HPE Ezmeral provides edge to cloud solutions for data scientists, developers, and IT with an industrialized, enterprise-ready platform for driving AI, ML, and data-intensive workloads at scale
Hewlett Packard Enterprise (HPE) announced advancements to the HPE Ezmeral software portfolio, with new products and partnerships designed to help organiSations unify access to data, from edge to cloud, to fuel their digital transformation initiatives.
Together, the HPE Ezmeral portfolio provides customers with an end-to-end hybrid cloud analytics platform that improves quality, repeatability, throughput, and time to value for their AI/ML, analytics and data-intensive workloads. The updates include the following:
· HPE Ezmeral Data Fabric – Now available as a standalone offering in addition to being available as an integrated component of the HPE Ezmeral Container Platform and HPE Ezmeral Machine Learning Operations (MLOps). The HPE Ezmeral Data Fabric brings a persistent storage layer to streamline the entire machine learning model lifecycle across on-premises, public cloud, hybrid cloud, and edge environments
· A new HPE Ezmeral Technology Ecosystem program, which includes industry leading ISVs such as Dataiku, MinIO, H2O.AI, Rapt.AI, Run:AI, Sysdig, and Unravel, that have validated their applications on HPE Ezmeral, allowing customers to more rapidly create streamlined analytics environments
· A new HPE Ezmeral Marketplace available to customers that brings the top ISVs and open source projects such as Apache Spark, Tensorflow, and many more, to enterprises looking to modernize their workloads to be cloud-native
Dataiku CEO Florian Douetteau said the HPE Ezmeral Marketplace allows the company to connect with enterprises embarking on modernising their data analytics and data science workloads.
Data analytics
“The combination of Dataiku with the HPE Ezmeral software will help our customers to successfully scale and operationalise their machine learning projects, delivering real impact for their business,” said Florian Douetteau.
Enterprises are looking to mature their data analytics capabilities and processes to build an analytics factory that can rapidly create applications and drive initiatives that will help them differentiate their organization in the marketplace.
To accomplish this, they need to employ an industrialized approach to data science to support many users, tools, and steps in order to deliver an end-to-end, automated analytics solution to improve quality and accelerate time to value for the business.
The HPE Ezmeral Data Fabric ensures the right data is delivered to the right people, at the right time. It is now available as a software-defined, scale-out data store to help solve challenges for data-intensive applications from edge to cloud.
Enterprise workloads
Additionally, as organisations look to modernise their enterprise workloads, the HPE Ezmeral Ecosystem brings the top open-source projects and ISVs together for access to the data and tools enterprises prefer, all in one control plane for the entire data science team.
HPE CTO and Head of Software Kumar Sreekanti HPE Ezmeral is invaluable to our customers that are now embracing a digital-first strategy, as is evident with our continued growth into new enterprise accounts.
“The enterprises that use data and artificial intelligence effectively are better equipped to evolve rapidly in this dynamic, post-pandemic world. The separate HPE Ezmeral Data Fabric data store and the expanded HPE Ezmeral Marketplace provide enterprises with the environment of their choice, and with visibility and governance across all enterprise applications and data through an open, flexible, cloud experience everywhere,” said Kumar Sreekanti
The HPE Ezmeral software portfolio is a purpose-built, hybrid cloud platform for data science and analytics workloads for enterprises to build and accelerate their modern data analytics initiatives at scale.
Kubernetes container
It is composed of a complete orchestrated Kubernetes container platform along with a built-in persistent storage layer and ML Ops for data science workflows. The HPE Ezmeral portfolio plays an essential role in the HPE edge-to-cloud platform-as-a-service strategy.
Combined with HPE GreenLake cloud services, which provide an agile, lower cost, and consistent cloud experience everywhere, the HPE Ezmeral Container Platform, HPE Ezmeral ML Ops, and HPE Ezmeral Data Fabric are available as cloud services through HPE GreenLake to bring even greater speed and simplicity to containerized application development, and DevOps agility to the ML lifecycle.
The HPE Ezmeral Data Fabric operates as the persistent store facility, and is now available separately as a software-defined, scale-out data store optimized for data analytics capabilities.
It can span multiple edge sites, multiple clouds, and hybrid environments, and is managed through one instance accessible via a global namespace.
Unified data
Enterprises can create a unified data repository for data scientists, developers, and IT to access and use, and with control of how it is used and shared, creating the foundation for digital transformation that reaches new data sources and scales with the business as it grows.
Additionally, HPE Ezmeral Ecosystem program has opened the HPE Ezmeral Marketplace, delivering a rapidly growing set of validated full-stack solutions from ISV partners with a broad network for customers to build their analytics engines, including Dataiku and Run:AI, and open source projects such as Apache Spark, and Tensorflow, with others to be added on a quarterly basis.
This marketplace delivers additional ecosystem stack support of core use cases and workloads for customers, including big data and AI/ML use cases.
