Prise en charge des modèles par Région AWS dans Amazon Bedrock
Pour obtenir la liste des Régions AWS qui prennent en charge Amazon Bedrock, consultez Points de terminaison et quotas Amazon Bedrock. Les modèles de fondations Amazon Bedrock diffèrent en termes de prise en charge régionale.
Le tableau suivant présente la prise en charge des régions par modèle :
| Fournisseur | Modèle | USA Est (Virginie du Nord) | USA Est (Ohio) | USA Ouest (Californie du Nord) | US West (Oregon) | AWS GovCloud (US, côte est) | AWS GovCloud (US, côte ouest) | Asie-Pacifique (Taipei) | Asie-Pacifique (Tokyo) | Asie-Pacifique (Séoul) | Asie-Pacifique (Osaka) | Asie-Pacifique (Mumbai) | Asie-Pacifique (Hyderabad) | Asie-Pacifique (Singapour) | Asie-Pacifique (Sydney) | Asie-Pacifique (Jakarta) | Asie-Pacifique (Melbourne) | Asie-Pacifique (Malaisie) | Asie-Pacifique (Thaïlande) | Canada (Centre) | Europe (Francfort) | Europe (Zurich) | Europe (Stockholm) | Europe (Milan) | Europe (Espagne) | Europe (Irlande) | Europe (Londres) | Europe (Paris) | Israël (Tel Aviv) | Moyen-Orient (EAU) | Amérique du Sud (São Paulo) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AI21 Labs | Jamba 1.5 Large |
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| AI21 Labs | Jamba 1.5 Mini |
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| Amazon | Nova Pro |
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| Amazon | Nova Lite |
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| Amazon | Nova Micro |
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| Amazon | Titan Text G1 - Express |
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| Amazon | Titan Embeddings G1 - Text |
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| Amazon | Titan Text Embeddings V2 |
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| Amazon | Rerank 1.0 |
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| Amazon | Nova Canvas |
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| Amazon | Nova Reel |
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| Amazon | Nova Sonic |
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| Amazon | Titan Text G1 - Lite |
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| Amazon | Titan Multimodal Embeddings G1 |
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| Amazon | Titan Image Generator G1 |
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| Amazon | Titan Image Generator G1 v2 |
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| Amazon | Nova Premier |
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| Amazon | Nova Reel |
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| Anthropic | Claude Sonnet 4 |
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| Anthropic | Claude Haiku 4.5 |
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| Anthropic | Claude Sonnet 4.5 |
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| Anthropic | Claude 3 Haiku |
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| Anthropic | Claude 3.5 Sonnet |
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| Anthropic | Claude 3 Sonnet |
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| Anthropic | Claude 3.5 Sonnet v2 |
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| Anthropic | Claude 3.7 Sonnet |
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| Anthropic | Claude Opus 4.1 |
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| Anthropic | Claude 3 Opus |
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| Anthropic | Claude 3.5 Haiku |
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| Anthropic | Claude Opus 4 |
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| Cohere | Embed v4 |
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| Cohere | Embed English |
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| Cohere | Embed Multilingual |
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| Cohere | Rerank 3.5 |
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| Cohere | Command R |
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| Cohere | Command R+ |
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| DeepSeek | DeepSeek-V3.1 |
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| DeepSeek | DeepSeek-R1 |
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| Luma AI | Ray v2 |
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| Meta | Llama 3 70B Instruct |
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| Meta | Llama 3 8B Instruct |
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| Meta | Llama 3.2 3B Instruct |
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| Meta | Llama 3.2 11B Instruct |
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| Meta | Llama 3.1 405B Instruct |
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| Meta | Llama 3.1 70B Instruct |
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| Meta | Llama 3.2 1B Instruct |
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| Meta | Llama 3.2 90B Instruct |
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| Meta | Llama 3.3 70B Instruct |
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| Meta | Llama 4 Scout 17B Instruct |
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| Meta | Llama 4 Maverick 17B Instruct |
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| Meta | Llama 3.1 8B Instruct |
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| Mistral AI | Mistral 7B Instruct |
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| Mistral AI | Mixtral 8x7B Instruct |
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| Mistral AI | Mistral Large (24.02) |
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| Mistral AI | Pixtral Large (25.02) |
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| Mistral AI | Mistral Small (24.02) |
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| Mistral AI | Mistral Large (24.07) |
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| OpenAI | gpt-oss-120b |
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| OpenAI | gpt-oss-20b |
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| Qwen | Qwen3 Coder 480B A35B Instruct |
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| Qwen | Qwen3-Coder-30B-A3B-Instruct |
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| Qwen | Qwen3 32B (dense) |
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| Qwen | Qwen3 235B A22B 2507 |
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| Stability AI | Stable Image Remove Background |
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| Stability AI | Stable Image Style Guide |
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| Stability AI | Stable Image Control Sketch |
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| Stability AI | Stable Image Erase Object |
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| Stability AI | Stable Image Control Structure |
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| Stability AI | Stable Image Search and Recolor |
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| Stability AI | Stable Image Style Transfer |
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| Stability AI | Stable Image Search and Replace |
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| Stability AI | Stable Image Inpaint |
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| Stability AI | Stable Diffusion 3.5 Large |
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| Stability AI | Stable Image Core 1.0 |
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| Stability AI | Stable Image Ultra 1.0 |
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| TwelveLabs | Marengo Embed v2.7 |
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| TwelveLabs | Pegasus v1.2 |
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| Writer | Palmyra X4 |
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| Writer | Palmyra X5 |
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Note
* Certains modèles ne sont accessibles dans certaines régions que par inférence interrégionale. L’inférence interrégionale vous permet de gérer facilement les pics de trafic imprévus à l’aide du calcul entre différentes Régions AWS. Grâce à l’inférence interrégionale, vous pouvez répartir le trafic entre plusieurs Régions AWS. Pour en savoir plus sur l’inférence interrégionale, consultez Augmentez le débit grâce à l’inférence entre régions et Régions et modèles pris en charge pour les profils d’inférence.
Le profil d’inférence interrégional mondial est actuellement pris en charge avec le modèle Anthropic Claude Sonnet 4 uniquement pour les régions source suivantes : USA Ouest (Oregon), USA Est (Virginie du Nord), USA Est (Ohio), Europe (Irlande) et Asie-Pacifique (Tokyo). Les régions de destination du profil d’inférence mondial comprennent toutes les Régions AWS commerciales.
Note
Les régions d’acception dans AWS sont des zones géographiques secondaires qui nécessitent une activation dans Facturation et gestion des coûts AWS avant utilisation, contrairement aux régions standard qui sont automatiquement disponibles. Ces régions sont : Asie-Pacifique (Hyderabad), Afrique (Le Cap), Asie-Pacifique (Hong Kong), Europe (Milan), Europe (Espagne) et Moyen-Orient (Bahreïn).
Lorsque vous utilisez un profil d’inférence interrégional, votre demande d’inférence peut être acheminée vers l’une des régions de destination figurant dans le profil, même si vous n’avez pas activé ces régions dans votre compte. Consultez Activer ou désactiver les régions AWS dans votre compte pour plus d’informations sur l’activation des régions AWS.