latency
AIモデルが入力データを受け取ってから予測結果を出力するまでの時間。
リアルタイム性が求められるアプリケーション（自動運転や音声認識など）において非常に重要な指標です。モデルのサイズ、計算の複雑さ、ハードウェア性能に依存します。量子化や枝刈り（Pruning）などのモデル軽量化技術や、エッジデバイスでの処理によりレイテンシを短縮できます。
graph LR
Center["latency"]:::main
Rel_network_latency["network-latency"]:::related -.-> Center
click Rel_network_latency "/terms/network-latency"
classDef main fill:#7c3aed,stroke:#8b5cf6,stroke-width:2px,color:white,font-weight:bold,rx:5,ry:5;
classDef pre fill:#0f172a,stroke:#3b82f6,color:#94a3b8,rx:5,ry:5;
classDef child fill:#0f172a,stroke:#10b981,color:#94a3b8,rx:5,ry:5;
classDef related fill:#0f172a,stroke:#8b5cf6,stroke-dasharray: 5 5,color:#94a3b8,rx:5,ry:5;
linkStyle default stroke:#4b5563,stroke-width:2px;
🧠 理解度チェック
1 / 1
🧒 5歳でもわかるように説明
Latency is like the delay when you call someone's name and wait for them to say 'Hello'. If they are right next to you, latency is low. If they are across a football field, the sound takes time to travel, so latency is higher.
🤓 Expert Deep Dive
Latency is composed of several delays: Processing Delay (router speed), Queuing Delay (waiting in line), Transmission Delay (pushing bits onto the wire), and Propagation Delay (the speed of light in the medium). Every mile of fiber optic cable adds about 0.005ms of propagation latency.