[Neuronets]

Launch Your AI Project Without Infrastructure Costs

Deploy your project on a decentralized AI network and earn AET. The network provides the compute, you build the product.

Network in production • Participation by invitation

What neuronets are

Neuronets are the decentralized AI networks that AETRON is built from. Each neuronet runs as an independent AI marketplace tuned to one job: LLM inference, model training, image and video processing.

Each neuronet has three roles. The owner creates the neuronet and sets the rules. Miners serve requests and check each other through peer-replay. Stakers delegate AET into the neuronet - their stake both sets the throughput and acts as a vote on the service's usefulness. AI startups get to operate without owning infrastructure, while miners and stakers earn AET for real contribution.

Structure: Miners, stakers, and the neuronet owner - three roles with no cap on participants
Governance: Emissions are distributed by miners' confirmed work
Rewards: All three roles receive a share of the AET emission for their contribution

Unlimited
No cap on miners or stakers
Network Architecture
Adaptive
Scalability
Active
Network Status
AET
Token
Staking Token

Neuronet Capabilities

A separate neuronet is built for each scenario. A few examples:

LLM inference

Serving language models with verifiable output

Chatbots, assistants, text generation and analysis, AI agents

Training and fine-tuning

Distributed model training with bit-exact step-by-step replay

Pre-training from scratch, fine-tuning, RLHF, dataset preparation

Content generation

Diffusion and flow-matching models for images and video

Stable Diffusion, FLUX, SDXL, Sora- and Wan-class video generators

Audio workloads

Recognition, synthesis, and transformation of speech and sound

Whisper for STT, TTS, voice conversion, music generation

Embeddings and computer vision

Vector embeddings and CV tasks with bit-exact reproducibility on CNNs

CLIP, DINOv2, ResNet, ViT, embeddings for search and recommendations

Private inference

Optional Confidential Computing mode with TEE attestation for sensitive data

Healthcare models, financial analytics, enterprise assistants

Monetization for Neuronet Creators

A startup doesn't pay for compute for its own AI product: that work is done by the network's participants, while the startup earns AET through the emission.

AET Emission Share

Passive income from participation

The neuronet owner receives a fixed 10% of the neuronet's emission, independent of any outside sales

API Access to the Network

Monetization without infrastructure costs

Run an AI service on top of the neuronet and sell access to it in fiat or crypto, while the miners do the actual compute

Power Rental

Flexible business model

Rent out the neuronet's capacity to outside customers for their inference or model training

Why Choose AETRON

Zero Infrastructure Costs

No own GPUs or servers needed - the resources are provided by the network's miners.

AET

Earn Tokens

For every confirmed contribution to the network, the owner receives their share of the AET emission.

The network is operational

Miners are already live on the network. Create a neuronet and connect them to your task.

How Neuronet Economy Works

Emissions are distributed by confirmed work. Inside each neuronet the share is split between three roles:

Neuronet owner
Rewards: 10% of the neuronet's emission for creating and maintaining it

Creates the neuronet, defines task parameters, and grows the downstream product

Stakers
Rewards: A share of the emission for backing the neuronet with their stake

Delegate AET into a neuronet: the stake sets the throughput and acts as a vote on the service's usefulness

Miners
Rewards: 80% of the emission for serving requests and cross-checking each other

Serve requests on their GPUs and verify each other through peer-replay

Use Cases

A few typical scenarios for AI startups

LLM Services

Chatbots, assistants, text generation

Example: A ChatGPT-class service without your own server fleet

Content Generation

Images, video, audio

Example: An image or video generator at the level of MidJourney or Sora

AI Agents and Automation

Autonomous agents for business processes

Example: Autonomous assistants that run tasks inside enterprise systems

Model Training and Fine-tuning

Retraining for specific tasks

Example: Adapting open models to a customer's industry-specific data

Technical Architecture

Quality metrics

A miner is scored on confirmed work, the Pulse benchmark result, uptime, and the share of re-checks they passed.

Network stability

Stake defines a neuronet's capacity, so in-demand neuronets attract more compute through the market itself. New miners enter at a reduced reputation weight and raise it by passing checks.

How to Launch Your Neuronet

Six steps from an empty wallet to a working neuronet. There are two ways to get there:

AETRON builder

Assemble the neuronet in a visual wizard: pick a model from the registry, the task type, the allowed hardware, and the economic parameters. No code required. The right path if your technical skills are light or you just want to ship fast.

Your own code

Define the task, the re-check rules, and the routing logic yourself. Full control over every step - for teams that need non-standard economics or specific models.

01

Setup AETRON Wallet

Download the AETRON wallet client. Network fees and neuronet registration on the chain both go through it.

Requirements: Wallet client, secure your keys
02

Register Your Neuronet

Register the neuronet on the AETRON chain by staking AET to activate it. Set the specialization and the task parameters. The neuronet owner receives 10% of its emission.

Requirements: AET for the activation stake, neuronet configuration
03

Choose the model

Pick a model from the AETRON registry (LLM, diffusion, audio, computer vision) or import your own from Hugging Face. Miners connect to the neuronet through the single AETRON client and download the weights automatically - there is no separate miner software to write.

Requirements: A model from the registry, Hugging Face, or your own
04

Configure the re-check rules

In the builder, you just pick a ready-made profile (standard, strict, custom). If you go the code route, you describe yourself which signals are compared in peer-replay, what variance is allowed, and how the miner's final score is computed.

Requirements: A ready-made builder profile, or your own spec
05

Deploy Your AI Model

Describe how requests are distributed across miners, what SLA you require, and the rules for splitting the emission inside the neuronet. In the builder this is a set of sliders; in code, a separate config.

Requirements: AI model, SDK/API integration
06

Launch & Earn

Once miners running the AETRON client connect to the neuronet and stakers provide the throughput, start sending requests. Miners serve them, and the owner earns their share of the emission from a live downstream service.

Requirements: Active participants, monitoring

Important Details

You Define the Rules

Whether you use the builder or your own code, you still decide which tasks miners perform and which signals they use to check each other. Quality metrics, re-check thresholds, and the logic for splitting emissions are all tuned to your specific AI scenario.

Flexible Miner Architecture

A miner can be the owner of a single GPU or an entire data center bundled into one node. Large providers run clusters that look like a single miner to the network; smaller participants connect alongside them. Together they make up a living compute market.

CTA Background Pattern

Create your own neuronet

The network is live in production, with participation by invitation. Get in touch to deploy your AI product on AETRON and earn AET without running your own server fleet.