Compute Optimal

Definitions

1. Describing a training or model setup that makes the most effective use of a fixed compute budget according to scaling-law reasoning. A compute-optimal approach balances parameters, data, and training duration rather than maximizing one dimension blindly.

   In plain English: Using available compute in the most efficient way for model training.

   Example: "The team favored a compute-optimal training run instead of a larger undertrained model because their GPU budget was fixed."

Related Terms

• AI Compute
• AI Multi-Agent
• Alignment Tax
• Benchmark Saturation
• Capability Overhang
• Chinchilla Scaling
• Data Scaling
• Scaling Hypothesis