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Regione e modelli supportati per il throughput assegnato
Se acquisti throughput assegnato tramite l’API di Amazon Bedrock, devi specificare una variante contestuale dei modelli di fondazione di Amazon Bedrock per l’ID modello.
Nota
Provisioned Throughput è supportato in AWS GovCloud (US-West) solo per i modelli personalizzati con un acquisto senza impegno. Utilizza l’ID di un modello personalizzato quando acquisti il throughput assegnato per il modello stesso.
La tabella seguente mostra i modelli per i quali è possibile acquistare Provisioned Throughput, l'ID del modello da utilizzare per l'acquisto di Provisioned Throughput e i modelli Regioni AWS in cui è possibile acquistare Provisioned Throughput per il modello.
| Provider | Modello | ID modello | Single-region supporto del modello |
|---|---|---|---|
| Amazon | Nova 2 Lite | amazon.nova-2-lite-v1:0:256k |
us-east-1 |
| Amazon | Nova Canvas | amazon.nova-canvas-v1:0 |
us-east-1 |
| Amazon | Nova Lite | amazon.nova-lite-v 1:0:24k |
us-east-1 |
| Amazon | Nova Lite | amazon.nova-lite-v1:0:300k |
us-east-1 |
| Amazon | Nova Micro | amazon.nova-micro-v1:0:128k |
us-east-1 |
| Amazon | Nova Micro | amazon.nova-micro-v 1:0:24k |
us-east-1 |
| Amazon | Nova Pro | amazon.nova-pro-v 1:0:24k |
us-east-1 |
| Amazon | Nova Pro | amazon.nova-pro-v1:0:300k |
us-east-1 |
| Amazon | Titan Embeddings G1 - Text | amazon.titan-embed-text-v1:2:8k |
us-east-1 us-west-2 |
| Amazon | Titan Image Generator G1 v2 | amazon.titan-image-generator-v2:0 |
us-east-1 us-west-2 |
| Amazon | Titan Multimodal Embeddings G1 | amazon.titan-embed-image-v1:0 |
ap-south-1 ap-southeast-2 ca-central-1 eu-central-1 eu-west-1 eu-west-2 eu-west-3 sa-east-1 us-east-1 us-west-2 |
| Anthropic | Claude | anthropic.claude-v2:0:100k |
us-east-1 us-west-2 |
| Anthropic | Claude | anthropic.claude-v2:0:18k |
us-east-1 us-west-2 |
| Anthropic | Claude | anthropic.claude-v2:1:18k |
eu-central-1 us-east-1 us-west-2 |
| Anthropic | Claude | anthropic.claude-v 2:1:200k |
eu-central-1 us-east-1 us-west-2 |
| Anthropic | Claude 3 Haiku | anthropic.claude-3-haiku-20240307-v1:0:200k |
ap-southeast-2 eu-west-3 us-east-1 us-west-2 |
| Anthropic | Claude 3 Haiku | anthropic.claude-3-haiku-20240307-v 1:0:48k |
ap-south-1 ap-southeast-2 eu-west-1 eu-west-3 us-east-1 us-west-2 |
| Anthropic | Claude 3 Sonnet | anthropic.claude-3-sonnet-20240229-v 1:0:200 k |
ap-southeast-2 eu-west-1 eu-west-3 us-east-1 us-west-2 |
| Anthropic | Claude 3 Sonnet | anthropic.claude-3-sonnet-20240229-v 1:0:28 k |
ap-south-1 ap-southeast-2 eu-west-1 eu-west-3 us-east-1 us-west-2 |
| Anthropic | Claude 3.5 Sonetto | anthropic.claude-3-5-sonnet-20240620-v 1:0:18 k |
us-west-2 |
| Anthropic | Claude 3.5 Sonetto | anthropic.claude-3-5-sonnet-20240620-v 1:0:200 k |
us-west-2 |
| Anthropic | Claude 3.5 Sonetto | anthropic.claude-3-5-sonnet-20240620-v 1:0:51 k |
us-west-2 |
| Anthropic | Claude 3.5 Sonnet v2 | anthropic.claude-3-5-sonnet-20241022-v 2:0:18 k |
us-west-2 |
| Anthropic | Claude 3.5 Sonnet v2 | anthropic.claude-3-5-sonnet-20241022-v 2:0:200 k |
us-west-2 |
| Anthropic | Claude 3.5 Sonnet v2 | anthropic.claude-3-5-sonnet-20241022-v 2:0:51 k |
us-west-2 |
| Anthropic | Claude Instant | anthropic.claude-instant-v 1:2:100k |
us-east-1 us-west-2 |
| Cohere | Embed English | cohere.embed-italiano-v 3:0:512 |
ca-central-1 eu-west-2 eu-west-3 sa-east-1 us-east-1 us-west-2 |
| Cohere | Embed Multilingual | cohere.embed-multilingue-v 3:0:512 |
ca-central-1 eu-west-2 eu-west-3 sa-east-1 us-east-1 us-west-2 |
| Meta | Llama 3.1 70B Instruct | meta.llama3-1-70b-instruct-v1:0:128k |
us-west-2 |
| Meta | Llama 3.1 8B Instruct | meta.llama3-1-8b-instruct-v1:0:128k |
us-west-2 |
| Meta | Llama 3.2 11B Instruct | meta.llama3-2-11b-instruct-v 1:0:128k |
us-west-2 |
| Meta | Llama 3.2 1B Instruct | meta.llama3-2-1b-instruct-v1:0:128k |
us-west-2 |
| Meta | Llama 3.2 3B Instruct | meta.llama3-2-3b-instruct-v1:0:128k |
us-west-2 |
| Meta | Llama 3.2 90B Instruct | meta.llama3-2-90b-instruct-v 1:0:128k |
us-west-2 |
Nota
I seguenti modelli non supportano acquisti senza impegno per il modello base:
-
Titan Image Generator G1 V1
-
Titan Image Generator G1 V2
