Name: Amazon Elastic Inference
Author: Amazon AWS

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Amazon Elastic Inference allows users to attach just the right amount of GPU-powered inference acceleration to any Amazon EC2 instance, Amazon SageMaker instance, or ECS task. Users pay for the accelerator hours used. It is designed to be used with AWS’s enhanced versions of TensorFlow Serving, Apache MXNet and PyTorch, which automatically detect the presence of inference accelerators, and optimally distribute the model operations between the accelerator’s GPU and the instance’s CPU.

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Amazon Elastic Inference

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

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In most deep learning applications, making predictions using a trained model with a process known as inference, can drive as much as 90% of the compute costs of the application. While Amazon Elastic Inference solves this problem by allowing you to attach just the right amount of GPU-powered inference acceleration to any EC2 and reduce costs on Inferencing, using EC2 Spot with Elastic Inference can further reduce your compute costs up to 90%. In this tech talk, we'll discuss cost optimization of Amazon Elastic Inference running with Amazon EC2 Spot instances and walk through the best practices by using CloudFormation and launch templates for build automation.

Learning Objectives:
 - Optimize compute cost for Inference workloads
 - Demo and walk through the deployment of Elastic Inference with EC2 Spot instances

 - Best practices and recommendations on using Elastic Inference with EC2 Spot instances


Learn More: 

https://aws.amazon.com/ec2/spot/

Reduce Inferencing Cost by Up to 90% Using Amazon Elastic Inference and Amazon EC2 Spot Instances

"PyTorch To Build NLP Models Using Amazon SageMaker and Amazon Elastic Inference" by: Suman Debnath

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Amazon Elastic Inference

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What is Amazon Elastic Inference?