---
title: "Flash Attention - Fast Memory-Efficient Attention - Air Market"
description: "Transformers get slow and memory-hungry as inputs get longer, and attention is usually the culprit. Flash Attention computes it differently so it uses far less memory and runs faster. Reach for it wh…"
canonical: "https://airmarket.ai/app/optimizing-attention-flash"
---

[Air Market](/) / [Data & Analytics](/category/data) / Flash Attention - Fast Memory-Efficient Attention

Skill by [Orchestra Research](/@orchestra-research)

# Flash Attention - Fast Memory-Efficient Attention

When attention eats your GPU memory on long sequences

## What this does

Transformers get slow and memory-hungry as inputs get longer, and attention is usually the culprit. Flash Attention computes it differently so it uses far less memory and runs faster. Reach for it when long inputs are crashing your GPU or making runs take too long.

### Top 3 things it does for you

- Fit longer sequences into the memory you have
- Get past out-of-memory errors in attention
- Speed up training and inference on transformers

## Information

**Flash Attention - Fast Memory-Efficient Attention at a glance**

|  |  |
| --- | --- |
| Kind | Skill |
| Publisher | [Orchestra Research](/@orchestra-research) |
| Category | [Data & Analytics](/category/data) |
| Works with | Agent Skills - an open standard supported by 40+ agents |
| Version | 1.0.0 |
| Size | 24 KB |
| Licence | MIT |
| Repository | [orchestra-research/ai-research-skills](https://github.com/orchestra-research/ai-research-skills/tree/28f2d29236f2bade2eb92cadb2585189589a5828/10-optimization/flash-attention) |
| GitHub stars | 11,987 (as of Nov 2026) |

## Security report

**Verified.** AIR scanned this exact version of Flash Attention - Fast Memory-Efficient Attention and flagged nothing. AIR's verdict: **safe**.

**What Flash Attention - Fast Memory-Efficient Attention's check was run against**

|  |  |
| --- | --- |
| Commit | 28f2d29236f2bade2eb92cadb2585189589a5828 |
| Content hash | 645c9a45e60cbd8cd6402056e903437144092cd848c6f2b35911237bbd9254f8 |
| Files read | [Browse the files at this exact commit](https://github.com/orchestra-research/ai-research-skills/blob/28f2d29236f2bade2eb92cadb2585189589a5828/10-optimization/flash-attention/SKILL.md) |

A scan is named by the exact content it read, not by a version number. A different version is a different artifact, and nothing here applies to a version AIR has not scanned.

[Read the full security report for Flash Attention - Fast Memory-Efficient Attention](/security/optimizing-attention-flash)

## About Flash Attention - Fast Memory-Efficient Attention

This covers optimizing transformer attention with Flash Attention, for a meaningful speedup and a large reduction in memory use.

Use it when training or running transformers on long sequences, when hitting GPU memory problems in attention, or when you need faster inference.

It supports PyTorch native SDPA, the flash-attn library, H100 FP8 and sliding window attention.

## What's inside

- SKILL.md - instructions
- references/benchmarks.md - reference
- references/transformers-integration.md - reference

## Questions

### Is Flash Attention - Fast Memory-Efficient Attention safe to install?

AIR scanned this exact version of Flash Attention - Fast Memory-Efficient Attention and flagged nothing. AIR's verdict: safe. The verdict is named by the content that was read, at commit 28f2d29236f2, so it cannot drift onto a version nobody scanned. The full report is at https://airmarket.ai/security/optimizing-attention-flash.

### How do I install Flash Attention - Fast Memory-Efficient Attention?

Open https://airmarket.ai/app/optimizing-attention-flash on Air Market and use the install action: Air Market hands Claude a prompt naming this exact skill, and Claude sets it up. Source, pinned to the exact commit this listing describes: https://github.com/orchestra-research/ai-research-skills/tree/28f2d29236f2bade2eb92cadb2585189589a5828/10-optimization/flash-attention. Install from that link, not the branch.

## Related on Air Market

- [More Data & Analytics listings](/category/data)
- [Everything by Orchestra Research](/@orchestra-research)

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Canonical URL: <https://airmarket.ai/app/optimizing-attention-flash>