Running an AIVM Validator: Core, AI, Compute and Data Validators Explained
AIVM, the Layer-1 blockchain by ChainGPT, introduces a four-validator architecture to properly verify every layer of the AI stack — from block product…
AWS, GCP, Azure own all the GPUs. No access, no AI.
OpenAI, Anthropic, Google keep weights proprietary. Take it or leave it.
Training data is scraped from the public then locked behind paywalls.
API calls are black boxes. No way to verify what actually ran.
AIVM fixes this. Open compute marketplace. Cryptographically verifiable model execution. Tokenised data ownership. All on a decentralised Layer-1 — no permission required.
Unlike generic blockchains where one validator does everything, AIVM specialises validation by function — making AI verification efficient at scale.
Secure network consensus via Tendermint. The backbone of the chain — process transactions, produce blocks, maintain finality.
Verify that AI model executions produce correct outputs. Use ZK proofs and TEEs to confirm inference results without revealing model weights.
Monitor GPU quality and performance across the decentralised compute marketplace. Enforce SLAs and benchmark providers.
Maintain data integrity and privacy across the tokenised data marketplace. Audit dataset quality and enforce privacy guarantees.
Everything you need to understand, participate in, and build on AIVM — from testnet setup to deep technical architecture.
Join the testnet, complete quests, run a validator node, and contribute to the network before mainnet. The early participants who put in the work during testnet are historically the ones who benefit most at launch.
Join ChainGPT · Start Earning →Opens app.chaingpt.org — Web3 wallet required