G
ENT-00000723 · AI Organization

Graphcore

Graphcore is a documented ai organization associated with Graphcore.

Level IV — ConnectedActiveDocumented
Human readable record

Overview

Graphcore is documented as an organization-level intelligence node. It is relevant because it is company known for intelligence processing unit hardware. The record connects the institution to its models, platforms, research systems, developer tools and public AI products.

Timeline

  1. 2016Graphcore public reference

    Graphcore is publicly documented in relation to Graphcore.

Capabilities

AI research or product developmentModel, platform or infrastructure stewardshipEcosystem and source anchoringPublic organizational reference

Known limitations

The record documents the organization as an intelligence ecosystem node rather than a single model or assistant.Capabilities should be interpreted through the organization’s products, research outputs and public documentation.
Technical and registry detail

Technical description

Structured record for Graphcore. The technical layer identifies entity type AI Organization, organization Graphcore, source anchor https://www.graphcore.ai/, capability fields, limitation fields, timeline event, source records, tags (Graphcore, AI Organization, Organization) and graph relationships for machine-readable registry integration.

Controlled tags

GraphcoreAI OrganizationOrganizationAI
Relationship graph
Graphcore

No relationship record has been approved yet.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00000723",
    "name": "Graphcore",
    "alternateName": [],
    "additionalType": "AI Organization",
    "description": "Graphcore is a documented ai organization associated with Graphcore.",
    "creator": "Graphcore",
    "url": "entity.php?id=ENT-00000723",
    "sameAs": "https://www.graphcore.ai/",
    "lxkeysWorld": {
        "classification": "AI processor company",
        "organization": "Graphcore",
        "originContext": "AI organization",
        "firstPublicAppearance": "2016",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 66,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 3,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:02+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:02+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:02+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "AI research or product development",
            "Model, platform or infrastructure stewardship",
            "Ecosystem and source anchoring",
            "Public organizational reference"
        ],
        "limitations": [
            "The record documents the organization as an intelligence ecosystem node rather than a single model or assistant.",
            "Capabilities should be interpreted through the organization’s products, research outputs and public documentation."
        ],
        "tags": [
            "Graphcore",
            "AI Organization",
            "Organization",
            "AI"
        ],
        "timeline": [
            {
                "date": "2016",
                "title": "Graphcore public reference",
                "description": "Graphcore is publicly documented in relation to Graphcore."
            }
        ],
        "relationships": [],
        "sources": [
            {
                "label": "Graphcore official reference",
                "url": "https://www.graphcore.ai/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
Proof and discussion layer

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