Model Serving
Model serving is the infrastructure process of hosting models so applications can send requests and receive predictions or generated outputs.
Category
AI Compute Settlement
These ideas connect AI infrastructure with workload accounting, availability, and verifiable service records.
How to recognize this theme
Terms about serving model workloads and recording compute delivery.
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.
Batch Inference
Batch inference groups many model requests for scheduled or bulk processing instead of serving each request immediately.
Availability Layer
An availability layer provides redundancy, routing, or monitoring so a compute or data service remains reachable when demand or failures change.
Attestation Log
An attestation log is a record of signed or verifiable claims about events such as workload execution, data handling, or runtime identity.