ENT-00001505 · AI Kernel

FlashAttention

FlashAttention is a efficient attention implementation associated with FlashAttention project.

Level IV — ConnectedActiveConnected

Human readable record

Overview

FlashAttention is a documented AI model or assistant-related entity associated with FlashAttention project. The record focuses on its public identity, release context, capability class, source lineage and relationship to adjacent model or product families.

Timeline

2022FlashAttention public documentation anchor
FlashAttention appears in public documentation or stable reference sources as a efficient attention implementation associated with FlashAttention project.

Capabilities

Model developmentModel servingTechnical AI workflow

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.

Technical and registry detail

Technical description

Structured record for FlashAttention. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://github.com/Dao-AILab/flash-attention.

Controlled tags

AI InfrastructureFrameworkMachine Learning

Relationship graph

FlashAttention

Associated organizationFlashAttention project

FlashAttention is associated with FlashAttention project through its documented source context.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001505",
    "name": "FlashAttention",
    "alternateName": [],
    "additionalType": "AI Kernel",
    "description": "FlashAttention is a efficient attention implementation associated with FlashAttention project.",
    "creator": "Tri Dao",
    "url": "entity.php?id=ENT-00001505",
    "sameAs": "https://github.com/Dao-AILab/flash-attention",
    "lxkeysWorld": {
        "classification": "efficient attention implementation",
        "organization": "FlashAttention project",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2022",
        "currentStatus": "Active",
        "registryStatus": "Connected",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:28+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:28+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:28+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Model development",
            "Model serving",
            "Technical AI workflow"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "AI Infrastructure",
            "Framework",
            "Machine Learning"
        ],
        "timeline": [
            {
                "date": "2022",
                "title": "FlashAttention public documentation anchor",
                "description": "FlashAttention appears in public documentation or stable reference sources as a efficient attention implementation associated with FlashAttention project."
            }
        ],
        "relationships": [
            {
                "target": "FlashAttention project",
                "type": "Associated organization",
                "description": "FlashAttention is associated with FlashAttention project through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "FlashAttention repository",
                "url": "https://github.com/Dao-AILab/flash-attention",
                "source_type": "Official Repository",
                "verification_status": "verified"
            }
        ]
    }
}

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