BlueData Adds New Innovations for Docker Containers, Deep Learning and More

BlueData, provider of a Big-Data-as-a-Service (BDaaS) software platform, is enhancing its BlueData EPIC platform and extending the solution to 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.

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.

New features include streamlined operations for deep learning projects; support for GPU acceleration and TensorFlow, BigDL for disturbed deep learning on Spark, flexible container policies, improved utilization and performance for big data workloads, support for Intel cache acceleration and SSD technology, and enhanced container-level monitoring.

Effective immediately, BlueData is also announcing directed availability for Azure and GCP. BlueData announced a similar directed availability program for AWS last summer, with general availability for AWS introduced in December. And this past spring, BlueData added support for Big-Data-as-a-Service in a hybrid architecture with a unified solution across both on-premises and AWS environments.

With this new directed availability program, BlueData can support standalone deployments on all three major public cloud services as well as hybrid deployments where some hosts are on-premises and some hosts (i.e. virtual machines) are on the cloud with network connectivity. By using host tags, customers can leverage a single hybrid deployment to place Big Data clusters on on-premises hosts (either physical servers or virtual machines) or on cloud-based virtual machines -- on AWS, Azure, and/or GCP.

"BlueData continues to introduce new innovations for deploying Big Data workloads in Docker containers, including support for the growing ecosystem of data science and deep learning tools," said Kumar Sreekanti, CEO of BlueData. "And by extending from on-premises to AWS and now Google Cloud Platform and Microsoft Azure, we're delivering on our vision of running on any infrastructure -- whether on-prem or cloud. BlueData is the only Big-Data-as-a-Service solution for enterprises that want a hybrid and multi-cloud deployment."

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