Intel and Amazon Web Services

United by a passion for delivering constant innovation, Amazon Web Services (AWS) and Intel have developed a variety of resources and technologies for high performance computing, big data, artificial intelligence and the Internet of Things.

The challenges associated with operating AI workloads at scale have been reduced in the cloud, and it’s never been easier or more cost-effective to collect data, store it, and build custom machine learning and deep learning models. AWS C5 instances, with the computational power of Intel® Xeon® Scalable processors, enable customers to create intelligent and innovative new products and experiences, powered by machine learning. AWS gives users access to Intel-optimized images for TensorFlow and Intel® Performance Libraries to enhance application performance. Intel and AWS are working together to make AI simple, accessible and fast. Today, businesses deploy more AI workloads on AWS than any other platform.

Featured AWS + Intel Solutions

AWS and Intel have a long history of developing custom cloud solutions, including Amazon EC2 instances based on Intel® Xeon® Scalable processors supported by a full range of AWS Marketplace software tools, and innovative developer tools like DeepRacer to kick start reinforcement learning (RL). Learn more about the latest AWS and Intel solutions at the links below.

Spotlight On AWS Deepracer

AWS DeepRacer is a 1/18th scale race car which gives users an interesting and fun way to get started with reinforcement learning (RL), an advanced machine learning (ML) technique. Under the hood, DeepRacer is driven by an Intel Atom® processor.

How to Get Started on AWS

You can launch a Linux instance using the AWS Management Console as described in the following procedure. This tutorial is intended to help you launch your first instance quickly, so it doesn’t cover all possible options. For more information about the advanced options, see Launching an Instance.

To Launch an Instance:

  1. Open the Amazon EC2 console at
  2. From the console dashboard, choose Launch Instance.
  3. The Choose an Amazon Machine Image (AMI) page displays a list of basic configurations, called Amazon Machine Images (AMIs), that serve as templates for your instance. Select an HVM version of Amazon Linux 2. Notice that these AMIs are marked “Free tier eligible.”
  4. On the Choose an Instance Type page, select C3.18xlarge instance type.
  5. Choose Review and Launch to let the wizard complete the other configuration settings for you.
  6. Select your security group from the list of existing security groups, and then choose Review and Launch.
  7. On the Review Instance Launch page, choose Launch.

Case Studies

Thorn Uses Facial Recognition Technology…

Using the compute power of Intel® Xeon® Scalable processors in C5, Thorn is able to match thousands of faces per second to identify trafficking victims…

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The World Bank Uses AWS Image Recognition…

World Bank Development Data Group utilized Intel’s BigDL framework (a distributed deep-learning library for Apache Spark) and an AWS Databricks…

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Zignal Labs perform Next-Level Sentiment…

Zignal Labs performs nuanced sentiment analysis on billions of stories per month using AWS. Zignal Labs offers solutions that analyze the entire…

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Contact Us

Questions on how your enterprise can leverage the Intel-AWS relationship to get started in the cloud with Intel architecture, contact Interested in contributing to and learning more about Intel’s optimized open-source ML/DL packages, frameworks and libraries, contact

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