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Machine Brief|

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  2. /Glossary
  3. /Compute
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ai

Compute

The processing power needed to train and run AI models.

Definition

The processing power needed to train and run AI models. Measured in FLOPs (floating-point operations) for training and tokens-per-second for inference. The AI industry's most constrained resource — access to enough GPUs determines who can train frontier models. NVIDIA dominates the compute market.

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Related Terms

GPU

Graphics Processing Unit.

TPU

Tensor Processing Unit.

Training

The process of teaching an AI model by exposing it to data and adjusting its parameters to minimize errors.

Activation Function

A mathematical function applied to a neuron's output that introduces non-linearity into the network.

Adam Optimizer

An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.

AGI

Artificial General Intelligence.

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