AWS Inferentia and AWS Trainium deliver lowest cost to deploy Llama 3 models in Amazon SageMaker JumpStart

This article announces the availability of Meta Llama 3 inference on AWS Trainium and AWS Inferentia-based instances in Amazon SageMaker JumpStart. It highlights the cost effectiveness of using these instances for deploying large language models like Llama 3, offering up to 50% lower cost compared to other EC2 instances.

Specifically, the article covers:

• How to access and discover the Meta Llama 3 models in SageMaker Studio and JumpStart
• No-code deployment of Llama 3 Neuron models using JumpStart
• Deployment using the SageMaker JumpStart SDK, with code examples for simple and customized deployments
• Recommended configurations and instance types for different Llama 3 model variants
• Running inference and cleaning up resources
• Conclusion emphasizing the cost-effectiveness of AWS Trainium and Inferentia for large AI model deployments