NVIDIA and Cloudera release a blueprint for GPU-accelerated machine learning

This new whitepaper offers expert insights on how to deploy machine learning at scale by executing analytics workloads on NVIDIA GPUs through Cloudera Data Platform.

Using a typical machine learning use case—understanding customer churn—this blueprint shows an end-to-end solution geared for superior performance and business impact.

This paper will cover:

  • An overview of ML application architecture
  • How to synthesize data at scale
  • How data federation works
  • Reporting and exploratory analytics
  • Best practices for accelerated analytics
  • Interoperability considerations
  • How to scale up and out across data science workflows
  • How to use ML to make an impact on your business

With a perspective that focuses on enterprise levels of performance, this blueprint illuminates ways to solve the many challenges of running ML at scale.



Request Free!