Glossary
KV Cache
A KV cache stores intermediate key/value tensors from prior tokens so an autoregressive model can generate the next token faster without recomputing attention over the full history each step.
Plain-English meaning
KV Cache is used here to describe reuse attention computations. In the daily board, the word is grouped by the role it performs rather than by spelling or market popularity.
You may encounter it in a product interface, technical document, risk report, policy paper, or market dashboard. The term is included for recognition and comparison, not as a product recommendation.
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.