Neural Networks
Flash Attention
Neural Networks· Advanced
Definition
A memory-efficient, IO-aware exact attention algorithm that computes attention significantly faster than standard implementations by tiling the computation to avoid materializing the full attention matrix in GPU memory. Enables training and inference on much longer contexts than naive implementations.
Enterprise Context
Flash Attention is why modern LLMs can handle 100K+ token contexts efficiently. A key infrastructure innovation that makes long-context enterprise use cases economically viable.
Tags
#performance#transformer#inference
MS
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