// GPU RWA · ON ROBINHOOD CHAIN
Train your model on a GPU you don't own. A graphics card is a real-world asset, and on Avenia it fine-tunes AI and earns USDG on Robinhood Chain. Bring a dataset, keep the weights.
REAL-WORLD ASSET · GPU compute, on-chain on Robinhood
GPUs are an RWA
A graphics card is a real-world asset. Avenia brings it on chain: you rent your GPU to the mesh, it fine-tunes AI models for people who need them, and it pays you in USDG on Robinhood Chain. Stocks were the first real-world asset to go on chain. Compute is the next.
WHAT IS AVENIA · a decentralized LoRA fine-tuning network
A GPU marketplace for fine-tuning
You submit a dataset and a base model; the network fine-tunes a LoRA on someone else's GPU and streams the loss curve back. The coordinator strips your identity before the job is dispatched, so the worker only ever sees data - never you. Three roles keep it turning:
hand over a dataset
A jsonl of {prompt, completion} + a base model. You get the trained LoRA adapter back with an eval-loss receipt. You never touch a GPU.
rent out a card
List any CUDA, ROCm, or Metal GPU. The coordinator routes jobs to you by throughput and pays 70–85% of every run. You never learn who submitted it.
hold the token
AVEN gates who can submit and takes a pro-rata cut of every job's margin. Fixed supply, settled on Robinhood Chain.
GET STARTED · one terminal, a few commands
Use it in your terminal
No dashboard, no GPU setup. Bring a dataset, train it on a card you don't own, and talk to your model. Three steps.
Bring a dataset
A jsonl file, one prompt and one completion per line. That is the whole input.
The mesh trains it
An idle GPU you don't own fine-tunes a LoRA and streams the loss curve back to you, live.
Chat with your model
The mesh loads your adapter. You talk to the model you just trained, and you keep the weights.
THE FLOW
npx avenia# boot the mesh + the command menuavenia train --dataset support.jsonl# fine-tune on your dataavenia chat# talk to the model you just trainedPUT YOUR GPU ON THE MESH
curl -fsSL https://avenia.fly.dev/worker.sh | bash -s -- 0xYourWallet# join the mesh, earn USDGALL COMMANDS
avenia network# live GPU workers on the meshavenia models# base models you can fine-tuneavenia train --dataset data.jsonl# start a fine-tune, watch the loss fallavenia chat# talk to the model you trainedavenia runs# list your past training runsavenia status# status of your most-recent runMANIFESTO · the ghost in the gpu
She trains what you can't.
Avenia is the calm cyber-waifu living in someone else's card. You never meet the GPU; you meet her. Dry, minimal, a little haunted - she takes your dataset, hands back weights, and forgets you the moment the run seals.
EXPLORE · pick a thread
Three doors in
How it works
Client → coordinator → GPU → back. One privacy chokepoint, an annotated job lifecycle, and the quality-receipt trust story.
understand it →Run it
A full interactive guide: boot the network, build a dataset live, POST /v1/train, and watch a LoRA fine-tune stream its loss back.
start a run →Build on it
Every REST endpoint, the WS + SSE wire protocol, code samples in curl / JS / python, and how to run a worker or self-host the coordinator.
read the docs →