Quick Guide: Running Your First Gen AI Inference on Ethereum

Frequently Asked Questions

01.What does running Gen AI inference on Ethereum mean?

It means executing a machine learning model and recording a cryptographic proof of that computation on the Ethereum blockchain. The output is a verifiable, auditable record that any party can inspect without re-running the model.

02.Can I start with an MVP for on-chain AI inference?

Yes. Most operators start with a single model endpoint integrated with Ora Protocol or Ritual, verify one inference per transaction, and expand from there. A scoped MVP can be production-ready in 10 to 14 weeks with an experienced partner.

03.What is included in a smart contract audit cost for on-chain AI?

A standard audit covers the oracle callback handler, access control on inference requests, gas accounting, replay attack prevention, and proof-verification logic. Audit costs depend on contract complexity and auditor tier. Budget accordingly before mainnet deployment.

04.How does on-chain AI inference compare to cloud AI in cost?

Cloud AI inference costs a fraction of a cent per request with sub-100ms latency. On-chain inference adds gas overhead per verified call depending on the network and proof system used. The premium is justified when auditability, trustlessness, or regulatory traceability is required.

05.Which Ethereum-compatible networks support on-chain AI inference today?

Ethereum mainnet, Arbitrum One, Base, and Optimism all support on-chain AI inference through Ora Protocol and Ritual as of 2026. Gensyn operates its own proof-of-learning network that settles rewards on Ethereum mainnet.