Glossary
Inference Latency
Inference latency is the delay between sending a request to a model and receiving output, shaped by queueing, batch scheduling, compute speed, and decoding strategy.
Plain-English meaning
In this game, Inference Latency is used as a vocabulary card for recognizing how market and technology concepts fit together. The short idea is: time to get a response.
The term is not shown as a recommendation. It is included so players can learn the language they may see in exchange interfaces, wallet prompts, research notes, AI product pages, or on-chain analytics dashboards.
Why it belongs with AI Inference Scaling
These terms describe throughput, latency, and memory constraints that shape how AI systems are deployed.
When solving the puzzle, compare the job this term performs with nearby cards. A correct group usually shares a function, risk type, workflow, or market structure rather than simply sharing similar wording.
Where you might see it
You might encounter this term while reading educational explainers, product documentation, risk disclosures, market dashboards, or beginner guides. Always separate vocabulary learning from financial decision-making.