Batch Inference

Definitions

1. Running model predictions on many inputs together, usually to improve throughput and hardware efficiency compared with one-at-a-time processing.

   In plain English: Processing many AI requests together in one run.

   Example: "We used batch inference for nightly enrichment instead of real-time calls."

Related Terms

• LoRA
• Groq Chip
• Model Throughput
• Think Token
• Token Per Second
• Linearized Attention
• Mixture of Depths
• Window Attention