X
ENT-00001604 · AI Compiler

XLA

XLA is a accelerated linear algebra compiler associated with Google.

Level IV — ConnectedActiveConnected
Human readable record

Overview

XLA is a technical AI system associated with Google. The record documents its role in model development, retrieval, serving, orchestration, evaluation, deployment or machine learning infrastructure.

Timeline

  1. 2017XLA public documentation anchor

    XLA appears in public documentation or stable reference sources as a accelerated linear algebra compiler associated with Google.

Capabilities

Data recordEvaluationTechnical reference

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 XLA. 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://openxla.org/xla.

Controlled tags

DatasetBenchmarkAI Infrastructure
Relationship graph
XLA
Associated organizationGoogle

XLA is associated with Google 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-00001604",
    "name": "XLA",
    "alternateName": [],
    "additionalType": "AI Compiler",
    "description": "XLA is a accelerated linear algebra compiler associated with Google.",
    "creator": "Google",
    "url": "entity.php?id=ENT-00001604",
    "sameAs": "https://openxla.org/xla",
    "lxkeysWorld": {
        "classification": "accelerated linear algebra compiler",
        "organization": "Google",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2017",
        "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": [
            "Data record",
            "Evaluation",
            "Technical reference"
        ],
        "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": [
            "Dataset",
            "Benchmark",
            "AI Infrastructure"
        ],
        "timeline": [
            {
                "date": "2017",
                "title": "XLA public documentation anchor",
                "description": "XLA appears in public documentation or stable reference sources as a accelerated linear algebra compiler associated with Google."
            }
        ],
        "relationships": [
            {
                "target": "Google",
                "type": "Associated organization",
                "description": "XLA is associated with Google through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "OpenXLA XLA documentation",
                "url": "https://openxla.org/xla",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
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