AWS Trainium and Inferentia instances now support Llama 2 inference and fine-tuning
Main ideas:
- AWS Trainium and Inferentia instances now support Llama 2 inference and fine-tuning through Amazon SageMaker JumpStart.
- Using Trainium and Inferentia instances can lower fine-tuning costs by up to 50% and deployment costs by 4.7x, while reducing per token latency.
Author’s Take:
The availability of Llama 2 inference and fine-tuning support on AWS Trainium and Inferentia instances in Amazon SageMaker JumpStart provides users with a cost-effective solution for machine learning tasks. With reduced costs and improved performance, developers can leverage these instances to optimize their AI models and streamline their deployment processes.