In a recent press release, “BlueData®, provider of the leading Big-Data-as-a-Service (BDaaS) software platform, 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 while sharing access to a common data lake.”
Read more at Globe Newswire.
Photo credit: BlueData