TAO News

How to Start Mining on a Bittensor Subnet

A plain-English route into mining - choosing a subnet, registering a slot, and earning your first emissions.

Mining on Bittensor means running a service that competes to be useful on a specific subnet, and getting paid in that subnet’s emissions for doing it well. The mechanics are consistent across subnets even though the tasks differ wildly.

1. Pick a subnet that fits you

Each subnet rewards a different kind of work - inference, training, data, prediction and more. Start by reading its incentive mechanism: the rules that define the task and how miners are scored. The best subnet for you is the one whose task matches your hardware, models and expertise, not simply the one with the biggest emissions.

2. Understand the requirements

Requirements vary enormously. Some subnets need serious GPUs; others reward clever pipelines on modest hardware. Check the subnet’s documentation and community for realistic expectations on hardware, bandwidth and the software stack before you commit.

3. Register a UID

To mine, you register a slot - a UID - on the subnet. Registration costs TAO (the network recycles or burns it), and slots are competitive, so timing and cost matter. This is the point at which many newcomers pause to make sure their setup is ready, because you are paying to claim a place in the competition.

4. Run, get scored, improve

Once registered, you run your miner and validators begin querying and scoring it. Your emissions depend on how your output ranks under Yuma Consensus, so the work does not stop at launch - staying near the top means iterating on quality and reliability.

A note on expectations

Mining is genuinely competitive and the numbers change constantly, so treat any fixed figures you read elsewhere with caution and rely on the subnet’s own current documentation. Start small, measure your real returns against your costs, and scale only once a subnet is clearly working for you. Done well, mining is the most direct way to earn on Bittensor - but it rewards preparation, not haste.

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