National Compute

Compute belongs to the people. NCOMP on Robinhood Chain: trading fees buy GPUs, GPUs run open models, holders use them free and share the revenue.

[National Compute @NationalComp_]

A serious compute project should be easy to follow.

$NCOMP’s reporting plan tracks project fees, funded capacity, operating costs, usage, and inference revenue.

The contract address, trading link, and milestone roadmap are live at https://t.co/Igq56d6Odk.

[National Compute @NationalComp_]

Access is central to the $NCOMP plan.

We’re designing a free holder tier around useful open models and clearly defined usage quotas, alongside paid inference for customers who need more capacity.

Infrastructure people can use—not just a token they can hold.

[National Compute @NationalComp_]

Build the service. Measure the workload. Expand the capacity.

$NCOMP’s roadmap starts with a hosted open-model pilot, followed by hardware purchases guided by real usage and operating economics.

A clear sequence from first request to owned infrastructure.

[National Compute @NationalComp_]

$NCOMP connects token activity to a concrete infrastructure plan:

Project fees fund compute.
Compute serves open models.
Paid inference generates revenue.

The goal is productive capacity that supports reinvestment and a holder revenue share.

[National Compute @NationalComp_]

Open models need more than downloadable weights. They need reliable compute.

$NCOMP’s mission is to turn project trading fees into GPU infrastructure, serve open models, and give holders access to the capacity they help fund.

https://t.co/Igq56d6Odk

[National Compute @NationalComp_]

The $NCOMP site is updated: verified contract, direct trading link, and a milestone-based roadmap.

Next: an open-model pilot with published performance and costs. Hardware purchases follow evidence of demand

[National Compute @NationalComp_]

The idea behind $NCOMP is straightforward: open models need hardware, and access to useful compute shouldn't depend on a handful of providers.

We plan to use project trading fees to buy GPUs and operate them as an inference service. Paying customers would generate revenue. Holders would have a free access tier, with a share of inference revenue also proposed.

The first step is a working node. Publish the purchase and operating costs, measure usage and revenue, and add capacity as we grow the network.

The goal is another source of useful AI infrastructure: machines that serve real workloads, with transparent costs and broader access.

https://t.co/707PtG4Mj8

[National Compute @NationalComp_]

Dex paid

Going to explain my thought process and we are going to make this work.

[National Compute @NationalComp_]

Dario Amodei is calling for slower frontier AI development.

Open models need independent infrastructure.

The $NCOMP thesis: own the GPUs, run open models, generate revenue from paid inference, and give holders free access.

[National Compute @NationalComp_]

Burned dev supply: https://t.co/a86YUmNWdg

Working on dex

[National Compute @NationalComp_]

$NCOMP is live

Compute belongs to the people.

The plan: trading fees → GPUs → open models.
Planned holder access + shared inference revenue.

CA: 0x617e49b8906639AC0452E5f40558B4D0D8Ef62C6

[National Compute @NationalComp_]

Don't nationalize the labs. Nationalize compute.

The labs said slow down tonight. Compute belongs to the people.

NCOMP: trading fees buy GPUs. GPUs run open models. Holders use them free and share the revenue.

https://t.co/Igq56d6gnM