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!