DEFINITION
Inference Scaling
AI Model Inference Scaling
Definition
Optimization and distribution of AI model inference (prediction/output generation) across multiple compute resources to handle increased load, reduce latency, and improve efficiency. Critical infrastructure concern for agent economies
Examples in the Wild
- Example 1:Routing inference requests across multiple GPU clusters
- Example 2:Load balancing agent inference across hyperscaler infrastructure
- Example 3:Optimizing inference latency for real-time agent decision-making