Skip to main content

​
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.

​
Quick Platform Overview

PlatformManagedSelf-DeployLatest Version
AI21 SaaS✅-2
HuggingFace-✅2
Kaggle-✅1.7
GCP Model Garden-✅1.6
Microsoft Azure-✅1.5
AWS SageMaker-✅1.5
AWS Bedrock✅-1.5

​
HuggingFace

Jamba Large 1.7

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

Jamba2 Mini

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

Jamba2 3B

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

​
Kaggle

Jamba 1.7

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

​
Google Cloud Platform (GCP)

​
Self-Deployment

Jamba Large 1.6

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

​
Coming Soon

Jamba Mini 1.6

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

​
Microsoft

​
Self-Deployment

Jamba Large 1.5

Platform: Microsoft Foundry (Self-Deploy)
Best for: ML Engineers, Custom infrastructure, on-premises deployment

​
Amazon Web Services (AWS)

​
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

​
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

​
Coming Soon

Jamba Large 1.6

Platform: AWS Bedrock
Status: Coming Soon 🔄

Jamba Mini 1.6

Platform: AWS Bedrock
Status: Coming Soon 🔄

​
Interested in Self-Deploy?

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