×

Register Here

First Name
Last Name
Company Name
Country
CDN Province
US State
India State
AU State
Phone Number
Job Role
Job Title
Industry
Postal Code
This information is associated with my:
Compliance Opt-in
Thank you!
Error - something went wrong!
   

Propel 4 common machine use cases into production

Select and configure your infrastructure for machine learning success

Making the right infrastructure decisions is essential to getting your ML models into production at scale and at optimal cost. But how can you really ensure that you have adequate infrastructure to support the compute, network, and storage needs of common ML use cases? Read Propel 4 Common Machine Learning Use Cases into Production for practical insights for setting-up your infrastructure for computer vision, fraud detection, natural language processing, and recommendations.

  • Learn about successful results from AWS customers after deploying ML applications
  • Get real-world guidance on evaluating your infrastructure and exploring AWS ML infrastructure solutions
  • Discover practical solutions to the common challenges you may face as your team moves from model concept to production
Previous Flipbook
Accelerate machine learning development to build intelligent apps faster
Accelerate machine learning development to build intelligent apps faster

Read the IDC whitepaper to see how AWS and NVIDIA can help your organization bring intelligent applications...

Next Flipbook
Q&A Choosing the right compute infrastructure for machine learning
Q&A Choosing the right compute infrastructure for machine learning

How to optimize your machine learning infrastructure