Security News > 2021 > April > Cloudera partners with NVIDIA to make AI-fueled business transformation a reality

Cloudera partners with NVIDIA to make AI-fueled business transformation a reality
2021-04-13 23:30

Deployed on NVIDIA computing platforms, the software enables enterprises to accelerate data pipelines and push the performance boundaries of data and machine learning 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 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.

"Our collaboration with NVIDIA will give customers the rocket fuel they need to better understand their data and realize the true transformational potential of AI," said Arun Murthy, Chief Product Officer, Cloudera.

"CDP analytic experiences are purpose-built to enable data specialists to confidently navigate the storm of both exponential data growth and siloed data analytics, operating across multiple public and private clouds."

"Deepening our existing integration with NVIDIA is a natural next step for us. Our customers will be able to maintain the competitive edge they already have by using our enterprise data cloud services."

"Apache Spark is a cornerstone of the machine learning and data analytics pipelines enterprises rely on to remain competitive," said Scott McClellan, Senior Director, Data Science Product Group at NVIDIA. "The processing power of NVIDIA-accelerated computing and Spark analytics running on Cloudera Data Platform provides the flexibility to meet deadlines when time is of the essence, and save on costs when the bottom line is most important."


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VENDOR LAST 12M #/PRODUCTS LOW MEDIUM HIGH CRITICAL TOTAL VULNS
Nvidia 289 82 214 235 16 547
Cloudera 12 9 38 3 0 50