Hewlett Packard Enterprise announced
advancements to the HPE Ezmeral software portfolio, with new products and
partnerships designed to help organizations 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. Today's 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 (ML Ops). 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.
"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," said Kumar Sreekanti, CTO
and Head of Software, HPE. "The enterprises that use data and artificial
intelligence effectively are better equipped to evolve rapidly in a dynamic,
constantly changing marketplace. The separate HPE Ezmeral Data Fabric data
store and new 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."
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 is
ideal as the global file system foundation for large scale custom applications,
a data lake for analytics applications, and software-defined storage for large
scale container environments. It is now available as a software-defined,
scale-out data store to help solve challenges for data-intensive applications
from edge to cloud. Additionally, as organizations look to modernize 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.
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. 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, customers can use the HPE Ezmeral
software portfolio to rapidly transform and modernize all their applications
and data, and streamline analytic workloads, all in an as-a-service model. The HPE Ezmeral
Container Platform and HPE Ezmeral ML Ops are available as cloud
services through HPE GreenLake now, and HPE plans to offer the HPE Ezmeral Data
Fabric as a HPE GreenLake service in the future.
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. 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.
The HPE
Ezmeral Marketplace delivers a rapidly growing set of validated
full stack solutions from ISV partners that enable customers to build their
analytics engines, including Dataiku and Run:AI, and open-source projects such
as Apache Spark, and Tensorflow. HPE plans to add more ISV partners to the HPE
Ezmeral Marketplace every quarter. This marketplace delivers additional
ecosystem stack support of core use cases and workloads for customers,
including big data and AI/ML use cases.
"The HPE Ezmeral Marketplace allows
us to connect with enterprises embarking on modernizing their data analytics
and data science workloads," said Florian Douetteau, CEO, Dataiku. "The
combination of Dataiku with the HPE Ezmeral software will help our customers to
successfully scale and operationalize their machine learning projects,
delivering real impact for their business."
Availability
The HPE Ezmeral Data Fabric is
available as a software license subscription to run on any infrastructure or
public cloud. To learn more about HPE Ezmeral, visit hpe.com/ezmeral.