Decentralized Inference
Decentralized inference is running model inference across multiple independent compute providers, potentially improving resilience and enabling market-based capacity allocation.
Category
AI x Crypto Infrastructure
These terms describe how compute, proofs, and data layers can combine to make AI systems more verifiable and composable.
How to recognize this theme
Building blocks for deploying AI workloads with blockchain guarantees.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
Educational context
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Verifiable Compute
Verifiable compute is a design where a system can provide evidence that a computation was executed correctly, which can be important for trust-minimized AI workflows.
Data Availability
Data availability is the property that published data is accessible to participants so they can verify state transitions, proofs, or results over time.
ZK Proof
A ZK proof is a cryptographic proof that can show a statement is true without revealing all underlying data, enabling privacy-preserving verification of certain computations.