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Avoid Bottlenecks in distributed Deep Learning pipelines with Horovod

Avoid Bottlenecks in distributed Deep Learning pipelines with Horovod

Categories: Data Science | Tags: GPU, Deep Learning, Horovod, Keras, TensorFlow

The Deep Learning training process can be greatly speed up using a cluster of GPUs. When dealing with huge amounts of data, distributed computing quickly becomes a challenge. A common obstacle whichā€¦

GrƩgor JOUET

By GrƩgor JOUET

Nov 15, 2019

Nvidia and AI on the edge

Nvidia and AI on the edge

Categories: Data Science | Tags: Caffe, GPU, NVIDIA, AI, Deep Learning, Edge computing, Keras, PyTorch, TensorFlow

In the last four years, corporations have been investing a lot in AI and particularly in Deep Learning and Edge Computing. While the theory has taken huge steps forward and new algorithms are inventedā€¦

Yliess HATI

By Yliess HATI

Oct 10, 2018

Deep learning on YARN: running Tensorflow and friends on Hadoop cluster

Deep learning on YARN: running Tensorflow and friends on Hadoop cluster

Categories: Data Science | Tags: GPU, Hadoop, MXNet, Spark, Spark MLlib, YARN, Deep Learning, PyTorch, TensorFlow, XGBoost

With the arrival of Hadoop 3, YARN offer more flexibility in resource management. It is now possible to perform Deep Learning analysis on GPUs with specific development environments, leveragingā€¦

Louis BIANCHERIN

By Louis BIANCHERIN

Jul 24, 2018

YARN and GPU Distribution for Machine Learning

YARN and GPU Distribution for Machine Learning

Categories: Data Science, DataWorks Summit 2018 | Tags: GPU, YARN, Machine Learning, Neural Network, Storage

This article goes over the fundamental principles of Machine Learning and what tools are currently used to run machine learning algorithms. We will then see how a resource manager such as YARN can beā€¦

GrƩgor JOUET

By GrƩgor JOUET

May 30, 2018

TensorFlow on Spark 2.3: The Best of Both Worlds

TensorFlow on Spark 2.3: The Best of Both Worlds

Categories: Data Science, DataWorks Summit 2018 | Tags: Mesos, C++, CPU, GPU, Tuning, Spark, YARN, JavaScript, Keras, Kubernetes, Machine Learning, Python, TensorFlow

The integration of TensorFlow With Spark has a lot of potential and creates new opportunities. This article is based on a conference seen at the DataWorks Summit 2018 in Berlin. It was about the newā€¦

Yliess HATI

By Yliess HATI

May 29, 2018

Apache Hadoop YARN 3.0 ā€“ State of the union

Apache Hadoop YARN 3.0 ā€“ State of the union

Categories: Big Data, DataWorks Summit 2018 | Tags: GPU, Hortonworks, Hadoop, HDFS, MapReduce, YARN, Cloudera, Data Science, Docker, Release and features

This article covers the ā€Apache Hadoop YARN: state of the unionā€ talk held by Wangda Tan from Hortonworks during the Dataworks Summit 2018. What is Apache YARN? As a reminder, YARN is one of the twoā€¦

Lucas BAKALIAN

By Lucas BAKALIAN

May 31, 2018

Mesos Introduction

Mesos Introduction

Categories: Containers Orchestration, Open Source Summit Europe 2017 | Tags: Mesos, GPU, Container Orchestration, CUDA, Data Science, Docker

Apache Mesos is an open source cluster management project designed to implement and optimize distributed systems. Mesos enables the management and sharing of resources in a fine and dynamic wayā€¦

Louis BIANCHERIN

By Louis BIANCHERIN

Nov 15, 2017

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