RC
ENT-00002630 · AI Infrastructure

RAPIDS cuML

RAPIDS cuML is a framework / tooling system associated with NVIDIA.

Level V — PersistentActiveDocumented
Human readable record

Overview

RAPIDS cuML is a software system used in AI, machine learning, data processing or model deployment. It is documented as gpu accelerated machine learning library, making it a useful infrastructure node for tracing how models, datasets, experiments and applications are built.

Timeline

  1. 2018Public release or documentation

    RAPIDS cuML appears in public documentation, project records, benchmark descriptions or research references associated with NVIDIA.

Capabilities

AI development infrastructureSoftware or platform documentationWorkflow supportIntegration contextDeployment or evaluation support

Known limitations

Capabilities depend on software version, deployment configuration and supported integrations.Project scope and maintenance status can change over time.
Technical and registry detail

Technical description

Structured record for RAPIDS cuML. The technical layer identifies the entity type, classification, creator or organization, official source anchor, capabilities, limitations, timeline entries and graph relationships without adding internal import events to the public history.

Controlled tags

AI InfrastructureSoftwareFrameworkMachine Learning
Relationship graph
RAPIDS cuML
Associated organizationNVIDIA

NVIDIA is the organization, project community or institutional context associated with RAPIDS cuML.

Domain contextAI infrastructure

RAPIDS cuML belongs to the AI infrastructure layer of the intelligent-entity registry.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00002630",
    "name": "RAPIDS cuML",
    "alternateName": [],
    "additionalType": "AI Infrastructure",
    "description": "RAPIDS cuML is a framework / tooling system associated with NVIDIA.",
    "creator": "NVIDIA",
    "url": "entity.php?id=ENT-00002630",
    "sameAs": "https://rapids.ai/",
    "lxkeysWorld": {
        "classification": "Framework / Tooling System",
        "organization": "NVIDIA",
        "originContext": "AI infrastructure",
        "firstPublicAppearance": "2018",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 82,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 19,
            "level": "Level V — Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:48:33+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:48:33+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "reviewed_utc": "2026-06-17T01:48:33+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "capabilities": [
            "AI development infrastructure",
            "Software or platform documentation",
            "Workflow support",
            "Integration context",
            "Deployment or evaluation support"
        ],
        "limitations": [
            "Capabilities depend on software version, deployment configuration and supported integrations.",
            "Project scope and maintenance status can change over time."
        ],
        "tags": [
            "AI Infrastructure",
            "Software",
            "Framework",
            "Machine Learning"
        ],
        "timeline": [
            {
                "date": "2018",
                "title": "Public release or documentation",
                "description": "RAPIDS cuML appears in public documentation, project records, benchmark descriptions or research references associated with NVIDIA."
            }
        ],
        "relationships": [
            {
                "target": "NVIDIA",
                "type": "Associated organization",
                "description": "NVIDIA is the organization, project community or institutional context associated with RAPIDS cuML.",
                "evidence_level": "documentary"
            },
            {
                "target": "AI infrastructure",
                "type": "Domain context",
                "description": "RAPIDS cuML belongs to the AI infrastructure layer of the intelligent-entity registry.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://rapids.ai/",
                "source_type": "Official Source",
                "verification_status": "verified"
            }
        ]
    }
}
Proof and discussion layer

Contribute to this record

Submit a proof, correction or comment. Public display is moderated. Every submission remains preserved in the export archive.

Submit proof or comment

Approved comments

No approved public comment yet.