Inference & Serving · Fast-moving · Advanced

Test-Time Compute Scaling

Also known as: Test-Time Search, Inference Budgeting

The strategy of increasing computational resources at inference time (via search, sampling, or verification) to boost model accuracy.

What Test-Time Compute Scaling is

Test-Time Compute Scaling allows models to solve harder problems by thinking longer rather than relying solely on pre-training parameters.

How it works

Implements techniques like Monte Carlo Tree Search, self-consistency sampling, and multi-candidate verification loops during generation.

Why it matters

Fundamental for next-generation reasoning architectures that tackle complex scientific research and programming tasks.

Common uses