Today, we are launching Amazon SageMaker inference on AWS Graviton to enable you to take advantage of the price, performance, and efficiency benefits that come from Graviton chips.
Graviton-based instances are available for model inference in SageMaker. This post helps you migrate and deploy a machine learning (ML) inference workload from x86 to Graviton-based instances in SageMaker. We provide a step-by-step guide to deploy your SageMaker trained model to Graviton-based instances, cover best practices when working with Graviton, discuss the price-performance benefits, and demo how to deploy a TensorFlow model on a SageMaker Graviton instance.
Brief overview of Graviton
AWS Graviton is a family of processors designed by AWS that provide the best price-performance and are more energy efficient than their x86 counterparts. AWS Graviton 3 processors are the latest in the Graviton processor family and are optimized for ML workloads, including support for bfloat16, and twice the Single Instruction

Continue reading



At FusionWeb, we aim to look at the future through the lenses of imagination, creativity, expertise and simplicity in the most cost effective ways. All we want to make something that brings smile to our clients face. Let’s try us to believe us.