TMCnet News
BlueData Introduces New Innovations for AI and Machine Learning in Hybrid or Multi-Cloud DeploymentsSANTA CLARA, Calif., June 19, 2018 (GLOBE NEWSWIRE) -- BlueData®, provider of the leading Big-Data-as-a-Service (BDaaS) software platform, today announced the new summer release for BlueData EPIC™. This release builds upon BlueData’s innovations in running large-scale distributed analytics and machine learning (ML) workloads on Docker containers, with new functionality to deliver even greater agility and cost savings for enterprise Big Data and AI initiatives. Last spring, BlueData introduced support for hybrid cloud environments – leveraging the inherent infrastructure portability and flexibility of Docker containers. This past fall, BlueData delivered a major new release that added deep learning (DL), GPU acceleration, and multi-cloud support to the container-based BlueData EPIC platform. And last month, BlueData announced a new turnkey solution to accelerate AI and ML / DL deployments in the enterprise. This summer release is the result of collaboration with BlueData’s enterprise customers to develop new functionality in each of these areas to support their Big Data and AI initiatives – as they extend well beyond Hadoop and Spark to a range of different ML / DL and data science workloads, and beyond on-premises infrastructure to public cloud and hybrid architectures. These customer-driven innovations provide the agility of containers and elasticity of cloud computing, while ensuring enterprise-class security and reducing costs with automation. Now BlueData customers can benefit from AI-as-a-Service and ML-as-a-Service capability for their enterprise deployments – whether on-premises, in multiple public clouds, or in a hybrid model. One of the key concepts underpinning this new release is the separation of compute and storage for Big Data and ML / DL workloads. This is a fundamental tenant of the BlueData EPIC architecture, and it allows organizations to deploy multiple containerized compute clusters for different workloads (e.g., Spark, Kafka, Tensorflow) while sharing access to a common data lake. This also enables hybrid and multi-cloud implementations, with the ability to mix and match compute/storage resources (whether on- or off-premises) depending upon the nature of the workload. And it provides the ability to scale and optimize compute resources independent from data storage – delivering greater flexibility, improving resource efficiency, eliminating data duplication, and reducing cost through the reuse of existing storage investments. Building upon these prior releases and this architectural foundation, the summer release of the BlueData EPIC software platform provides several new features and benefits such as:
“At BlueData, we’ve been in the fortunate position of helping many of the world’s largest and most well-respected enterprises on their Big Data journeys,” said Kumar Sreekanti, co-founder and CEO of BlueData. “Now we’re working with these and other new customers to advance their AI implementations. In some cases, these organizations are leveraging their existing investments in Big Data technology – and in other cases, they’re embarking on new AI initiatives with ML / DL applications. This new release provides these customers with innovative functionality to deliver faster time-to-value, greater agility, and lower TCO for their Big Data and AI deployments.” You can see a demo of the new BlueData EPIC summer release at the DataWorks Summit in San Jose, Calif., this week in booth S5. At the event, you can also learn more about running stateful Big Data applications on containers by joining the session “What’s the Hadoop-la about Kubernetes?” with BlueData’s vice president of products, Anant Chintamaneni, and director of solutions management, Nanda Vijaydev, at 4:50pm today Tuesday, June 19. The summer release of BlueData EPIC will be generally available in the third quarter of 2018. Supporting Resources Blog post: Containerization for Big Data and Machine Learning -------- About BlueData Software, Inc. Press Contact |