Inference Budget

Definitions

1. The amount of compute, latency, tokens, or money available for running inference on a task or product. Inference budgets force tradeoffs among model quality, context size, tool use, and responsiveness.

   In plain English: The amount of resources available for running an AI model on a request.

   Example: "The assistant could call tools only twice per request because the team needed to stay within the inference budget for free-tier accounts."

Related Terms

• Implicit Reasoning
• Inference Cost
• Inference Latency
• Inference Optimization
• Inference Server
• Inference Speed
• Inference Time
• On-Device Inference