x

Finance your purchase through HPEFS

  • Click on 'Get Quote' to receive a quotation that includes financing provided by HPEFS.
  • OR, call HPEFS at +353-1-4118902

Estimated monthly payment based on 36 month fair market lease.

Financing available through Hewlett-Packard International Bank plc (HPIB), Liffey Park Technology Campus, Barnhall, Leixlip, Co. Kildare, Ireland. Co. No. 289479 or other subsidiaries of HPE Financial Services ("HPEFS") to qualified customers and is subject to credit approval and execution of standard HPIB/HPEFS documentation. Rates, which are fixed, and terms are based on customer's credit rating, offering types, services and/or equipment type and options. Not all customers may qualify, consumers specifically excluded. Not all services or offers are available in all countries. Other restrictions may apply. Warning: You may have to pay charges if you repay early, in full or in part, a fixed-rate credit facility.
Warning: You may have to pay charges if you repay early, in full or in part, a fixed-rate credit facility.

Loading...
true

More Information

Sort by:
1 - 10 of 42 items

HPE Ezmeral Machine Learning Ops 1-year Select Subscription 9x5 Support E-LTU

R4T65AAE

HPE Ezmeral Machine Learning Ops 2-year Select Subscription 9x5 Support E-LTU

R4T67AAE

HPE Ezmeral Machine Learning Ops 3-year Select Subscription 9x5 Support E-LTU

R4T69AAE

Page 1 of 5

What's New

  • Leverage the power of containers to create complex machine learning and deep learning stacks including TensorFlow, Apache Spark on Yarn with Kerberos, H2O, and Python ML and DL toolkits.
  • Spin-up distributed, scalable, ML, and DL training environments in minutes rather than months—on-premises, public cloud, or in a hybrid model.
  • Use your choice of tools to support even the most complex ML flow. For example, start with data prep in Spark, follow with training in TensorFlow on GPUs, and deploy on CPUs with TensorFlow runtime.
  • Implement CI/CD processes for your ML projects with a model registry. Model registry stores models and versions within HPE Ezmeral ML Ops as well as those created using different tools/platforms.
  • Improve the reliability and reproducibility of ML projects on a shared project repository (GitHub).
  • Deploy models in production with reliable, scalable, and highly available endpoint deployment with out-of-the-box autoscaling, and load balancing.

Key Features

Faster Time to Value

Manage and provision infrastructure through an intuitive graphical user interface.

Provision development, test, or production environments in minutes as opposed to days.

Onboard new data scientists rapidly with their choice of tools and languages without creating siloed development environments.

Improved Productivity

Data scientists spend their time building models and analyzing results rather than waiting for training jobs to complete.

HPE Ezmeral Container Platform helps ensure no loss of accuracy or performance degradation in multi-tenant environments.

Increase collaboration and reproducibility with shared code, project and model repositories.

Reduced Risk

Enterprise-grade security and access controls on compute and data.

Lineage tracking provides model governance and auditability for regulatory compliance.

Integrations with third-party software provides interpretability.

High-availability deployments help ensure critical applications do not fail.

Flexible and Elastic

Deploy on-premises, cloud, or in a hybrid model to suit your business requirements.

Autoscaling of clusters to meet the requirements of dynamic workloads.

* Prices may vary based on local reseller.

How can we help

Get advice, answers, and solutions when you need them. For general questions, email us at hpestore.quote-request@hpe.com

Find what you are looking for?

Need help locating the right product for your business?

Our product experts would love to chat with you to find products and services that enable opportunities and resolve your business problems.

Max 4 items can be added for comparison.