Meta’s Llama 4 Models Now Available on AWS
Amazon Web Services (AWS) has announced the launch of Meta’s Llama 4 models, accessible via Amazon SageMaker JumpStart. These models are set to revolutionize the capabilities of artificial intelligence through their advanced multimodal features.

This latest release includes the Llama 4 Scout 17B and Llama 4 Maverick 17B models, both equipped with the ability to process text and image inputs effectively. Notably, these models come with improved context windows, allowing them to handle significantly larger amounts of information, enhancing their performance compared to previous iterations.
Expanding Model Choices
The introduction of the Llama 4 models demonstrates AWS’s commitment to providing a wide array of AI solutions. With these new additions, customers can efficiently build, deploy, and scale applications that utilize cutting-edge AI technologies. AWS plans to make these models available as fully managed, serverless options in Amazon Bedrock soon.
Significance of the Llama 4 Models
The new Llama 4 Scout 17B can process up to 10 million tokens at once—almost 80 times more than previous Llama models—allowing for efficient document summarization and complex analysis tasks. Meanwhile, Llama 4 Maverick 17B is designed to excel in multimedia understanding across multiple languages, appealing to developers aimed at creating sophisticated applications.
Understanding the Technology
Both models utilize a unique mixture of experts (MoE) architecture, which activates different parts of the model based on the task at hand. This design facilitates efficient operation and reduced computation costs, providing businesses with powerful tools without the need for extensive resource investment.
The Future of AI with AWS
AWS remains at the forefront of AI advancements by continually introducing new models from leading companies. The Llama 4 models signify a crucial step in empowering users to harness the potential of generative AI across various sectors.
Getting Started
Users can begin exploring the capabilities of Llama 4 models by visiting the Amazon SageMaker AI console.