{
  "slug": "nvidia-nim",
  "name": "NVIDIA NIM",
  "company": "NVIDIA",
  "website": "https://developer.nvidia.com/nim",
  "category": "platforms",
  "business_model": "freemium",
  "availability": "unknown",
  "launched": null,
  "tags": [
    "infer",
    "developer-tools"
  ],
  "updated": "2026-11-03",
  "sources": [
    {
      "title": "NVIDIA NIM — official product",
      "url": "https://developer.nvidia.com/nim"
    },
    {
      "title": "NVIDIA NIM — official documentation and terms",
      "url": "https://docs.nvidia.com/nim/"
    }
  ],
  "selection": {
    "tasks": [
      "model-hosting"
    ],
    "form_factor": "service",
    "platforms": [
      "unknown"
    ],
    "deployment": [
      "self-hosted",
      "cloud"
    ],
    "offline": "unknown",
    "regions": [
      "unknown"
    ],
    "api": "yes",
    "license": "unknown",
    "commercial_use": "unknown",
    "languages": [
      "unknown"
    ],
    "billing": {
      "models": [
        "enterprise-quote"
      ],
      "free_allowance": "limited",
      "requires_subscription": "unknown"
    }
  },
  "selection_evidence": {
    "tasks": {
      "status": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    },
    "form_factor": {
      "status": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    },
    "platforms": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "deployment": {
      "status": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    },
    "offline": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "regions": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "api": {
      "status": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    },
    "license": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "commercial_use": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "languages": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "billing": {
      "status": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    }
  },
  "facts": [
    {
      "id": "nvidia-nim.capability.primary",
      "field": "capability",
      "value": "Self-host GPU-accelerated inference containers",
      "status": "verified",
      "evidence_type": "official_page",
      "checked": "2026-11-03",
      "sources": [
        "https://developer.nvidia.com/nim"
      ]
    }
  ],
  "docs_url": "https://docs.nvidia.com/nim/",
  "description": "Containerized inference microservices for deploying pretrained and customized models on NVIDIA infrastructure.",
  "overview": "Typical uses include Serving AI models to applications; Deployment of production inference endpoints. Documented capabilities: Self-host GPU-accelerated inference containers; Industry-standard APIs for application integration; Optimized runtimes for supported model and GPU combinations.",
  "features": [
    "Self-host GPU-accelerated inference containers",
    "Industry-standard APIs for application integration",
    "Optimized runtimes for supported model and GPU combinations"
  ],
  "use_cases": [
    "Serving AI models to applications",
    "Deployment of production inference endpoints"
  ],
  "pricing_notes": "Developer Program access covers NIM endpoints and containers for development and testing. Production security updates and support are associated with NVIDIA AI Enterprise or partner endpoints; GPU infrastructure and model-specific terms remain separate from prototype access.",
  "faq": [
    {
      "q": "Where does NVIDIA NIM fit in a workflow?",
      "a": "Containerized inference microservices for deploying pretrained and customized models on NVIDIA infrastructure. Self-host GPU-accelerated inference containers."
    },
    {
      "q": "What costs and limits should I compare before choosing NVIDIA NIM?",
      "a": "Developer Program access covers NIM endpoints and containers for development and testing. Production security updates and support are associated with NVIDIA AI Enterprise or partner endpoints; GPU infrastructure and model-specific terms remain separate from prototype access."
    }
  ],
  "i18n": {
    "zh": {
      "description": "在NVIDIA基础设施部署预训练及定制模型的容器化推理微服务。",
      "overview": "典型用途包括向应用提供AI模型、生产推理端点部署。文档列明的能力包括：自托管GPU加速推理容器；用于应用集成的行业标准API；针对支持模型及GPU组合优化的运行时。",
      "features": [
        "自托管GPU加速推理容器",
        "用于应用集成的行业标准API",
        "针对支持模型及GPU组合优化的运行时"
      ],
      "use_cases": [
        "向应用提供AI模型",
        "生产推理端点部署"
      ],
      "pricing_notes": "Developer Program提供NIM端点和容器供开发测试。生产安全更新与支持关联NVIDIA AI Enterprise或合作伙伴端点，GPU基础设施和各模型条款与原型访问分开。",
      "faq": [
        {
          "q": "NVIDIA NIM适合工作流中的哪个环节？",
          "a": "在NVIDIA基础设施部署预训练及定制模型的容器化推理微服务。 自托管GPU加速推理容器."
        },
        {
          "q": "选择NVIDIA NIM前应比较哪些费用和限制？",
          "a": "Developer Program提供NIM端点和容器供开发测试。生产安全更新与支持关联NVIDIA AI Enterprise或合作伙伴端点，GPU基础设施和各模型条款与原型访问分开。"
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "依据所记录功能作出的编辑归类，非产品性能实测。"
        },
        "form_factor": {
          "note": "依据所记录功能作出的编辑归类，非产品性能实测。"
        },
        "platforms": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "deployment": {
          "note": "依据所记录功能作出的编辑归类，非产品性能实测。"
        },
        "offline": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "regions": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "api": {
          "note": "依据所记录功能作出的编辑归类，非产品性能实测。"
        },
        "license": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "commercial_use": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "languages": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "billing": {
          "note": "依据所记录功能作出的编辑归类，非产品性能实测。"
        }
      },
      "facts": {
        "nvidia-nim.capability.primary": {
          "value": "自托管GPU加速推理容器"
        }
      }
    },
    "es": {
      "description": "Microservicios de inferencia en contenedores para modelos preentrenados y personalizados en NVIDIA.",
      "overview": "Usos habituales: Servicio de modelos para aplicaciones; Despliegue de endpoints de inferencia. Funciones documentadas: Contenedores de inferencia GPU autoalojados; API estándar para integrar aplicaciones; Runtimes optimizados por modelo y GPU.",
      "features": [
        "Contenedores de inferencia GPU autoalojados",
        "API estándar para integrar aplicaciones",
        "Runtimes optimizados por modelo y GPU"
      ],
      "use_cases": [
        "Servicio de modelos para aplicaciones",
        "Despliegue de endpoints de inferencia"
      ],
      "pricing_notes": "Developer Program da acceso a endpoints y contenedores para desarrollo y pruebas. Actualizaciones y soporte de producción corresponden a AI Enterprise o socios; GPU y condiciones de modelos son aparte.",
      "faq": [
        {
          "q": "¿En qué parte del flujo encaja NVIDIA NIM?",
          "a": "Microservicios de inferencia en contenedores para modelos preentrenados y personalizados en NVIDIA. Contenedores de inferencia GPU autoalojados."
        },
        {
          "q": "¿Qué costes y límites debo comparar antes de elegir NVIDIA NIM?",
          "a": "Developer Program da acceso a endpoints y contenedores para desarrollo y pruebas. Actualizaciones y soporte de producción corresponden a AI Enterprise o socios; GPU y condiciones de modelos son aparte."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        },
        "form_factor": {
          "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        },
        "platforms": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "deployment": {
          "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        },
        "offline": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "regions": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "api": {
          "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        },
        "license": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "commercial_use": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "languages": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "billing": {
          "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        }
      },
      "facts": {
        "nvidia-nim.capability.primary": {
          "value": "Contenedores de inferencia GPU autoalojados"
        }
      }
    },
    "fr": {
      "description": "Microservices d’inférence conteneurisés pour modèles préentraînés et personnalisés sur NVIDIA.",
      "overview": "Usages courants : Mise à disposition de modèles IA; Déploiement de points d’inférence en production. Fonctions documentées : Conteneurs d’inférence GPU auto-hébergés; API standard pour intégrer les applications; Exécutions optimisées par modèle et GPU.",
      "features": [
        "Conteneurs d’inférence GPU auto-hébergés",
        "API standard pour intégrer les applications",
        "Exécutions optimisées par modèle et GPU"
      ],
      "use_cases": [
        "Mise à disposition de modèles IA",
        "Déploiement de points d’inférence en production"
      ],
      "pricing_notes": "Developer Program donne accès aux points et conteneurs pour développer et tester. Sécurité et support de production relèvent d’AI Enterprise ou partenaires ; GPU et conditions modèles restent distincts.",
      "faq": [
        {
          "q": "Quelle place occupe NVIDIA NIM dans un parcours de travail ?",
          "a": "Microservices d’inférence conteneurisés pour modèles préentraînés et personnalisés sur NVIDIA. Conteneurs d’inférence GPU auto-hébergés."
        },
        {
          "q": "Quels coûts et limites comparer avant de choisir NVIDIA NIM ?",
          "a": "Developer Program donne accès aux points et conteneurs pour développer et tester. Sécurité et support de production relèvent d’AI Enterprise ou partenaires ; GPU et conditions modèles restent distincts."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "Classement éditorial des fonctions documentées ; aucun test de performance."
        },
        "form_factor": {
          "note": "Classement éditorial des fonctions documentées ; aucun test de performance."
        },
        "platforms": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "deployment": {
          "note": "Classement éditorial des fonctions documentées ; aucun test de performance."
        },
        "offline": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "regions": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "api": {
          "note": "Classement éditorial des fonctions documentées ; aucun test de performance."
        },
        "license": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "commercial_use": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "languages": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "billing": {
          "note": "Classement éditorial des fonctions documentées ; aucun test de performance."
        }
      },
      "facts": {
        "nvidia-nim.capability.primary": {
          "value": "Conteneurs d’inférence GPU auto-hébergés"
        }
      }
    },
    "ja": {
      "description": "NVIDIA基盤で事前学習・カスタムモデルを展開するコンテナ型推論サービス。",
      "overview": "主な用途はアプリへのAIモデル提供、本番推論エンドポイントの展開です。資料に記載された機能：GPU加速推論コンテナの自前運用；アプリ統合用の業界標準API；対応モデルとGPUの組合せに最適化したランタイム。",
      "features": [
        "GPU加速推論コンテナの自前運用",
        "アプリ統合用の業界標準API",
        "対応モデルとGPUの組合せに最適化したランタイム"
      ],
      "use_cases": [
        "アプリへのAIモデル提供",
        "本番推論エンドポイントの展開"
      ],
      "pricing_notes": "Developer Programでは開発・テスト用のNIMエンドポイントとコンテナを利用できます。本番の更新と支援はAI Enterpriseや提携先の契約に対応し、GPUと各モデルの条件は別です。",
      "faq": [
        {
          "q": "NVIDIA NIMはワークフローのどの部分に向いていますか？",
          "a": "NVIDIA基盤で事前学習・カスタムモデルを展開するコンテナ型推論サービス。 GPU加速推論コンテナの自前運用."
        },
        {
          "q": "NVIDIA NIMを選ぶ前に比較すべき費用や制限は何ですか？",
          "a": "Developer Programでは開発・テスト用のNIMエンドポイントとコンテナを利用できます。本番の更新と支援はAI Enterpriseや提携先の契約に対応し、GPUと各モデルの条件は別です。"
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。"
        },
        "form_factor": {
          "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。"
        },
        "platforms": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "deployment": {
          "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。"
        },
        "offline": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "regions": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "api": {
          "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。"
        },
        "license": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "commercial_use": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "languages": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "billing": {
          "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。"
        }
      },
      "facts": {
        "nvidia-nim.capability.primary": {
          "value": "GPU加速推論コンテナの自前運用"
        }
      }
    },
    "de": {
      "description": "Containerisierte Inferenzdienste für vortrainierte und angepasste Modelle auf NVIDIA.",
      "overview": "Typische Anwendungen: Bereitstellung von KI-Modellen; Deployment produktiver Inferenzendpunkte. Dokumentierte Funktionen: GPU-beschleunigte Inferenzcontainer selbst hosten; Standard-APIs zur Anwendungsintegration; Optimierte Laufzeiten je Modell-GPU-Kombination.",
      "features": [
        "GPU-beschleunigte Inferenzcontainer selbst hosten",
        "Standard-APIs zur Anwendungsintegration",
        "Optimierte Laufzeiten je Modell-GPU-Kombination"
      ],
      "use_cases": [
        "Bereitstellung von KI-Modellen",
        "Deployment produktiver Inferenzendpunkte"
      ],
      "pricing_notes": "Der Developer Program-Zugang umfasst NIM-Endpunkte und Container für Entwicklung und Tests. Produktionsupdates und Support gehören zu AI Enterprise oder Partnern; GPUs und Modellbedingungen bleiben separat.",
      "faq": [
        {
          "q": "Wo passt NVIDIA NIM in den Arbeitsablauf?",
          "a": "Containerisierte Inferenzdienste für vortrainierte und angepasste Modelle auf NVIDIA. GPU-beschleunigte Inferenzcontainer selbst hosten."
        },
        {
          "q": "Welche Kosten und Limits sollte ich vor der Wahl von NVIDIA NIM vergleichen?",
          "a": "Der Developer Program-Zugang umfasst NIM-Endpunkte und Container für Entwicklung und Tests. Produktionsupdates und Support gehören zu AI Enterprise oder Partnern; GPUs und Modellbedingungen bleiben separat."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        },
        "form_factor": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        },
        "platforms": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "deployment": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        },
        "offline": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "regions": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "api": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        },
        "license": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "commercial_use": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "languages": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "billing": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        }
      },
      "facts": {
        "nvidia-nim.capability.primary": {
          "value": "GPU-beschleunigte Inferenzcontainer selbst hosten"
        }
      }
    },
    "pt": {
      "description": "Microsserviços de inferência em contêineres para modelos pré-treinados e personalizados na NVIDIA.",
      "overview": "Usos comuns: Serviço de modelos para aplicações; Implantação de endpoints de inferência. Recursos documentados: Contêineres de inferência GPU auto-hospedados; APIs padrão para integração de aplicativos; Runtimes otimizados por modelo e GPU.",
      "features": [
        "Contêineres de inferência GPU auto-hospedados",
        "APIs padrão para integração de aplicativos",
        "Runtimes otimizados por modelo e GPU"
      ],
      "use_cases": [
        "Serviço de modelos para aplicações",
        "Implantação de endpoints de inferência"
      ],
      "pricing_notes": "Developer Program oferece endpoints e contêineres para desenvolvimento e testes. Atualizações e suporte de produção estão ligados ao AI Enterprise ou parceiros; GPUs e condições de modelos são separados.",
      "faq": [
        {
          "q": "Em que parte do fluxo NVIDIA NIM se encaixa?",
          "a": "Microsserviços de inferência em contêineres para modelos pré-treinados e personalizados na NVIDIA. Contêineres de inferência GPU auto-hospedados."
        },
        {
          "q": "Quais custos e limites comparar antes de escolher NVIDIA NIM?",
          "a": "Developer Program oferece endpoints e contêineres para desenvolvimento e testes. Atualizações e suporte de produção estão ligados ao AI Enterprise ou parceiros; GPUs e condições de modelos são separados."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        },
        "form_factor": {
          "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        },
        "platforms": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "deployment": {
          "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        },
        "offline": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "regions": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "api": {
          "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        },
        "license": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "commercial_use": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "languages": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "billing": {
          "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        }
      },
      "facts": {
        "nvidia-nim.capability.primary": {
          "value": "Contêineres de inferência GPU auto-hospedados"
        }
      }
    },
    "ko": {
      "description": "NVIDIA 인프라에서 사전 학습 및 맞춤 모델을 배포하는 컨테이너 추론 마이크로서비스입니다.",
      "overview": "주요 용도는 앱에 AI 모델 제공; 운영 추론 엔드포인트 배포입니다. 문서에 명시된 기능: GPU 가속 추론 컨테이너 자체 호스팅; 앱 통합용 산업 표준 API; 지원 모델 및 GPU 조합 최적화 런타임.",
      "features": [
        "GPU 가속 추론 컨테이너 자체 호스팅",
        "앱 통합용 산업 표준 API",
        "지원 모델 및 GPU 조합 최적화 런타임"
      ],
      "use_cases": [
        "앱에 AI 모델 제공",
        "운영 추론 엔드포인트 배포"
      ],
      "pricing_notes": "Developer Program은 개발과 테스트용 NIM 엔드포인트 및 컨테이너 접근을 제공합니다. 운영 업데이트와 지원은 AI Enterprise 또는 파트너 조건이며 GPU와 모델별 조건은 별도입니다.",
      "faq": [
        {
          "q": "NVIDIA NIM은(는) 워크플로의 어느 단계에 적합한가요?",
          "a": "NVIDIA 인프라에서 사전 학습 및 맞춤 모델을 배포하는 컨테이너 추론 마이크로서비스입니다. GPU 가속 추론 컨테이너 자체 호스팅."
        },
        {
          "q": "NVIDIA NIM 선택 전에 어떤 비용과 제한을 비교해야 하나요?",
          "a": "Developer Program은 개발과 테스트용 NIM 엔드포인트 및 컨테이너 접근을 제공합니다. 운영 업데이트와 지원은 AI Enterprise 또는 파트너 조건이며 GPU와 모델별 조건은 별도입니다."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        },
        "form_factor": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        },
        "platforms": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "deployment": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        },
        "offline": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "regions": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "api": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        },
        "license": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "commercial_use": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "languages": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "billing": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        }
      },
      "facts": {
        "nvidia-nim.capability.primary": {
          "value": "GPU 가속 추론 컨테이너 자체 호스팅"
        }
      }
    }
  },
  "verification": {
    "last_checked": "2026-11-03",
    "batch": "catalog-500-20261103",
    "source_review": "Official product pages read; no product-performance test.",
    "reviewed_sources": [
      "https://developer.nvidia.com/nim",
      "https://docs.nvidia.com/nim/"
    ],
    "egress_region": "unknown",
    "owner": "technical",
    "gap_note": "Only documented product scope and supplied claims were reviewed. Fields left unknown were not established for this entry; no launch date, geographic guarantee or licence is inferred."
  },
  "url": "https://globalaiproductindex.com/products/nvidia-nim/"
}