CLIP Training on GPU

Why it matters

CLIP-style training is foundational for VLM. Understanding shapes design.

The architecture

Batch of (image, text) pairs.

Image encoder + text encoder.

Contrastive: matching pair similarity high.

How it works end to end

InfoNCE: temperature-scaled softmax over batch.

Large batch: 32K+ for scale.

Gradient accumulation.

Symmetric loss (image-to-text + text-to-image).