Part 13: Install a Top-Performing LLM for a One-Time 3 Million Won

A one-time 3 million won per company,

the era when you can just "install" a top-performing LLM.

(The 3 million won is the cost of the hardware.)

Most companies still

think of AI as a subscription service.

A monthly cost,

data going outside,

a structure in which performance can't be controlled.

But now the situation has changed.

Now,

a company can pay just once

and the option of installing a top-performing LLM in-house has become realistically possible.

The concept is "installation," not "subscription"

The point of "a one-time 3 million won" is

not the price, but the structure.

• A monthly cost

• Per-user billing

• Call-volume limits

Instead:

• Install once

• Fixed into your internal systems

• Used to fit the company's environment

This isn't SaaS;

it's closer to adopting infrastructure.

Why this became possible

Before:

• Top performance = giant cloud models

• Cost = always rising

• Control = nearly impossible

Now:

• High-performance LLMs can run on-device / on-premise

• Focus only on the areas the company's work needs

• Strip out unnecessary general-purpose features

In other words,

not an "AI that does everything,"

but an "AI that best handles the judgments and records our company needs."

Used this way,

performance stays the same while cost drops sharply.

The change a company actually feels

Once you install it, here's what changes right away.

• No dependence on external APIs

• No worries about data leaks

• Usable even when the network is unstable

• Runs the same on-site, in the office, or on a closed network

And above all:

"You can use this AI without doing the math every month."

That sense of psychological relief is huge.

Companies that have "actually used" a top-performing LLM react in similar ways

• "Why did we wait until now to use this?"

• "I didn't know it could be tailored to our company this well."

• "Now we won't have to worry about AI costs."

This is less an innovation

than the experience of the default changing.

What matters is that this is a starting point

The one-time 3 million won is:

• not a cost for experiments,

• not a cost for a demo,

• and not a marketing price.

It's closer to a ticket for moving AI from an "external service"

to an "in-house system."

Once it's installed:

• it adapts to your work,

• it transforms to fit the field,

• and its uses keep growing.

But there's no additional cost.

To sum up

Companies can now choose.

• Pay every month to use someone else's AI,

• or install once and own your AI.

With a one-time 3 million won,

the era when you can install a top-performing LLM in-house

is already here.

The problem isn't the technology;

it's only that this option isn't yet known.

-MAEUM OS-