Is flash attention a new attention architecture or an implementation trick, per Vizuara's lectures?

Vizuara's attention family series puts flash attention in its GPU-implementation bucket, not in scoring or connectivity: it is about how attention is run on GPU hardware so inference is much faster, alongside paged attention and ring attention. Llama 3 and DeepSeek V3 both use it. The series covers these kernels in its final modules.

• The instructor raises the question directly in the first lecture: does flash attention change the architecture itself or only how it is implemented for GPU inference?

Source: our own transcription of the episode. The full conversation is on The attention family (2026-09-01). Read the whole episode summary →

▸More from this episode