FlashAttention vs Pyramid Attention: Which Transformer Optimization Is Better?

FlashAttention and Pyramid Attention are two powerful optimization techniques for Transformers — but they solve different problems. FlashAttention improves memory efficiency by reordering attention computation, while Pyramid Attention reduces compute by using hierarchical, multi-scale representations. In this video, you’ll learn: • Why standard self-attention is expensive • How FlashAttention reduces memory bottlenecks • How Pyramid Attention reduces compute cost • When to use each approach • Which method scales better for long context If you're studying LLM optimization, efficient Transfor…