Deployed on NVIDIA computing platforms, the software enables enterprises to accelerate data pipelines and push the performance boundaries of data and machine learning (ML) workflows to drive faster AI adoption and deliver better business outcomes, without changing any code.
With the release earlier this year of Applied ML Prototypes (AMPs) in CDP and the power of NVIDIA computing, customers like the Internal Revenue Service and the Office for National Statistics UK can not only jumpstart fully packaged ML use cases, but also accelerate data processing and model training at a lower cost across any on-premises, public cloud, or hybrid cloud deployment.
Enterprise data engineers are utilizing data sets on a magnitude and scale never seen before, such as transforming supply chain models, responding to increased levels of fraud, or developing new product lines.
For data scientists, the bottlenecks created by massive amounts of data directly impact the cost and speed at which companies can train and operate models across the organization.
Cloudera and NVIDIA’s integration is expected to give enterprises the ability to quickly respond to emerging and ongoing business challenges and deliver insightful analytics.
“We need to be able to make accurate decisions at speed utilizing vast swathes of data. That challenge is ever-evolving as data volumes and velocities continue to increase,” said Joe Ansaldi, IRS/Research Applied Analytics & Statistics Division (RAAS)/Technical Branch Chief.
“The Cloudera and NVIDIA integration will empower us to use data-driven insights to power mission-critical use cases su ..