inference-labs-inc/subnet-2

Health v2 · maintenance only

Adoption not part of the score

2437 stars · 127 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Subnet 2 on the Bittensor network implements a Proof-of-Inference system that uses zero-knowledge machine learning (zk-ML) to cryptographically verify that AI predictions were produced by a specific model. It ships native Rust miner and validator binaries that communicate over HTTP and QUIC, with pre-built auto-updating releases.

Use cases

• verify that AI model predictions come from a specific model using zero-knowledge proofs
• run a miner that serves zk-circuit-verifiable AI predictions on Bittensor
• run a validator that checks zk-proofs of inference from miners
• earn rewards for generating succinct, efficient zk-provable models
• participate in a decentralized verified intelligence network without GPU hardware
• audit the integrity of AI inference outputs cryptographically

When to choose

• you want to mine or validate on Bittensor subnet 2 with verifiable inference
• you need cryptographic proof that an AI prediction came from a specific model
• you want to contribute to or build on zk-ML proving systems in a decentralized network
• you prefer CPU-friendly participation since zk-proofs are CPU-intensive

When to avoid

• you need a general-purpose zk-ML toolkit outside the Bittensor ecosystem
• you want a simple hosted inference API without blockchain participation
• you are not prepared to operate continuously running miner/validator nodes with auto-updates

Facets

service · maturity active

machine-learning llm-inference cryptography monitoring cli machine-learning blockchain artificial-intelligence security microservices rust cli zkml bittensor proof-of-inference zero-knowledge-proofs subnet verifiable-inference decentralized-ai miner validator cryptocurrency linux macos

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markdown · JSON · MCP: product_card(name="inference-labs-inc/subnet-2")