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How to Use Intel®-Optimized AI Software in the Cloud

@IntelDevTools

 

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Overview

The most popular cloud service providers (CSP) and Intel have long partnered to deliver state-of-the-art, cloud-based solutions spanning AI, HPC, confidential computing, and more for individuals and enterprises alike.

This session focuses on AI solutions.

Learn how to enable and use Intel®-optimized deep learning and classical machine learning frameworks and libraries in Amazon Web Services (AWS)*, Google Cloud Platform* service, Microsoft Azure*, and Intel® Tiber™ AI Cloud.

This session covers:

  • An introduction to Intel’s free, open source AI software development tools
  • How to enable these tools in the various cloud platforms
  • An overview of the available Intel hardware available in the CSPs

Skill level: Intermediate

 

Featured Software

Get stand-alone versions of the following tools or through a prebundled AI Tools and Frameworks package:

  • PyTorch* Optimizations from Intel
  • TensorFlow* Optimizations from Intel
  • Intel® Extension for Scikit-learn* (GitHub*)
  • Intel® Optimization for XGBoost*

 

Get an Intel® Tiber™ AI Cloud Account

Some of the featured demos are done on Intel’s cloud-based development environment. If you don’t have an account, get an introductory one for free.

 

Download Code Samples

  • Get Started: Intel® Extension for PyTorch*
  • Get Started: Intel® Extension for TensorFlow*
  • Get Started: Intel Optimization for XGBoost

See All Code Samples

 

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