The success of data engineering and data science projects often hinges on the ability for platforms to curate and process massively growing amounts of data. While CPU-based computing frameworks are useful for serial workloads, delivering results from large, complex big data continues to be a challenge for enterprise organizations.
For modern data workflows, data science teams need a robust platform that facilitates collaboration and accelerates their time to insight. In this session you will learn:
How Cloudera Data Platform (CDP), supercharged with NVIDIA GPUs, enables the full data lifecycle of data from ingest, preparation, analytics to machine learning and applications.
The best practices and approaches to using GPUs across both public, private, and hybrid cloud deployments
- How NVIDIA GPUs on CDP enables a fast and robust computation backbone through the entire ML workflow.
