Your onramp into Bittensor
Who owns the AI
you use every day?
Right now, a few companies. On Bittensor, it could be you. A decentralized network where the people who fund AI also own it.
How it works
A blockchain where the mining output is actual AI.
Mining that does something
Bittensor miners train models, run inference, and solve real problems. The compute goes to AI, not wasted on hash puzzles.
No single point of control
Thousands of miners and validators run across a global network. Anyone can join. Nobody owns it.
Stake on what you believe in
Each subnet is a different AI project. Put your TAO behind the ones you think will win and earn rewards when they do.
Go deeper
Staking is only the beginning. You can also contribute directly.
Root funds
Stake to a root validator and compare its fund’s share price against the network index.
Browse funds →Mine
Run AI workloads on a subnet and earn TAO emissions for the compute you contribute.
Start mining →Launch a subnet
Define an AI task, write the incentive mechanism, and let miners compete on it.
Build a subnet →Validate
Score miner outputs, set weights on a subnet, and earn emissions for honest evaluation.
Learn to validate →Ready to get started?
Frequently asked questions
The basics of Bittensor, TAO, and how the network turns compute into intelligence.
01What is Bittensor?
Bittensor is a decentralized network where miners produce AI models and services. Validators evaluate their output, and the network rewards contributors through its incentive system. Participants can contribute as miners, validators, subnet creators, or stakers. Bittensor fundamentals →
02What is TAO?
TAO is Bittensor’s native token, used for staking and transactions on the network. On non-root subnets, staking exchanges TAO for that subnet’s alpha token. The value of alpha relative to TAO can change. TAO and alpha tokens →
03What is a Bittensor subnet?
A subnet is a specialized network within Bittensor. Each defines a task, an incentive mechanism, and how validators evaluate miners’ work. Subnets can focus on services such as text generation, data collection, or computing. How subnets work →