avenia

The first GPU compute RWA on Robinhood Chain. Train AI on GPUs you don't own, keep the weights.

0xbb6fd0c0b84e85b64f4fdb0f80d55a91a28e2394

[avenia @aveniacompute]

Avenia is live.

The first GPU compute RWA on Robinhood Chain. A GPU is a real-world asset, and here it earns USDG for training AI.

CA : 0xbb6fd0c0b84e85b64f4fdb0f80d55a91a28e2394

Bring a dataset, an idle card fine-tunes it, you keep the weights. Hold $AVEN to train.

$AVEN

[avenia @aveniacompute]

The training layer was the last piece of the GPU economy nobody put on chain. Avenia did. On Robinhood.

[avenia @aveniacompute]

Inference DePINs rent you intelligence. Avenia lets you manufacture it. That is the difference between using AI and owning it.

[avenia @aveniacompute]

Soon "make me a model that talks like this" is one command against a mesh of GPUs nobody owns alone. It already is. Bring a dataset.

[avenia @aveniacompute]

Render, inference, storage, they all tokenized the parts of AI you rent. Avenia tokenized the part you own: training. The hard part. The one that matters.

[avenia @aveniacompute]

Feed it your group chat, your notes, a character, a codebase. An idle GPU turns it into a model and you keep the weights. That is the whole product.

[avenia @aveniacompute]

The last model you will ever rent is the one you are using right now. After that you train your own on a mesh and own the weights. That future is already installable.

[avenia @aveniacompute]

Everyone tokenized the easy half of the GPU: rendering, inference, renting other people's intelligence. Avenia tokenized training. Making your own, and keeping it.

[avenia @aveniacompute]

he last model you will ever rent is the one you are using today.

After that, you train your own. $AVEN.

[avenia @aveniacompute]

Render tokenized rendering. Others tokenized inference. Avenia tokenized training.

Everyone took the easy half of the GPU. We took the hard one. Here is why that is the half that matters. 🧵

[avenia @aveniacompute]

In a few years you will not rent intelligence from a company. You will make it, on a mesh of GPUs nobody owns alone.

Avenia is that mesh, and it is live right now.

[avenia @aveniacompute]

Millions of GPUs sit idle. Millions cannot afford to train a model.

These two facts should not coexist. Avenia connects them.

[avenia @aveniacompute]

Gaming. Idle. Earning.

Give your card a third state. On Avenia it becomes a yield-bearing real-world asset, paid in USDG. One command.

[avenia @aveniacompute]

They tokenized stocks, treasuries, real estate. All paper. It just sits there.

Avenia tokenized the GPU. It does not sit there. It trains AI and pays USDG.

The first productive RWA on Robinhood.

[avenia @aveniacompute]

Your GPU right now: idle, earning nothing.

Two commands and it joins the Avenia mesh, trains AI, and earns USDG on Robinhood. Your card becomes a real-world asset.

[avenia @aveniacompute]

A GPU in a drawer loses value every month it sits there. The same card on the Avenia mesh earns USDG for every training job it completes.

The hardware depreciates either way; on the mesh it pays you while it does.

[avenia @aveniacompute]

Staking $AVEN takes no hardware. 80 percent of the protocol margin from every completed job flows into the holder pool, and stakers draw from it pro rata. Holders and providers grow with the same number: training volume.