI adds to the bill.

Calculating ROI on Private AI

ROI on private AI is two columns: cost to own, and return in time, risk, and capability. A worked look at why honest math favors ownership.

CAPEX Versus OPEX for AI

AI lands on your books two ways: a rented subscription or an owned asset. Why the accounting, not the features, decides the real cost over time.

Does Private AI Need an IT Department

The objection to on-prem AI is staffing, not price. What a well-built system runs itself, the minutes a week a human spends, and what still needs a plan.

Budgeting for Private AI Growth

An honest private AI budget has two numbers: a defined, all-in entry and a growth path that is neither free nor unlimited, planned without surprise invoices.

How AI Hardware Depreciation Works

A $50,000 AI appliance is 5-year MACRS property that Section 179 or permanent bonus depreciation lets most businesses expense in full in year one.

How Long AI Hardware Stays Useful

The fear that an AI appliance goes obsolete in eighteen months has the mechanism backwards: better models keep arriving as software for the same silicon.

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