Accelerate ML Adoption with AWS

Amazon EC2 DL1 instances offer optimal price performance
for training deep learning models

IDC forecasts that spend on infrastructure to power AI/ML solutions will increase from $14.6 billion in 2020 to about $30.5 billion in 2024.

Read this IDC whitepaper for a closer look at the most common challenges in deploying your AI/ML applications and learn what makes AWS an ideal partner for ML application development and deployment at scale. Discover how your organization can benefit from:

  • New high-performance and cost-efficient Amazon EC2 DL1 instances powered by Gaudi accelerators by Habana Labs, for training deep learning models
  • Getting started easily with powerful managed services such as Amazon SageMaker
  • A lower barrier to entry to using the cloud to scale ML applications and innovate faster
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AWS Q&A Choosing the right compute infrastructure for machine learning
AWS Q&A Choosing the right compute infrastructure for machine learning

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Accelerate Machine Learning Development to Build Intelligent Applications Faster
Accelerate Machine Learning Development to Build Intelligent Applications Faster