Llama 2 Inference and Fine-Tuning Support Now Available on AWS Trainium and AWS Inferentia Instances in Amazon SageMaker JumpStart
Main Ideas:
- Llama 2 inference and fine-tuning support is now accessible on AWS Trainium and AWS Inferentia instances in Amazon SageMaker JumpStart.
- Using AWS Trainium and Inferentia based instances can reduce fine-tuning costs by up to 50% and deployment costs by 4.7 times.
- The technology helps in decreasing per token latency.
Author’s Take:
The availability of Llama 2 inference and fine-tuning support on AWS Trainium and AWS Inferentia instances in Amazon SageMaker JumpStart brings cost and performance benefits to users by reducing fine-tuning and deployment costs while decreasing latency. This further strengthens AWS’s position as a leading provider of AI infrastructure and services.