Subnets
12 articles in this topic.
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Alpha Tokens
How Bittensor uses subnet-specific alpha tokens in emissions, staking, and subnet liquidity pools.
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Subnet 1: Apex
Apex is Bittensor's first subnet, operated by Macrocosmos, running open competitions where miners submit Python algorithms that validators continuously benchmark for rewards.
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Subnet 2: DSperse
DSperse is Bittensor's Proof-of-Inference subnet, operated by Inference Labs, where miners generate zero-knowledge proofs of AI model outputs that validators cryptographically verify.
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Subnet 4: Targon
Targon is a decentralized confidential compute marketplace on Bittensor, where miners provide hardware-attested GPU and CPU workloads secured by Confidential Computing technology.
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Subnet 5: Hone
Hone is a Bittensor subnet operated by Manifold where miners compete to solve ARC-AGI-2 abstract reasoning problems; solutions run in a secure GPU sandbox and are scored by exact-match accuracy.
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Subnet 6: Numinous
Numinous is a Bittensor forecasting protocol that pits miners' Python agents against real-world prediction events, scoring them by Brier Score inside isolated Docker sandboxes.
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Subnet 7: Allways
Allways is a Bittensor subnet enabling trustless native asset swaps across independent blockchains, using a collateral-and-slashing smart contract to coordinate miners as market makers and validators as independent verifiers.
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Subnet 8: Vanta
Vanta is a Bittensor subnet that runs a decentralized trading competition, scoring miners on the verified risk-adjusted performance of their directional signals across forex, crypto, and equities markets.
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Subnet 9: iota
iota is a Bittensor subnet that incentivizes permissionless, pipeline-parallel pretraining of large language models by rewarding miners for the volume of valid activation work they contribute to a shared training run.
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Subnet Creation and Incentive Mechanisms
How subnet creators define tasks and incentive mechanisms that guide validator evaluations and miner rewards on Bittensor.
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Subnet Hyperparameters
How Bittensor subnet hyperparameters shape subnet timing, weight flow, consensus behavior, and emission handling without defining the subnet task itself.
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Tempo
How Bittensor subnets use tempos as block-based intervals for reward distribution, weight processing, and subnet timing.