Hewlett Packard Enterprise Acquires Pachyderm to Expand AI-at-Scale Capabilities with Reproducible AI
Hewlett Packard Enterprise (NYSE: HPE) has announced the acquisition of Pachyderm, a software startup specializing in automating machine learning pipelines for large-scale AI applications. This integration aims to enhance HPE's AI-at-scale offerings by providing a more efficient and cost-effective platform for customers transitioning from proof of concept to production. The combined solution will aid in developing accurate AI models faster, supporting industries like defense, life sciences, and manufacturing. The deal is expected to close this month without regulatory hurdles.
- Acquisition of Pachyderm enhances HPE's AI-at-scale capabilities.
- Integration aims to reduce costs and increase efficiency in AI deployment.
- Addresses growing needs in various industries including defense and life sciences.
- None.
- HPE will integrate Pachyderm’s software with its existing supercomputing and AI solutions to automate reproducible machine learning pipelines for large-scale AI applications
- The combined HPE solution will deliver an integrated machine learning pipeline and platform to accelerate a customer’s AI journey from POC to production with higher efficiency and lower costs
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Lockheed Martin demonstrates AI at-scale for mission-critical security and aerospace applications using combined HPE and Pachyderm solution
Reproducing a machine learning pipeline enables use of the same dataset to achieve the same results each time to increase transparency, trustworthiness, and accuracy in predictions while optimizing time and resources. It is critical to successful AI-at-scale initiatives, which represent the next revolutionary step in realizing AI’s potential to increase the accuracy of predictions and achieve results faster. To attain these outcomes, organizations need to adopt technologies to efficiently build and train larger machine learning models that require a high volume of complex data.
“As AI projects become larger and increasingly involve complex data sets, data scientists will need reproducible AI solutions to efficiently maximize their machine learning initiatives, optimize their infrastructure cost, and ensure data is reliable and safe no matter where they are in their AI journey,” said
HPE expands AI at-scale portfolio with addition of Pachyderm
HPE unlocks AI-at-scale opportunities for its customers by bringing together its leading supercomputing technologies that are foundational for optimized AI infrastructure, and the HPE Machine Learning Development Environment, a machine learning software that enables users to rapidly develop, iterate, and scale high-quality models from proof-of-concept to production. The combined solution already helps users train more accurate AI models faster, and at scale, on several of the world’s fastest supercomputers that have been purpose-built for demanding AI workloads.
Building on to these solutions, HPE will integrate Pachyderm’s reproducible AI capabilities in one integrated platform to deliver an advanced data-driven pipeline that automatically refines, prepares, tracks, and manages repeatable machine learning processes used throughout the development and training environment.
Delivering an end-to-end machine learning software platform to enable production AI at-scale
AI-at-scale capabilities advance popular use cases involving natural language processing, computer vision, and video and image processing that are growing across industries such as transportation, life sciences, defense, financial services, and manufacturing.
By integrating Pachyderm’s machine learning pipeline capabilities with its existing AI offerings, HPE will enable faster development and deployment of more accurate and performant large-scale AI applications with the following benefits:
- Data lineage – Visibility on the origin of the data and where it moves over time during the machine learning lifecycle and analytics process to easily trace errors back to the root cause.
- Data versioning – Ability to track different versions of data to understand when data was created or changed at any point in time, to increase efficiency in making any changes.
- Efficient incremental data processing – As data changes over time, only incremental data needs to be processed to update AI applications. Pachyderm makes incremental data processing automatic and efficient.
This acquisition builds on HPE’s
Product integration and availability
Pachyderm’s software is available today to integrate with HPE’s existing supercomputing and AI software solutions. Additionally, HPE plans to integrate Pachyderm with upcoming versions of the HPE Machine Learning Development System, which eliminates the complexity and cost to build and train models with a complete, ready-to-use solution.
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Media Contact
Nahren Khizeran
Nahren.Khizeran@hpe.com
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