Today, AWS announced the availability of gemma-4-E2B-it in Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. This model from Google DeepMind is a multimodal, instruction-tuned model optimized for efficient local execution, enabling customers to build capable AI applications on AWS infrastructure.
Gemma-4-E2B-it processes text, image, and audio input and generates text output, with a built-in reasoning mode that lets the model think step-by-step before answering. It offers image understanding including object detection, document parsing, screen and UI understanding, chart comprehension, and OCR; video understanding; native function calling for agentic workflows; code generation, completion, and correction; and multilingual support across dozens of languages.
With SageMaker JumpStart, customers can deploy this model with just a few clicks to address their specific AI use cases. To get started with this model, navigate to the Models section of SageMaker Studio or use the SageMaker Python SDK to deploy the model to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.
Categories: general:products/amazon-sagemaker-jumpstart,marketing:marchitecture/artificial-intelligence,general:products/aiml,general:products/amazon-sagemaker
Source: Amazon Web Services
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