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Where to Find AI21’s Jamba Models

AI21’s Jamba models are available across multiple leading cloud platforms and model hubs. Choose the platform that best fits your infrastructure and deployment needs.

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Quick Platform Overview

PlatformManagedSelf-DeployLatest Version
AWS Bedrock✅-1.5
AWS SageMaker-✅1.5
GCP Model Garden-✅1.6
Microsoft Azure-✅1.5
HuggingFace-✅1.7
Kaggle-✅1.7

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Amazon Web Services (AWS)

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Managed Services

Jamba Large 1.5

Platform: AWS Bedrock (Managed)
Best for: Enterprise AWS users, serverless applications, pay-per-use pricing

Jamba Mini 1.5

Platform: AWS Bedrock (Managed)
Best for: Enterprise AWS users, serverless applications, pay-per-use pricing

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Self-Deployment

Jamba Large 1.5

Platform: AWS SageMaker
Best for: ML Engineers, Custom infrastructure, on-premises deployment

Jamba Mini 1.5

Platform: AWS SageMaker
Best for: ML Engineers, Custom infrastructure, on-premises deployment

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Coming Soon

Jamba Large 1.6

Platform: AWS Bedrock
Status: Coming Soon 🔄

Jamba Mini 1.6

Platform: AWS Bedrock
Status: Coming Soon 🔄

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Google Cloud Platform (GCP)

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Self-Deployment

Jamba Large 1.6

Platform: GCP Model Garden (Self-Deploy)
Best for: ML Engineers, Custom infrastructure, on-premises deployment

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Coming Soon

Jamba Mini 1.6

Platform: GCP Model Garden (Self-Deploy)
Status: Coming Soon 🔄

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HuggingFace

Jamba Large 1.7

Platform: HuggingFace
Best for: Research, open-source projects, local development, fine-tuning

Jamba Mini 1.7

Platform: HuggingFace
Best for: Research, open-source projects, local development, fine-tuning

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Kaggle

Jamba 1.7

Platform: Kaggle
Best for: Research, open-source projects, local development, fine-tuning

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Interested in Self-Deploy?

For self-deployment on your own infrastructure, check out our vLLM deployment guide for step-by-step instructions and examples.