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BlueData Adds Deep Learning, GPU Acceleration for Big Data Workloads on Docker Containers

By   /  October 3, 2017  /  No Comments

by Angela Guess

According to a recent press release, “BlueData®, provider of the leading Big-Data-as-a-Service (BDaaS) software platform, today announced the new fall release for BlueData EPIC™ and introduced initial availability on Google Cloud Platform (GCP) and Microsoft Azure. This release adds new innovations and options for running Hadoop, Spark, and other Big Data workloads on Docker containers — delivering on the requirements from its rapidly growing customer base, including many of the world’s largest enterprises across multiple industries.”

The release goes on, “In recognition of its innovations for running Big Data workloads in containerized environments, BlueData just won the 2017 Datanami Editors’ Choice Award for Best Big Data Product: Virtualization. This new fall release builds on the innovative functionality introduced in BlueData EPIC version 3.0, with support for deep learning use cases, GPU support, and flexible container placement policies. And by extending availability of BlueData EPIC from Amazon Web Services (AWS) to Azure and GCP, BlueData is the first and only BDaaS solution that can be deployed on-premises, in the public cloud, or in hybrid and multi-cloud architectures.”

It continues, “Earlier this year, BlueData added new capabilities to bring DevOps agility to distributed data science operations and machine learning use cases. The new fall release of the BlueData EPIC software platform provides the ability to jumpstart an even broader range of applications and use cases, including deep learning.”

Read more at Marketwired.

Photo credit: BlueData

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