Gemma-4-E2B-it model available in Amazon SageMaker JumpStart
Amazon SageMaker JumpStart now offers Google DeepMind's Gemma-4-E2B-it, a multimodal, instruction-tuned foundation model. This model supports text, image, and audio input, generating text output and featuring advanced reasoning capabilities for building AI applications on AWS. It's accessible with a few clicks via SageMaker Studio or the Python SDK, allowing customers to deploy it for various AI use cases.
- →Gemma-4-E2B-it multimodal model available on SageMaker JumpStart
- →Simplified deployment of Gemma-4-E2B-it for AI applications
Features (1) ›
- Gemma-4-E2B-it multimodal model available on SageMaker JumpStart
Amazon SageMaker JumpStart now includes Google DeepMind's Gemma-4-E2B-it, a multimodal model capable of processing text, image, and audio input. This model can generate text output, offers a reasoning mode, and supports various AI tasks like object detection, document parsing, function calling, and code generation across multiple languages.
Enhancements (1) ›
- Simplified deployment of Gemma-4-E2B-it for AI applications
Customers can easily deploy the Gemma-4-E2B-it model through Amazon SageMaker JumpStart with minimal effort. Deployment is accessible via SageMaker Studio or the SageMaker Python SDK, enabling users to quickly integrate this model into their AWS infrastructure for specific AI use cases.
https://aws.amazon.com/about-aws/whats-new/2026/07/gemma-4-e2b-on-sagemaker-jumpstart/