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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 Hewlett-Packard Financial Services ("HPFS") to qualified customers and is subject to credit approval and execution of standard HPIB/HPFS documentation. Rates 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. HPIB reserves the right to change or cancel this program at any time without notice.

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Features

Additional Resources

More Information

What's New

  • Data pipelines with versioning and lineage for complete reproducibility.
  • Scale workloads to petabytes with autoscaling and parallel processing.
  • Data-driven pipelines intelligently triggered by detecting changes to data.
  • Drive collaboration and scale teams with modular, shareable, central platform serving as single source of truth.
  • Generate simpler, clearer, and easy to debug code with the improved Python-based SDK.

Key Features

Scalability and Performance

Leveraging Kubernetes for resource orchestration, HPE Machine Learning Data Management Software can process petabytes of data and billions of records using autoscaling and parallel processing across multiple nodes.

Automatically deduplicate data and process only the new or changed data (incremental processing) so models constantly have the most current data.

Git-like, modular structure of repos and pipelines enables teams to scale, share resources, and collaborate effectively.

Reproducibility and Automation

With immutable data lineage and data versioning, HPE Machine Learning Data Management Software provides complete reproducibility of any outcome.

Full versioning for data and metadata including all analysis, parameters, artifacts, models, and intermediate results.

Data-driven pipelines are automatically triggered by detecting changes to data (additions and modifications), pipelines, or code.

Combine automation, data versioning, and parallel processing to transform expensive and unpredictable projects into streamlined, enterprise-grade AI/ML production workflows through end-to-end pipelines.

Flexible Platform

Language and tooling agnostic, HPE Machine Learning Data Management Software allows engineers complete autonomy to use whatever languages, frameworks, or libraries are best for their use case.

Data agnostic, this solution supports structured and unstructured data easily as well as batch and streaming data.

Runs inside Docker containers on Kubernetes for complete portability to the cloud or on-premises.

Cost Effective for ML workloads

HPE Machine Learning Data Management Software can reduce compute and storage costs by processing only new or changed data and deduplicating data.

Customize resource utilization by allocating workloads to CPU or GPU resources as the use case demands.

Docker is a trademark or registered trademark of Docker, Inc. in the United States and/or other countries. All third-party marks are property of their respective owners.

* 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

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