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Deep Learning with Nvidia GPUs in Cloudera Machine Learning

Cloudera

In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. Introduction.

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Enabling NVIDIA GPUs to accelerate model development in Cloudera Machine Learning

Cloudera

When working on complex, or rigorous enterprise machine learning projects, Data Scientists and Machine Learning Engineers experience various degrees of processing lag training models at scale. To overcome this, practitioners often turn to NVIDIA GPUs to accelerate machine learning and deep learning workloads. .

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Cloudera Supercharges the Enterprise Data Cloud with NVIDIA

Cloudera

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. In his GTC 2020 keynote , NVIDIA CEO Jensen Huang revealed that NVIDIA and Cloudera are teaming up to accelerate the Cloudera Data Platform.

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NVIDIA RAPIDS in Cloudera Machine Learning

Cloudera

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. RAPIDS on the Cloudera Data Platform comes pre-configured with all the necessary libraries and dependencies to bring the power of RAPIDS to your projects.

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Switching from CPUs to GPUs for NYC Taxi Fare Predictions with NVIDIA RAPIDS

Cloudera

One of the best ways to make a substantial improvement in processing time is to, if you haven’t already, switched from CPUs to GPUs. Thanks to pioneers like Andrew NG and Fei-Fei Li, GPUs have made headlines for performing particularly well with deep learning techniques. In fact only 43.2% In fact only 43.2%

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Data Governance and Strategy for the Global Enterprise

Cloudera

Some organizations are choosing to confront these challenges with the help of tools like machine learning (ML) and artificial intelligence (AI) to automate, streamline, and scale compliance. . It is pretty impressive just how much has changed in the enterprise machine learning and AI landscape. People selling information.