Data Scientists and Analysts

Embedding Data Science
in the Enterprise

The rise of artificial intelligence (AI) is revolutionizing the way we think, work, interact, and understand the world. AI is the driving force for innovative data deployment applications that will transform how enterprises operate. To address the growing need for high quality AI solutions, HPE offers dedicated hardware, software and integrated services. All these solutions can be consumed on-premise with a cloud-like experience and service.

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Experience what HPE has to offer in terms of Data Science

Do your proof of concepts and AI models need to scale beyond personal work stations? Would you like to embed them in your core business, IT processes and data center infrastructure? Then HPE can deliver the following solutions:

HPE Ezmeral
Unified Analytics

HPE Ezmeral UA lets you build, train, and deploy models with DevOps-like speed and agility. This solution has the flexibility to run on-premises, in multiple public clouds, or in a hybrid model. It helps to implement ML models at enterprise scale by delivering a cloud-like experience, with pre-packaged tools to operationalize processes across the ML lifecycle. Ultimately, HPE Ezmeral UA provides a single platform that addresses all ML related challenges, speeding up data model timelines and reducing time to market.

HPE Ezmeral
Data Fabric

HPE Ezmeral Data Fabric unifies data globally, making it available to your analytics teams –whether the data is at the edge, on-premises, in a cloud data lake, or on other cloud platforms. The unique data fabric technology helps ensure global access to data while also verifying if data is synchronized, regardless of location. Only HPE can combine S3-native object store, files, streams, and databases in one scalable data platform managed by a single file system that accelerates time to insights.

HPE Swarm

HPE Swarm Learning enables you to access distributed siloed data without violating data privacy or ownership regulations. It also helps you to leverage larger data sets for improved model training. These larger data sets make the models more accurate and reduce biases. Additionally, as only data learnings are shared, not the raw data, this solution reduces the data transferred or duplicated to a central location, improving efficiencies. All in all, HPE Swarm Learning provides truly decentralized and collaborative machine learning.

HPE Machine Learning Development Environment

Built upon the open source Determined Training Platform, the HPE Machine Learning Development Environment helps you to focus on innovation by removing the complexity and cost associated with machine learning model development. You will be able to train NL models faster – in minutes and hours, not days and weeks. Starting a distributed training job is as simple as changing a single configuration setting. This solution will help you to build more accurate models, manage GPU costs, and track and reproduce experiment.

HPE High Performance Computing

Today’s HPC systems need to be able to handle massive, converged modelling, simulation, AI, and analytics workloads. HPE High Performance Computing addresses all these needs. Built to be data centric, it runs diverse workloads at the same time. With a single new system architecture it removes the distinction between clusters and supercomputers, enabling a choice of computational infrastructure without trade-offs. And it is architected to support mixing and matching multiple processor and accelerator architectures interconnected with our new HPE Slingshot network.

HPE Infrastructure

Building an infrastructure that is up to today’s data science challenges requires hardware that exceeds the ordinary. HPE provides exactly what your business needs. The HPE ProLiant DL380a Gen11 server powers next generation workloads from the edge to the cloud with a cloud operating experience and built-in security. HPE Apollo systems enable you to solve your most complex problems with affordable access to supercomputing. And the HPE Cray EX2500 supercomputer delivers a compact system architecture that provides high efficiency and significant cost savings in OPEX.

HPE provides exactly what your business needs

HPE ProLiant DL385 Gen11
AMD 4th Gen EPYC™ Processor

Accelerator optimized 2U, 2P
AI / ML, Big Data Analytics

Increased performance/core and massive parallel processing with dual socket to stpeed up analytics, max GPU support.

HPE ProLiant DL380a Gen11
4th GEN Intel® XEON™ Processor

Accelerator optimized 2U, 2P
Next Gen Enterprise Workloads

Extended GPU scalability. Up to 4 Double-wide or 8 single-wide accelerators.

Request a demo

Would you like to know more about what HPE has to offer in terms of Data Science? Request a free demo here, and we will contact you as soon as possible.

Laurent van Veen

Solution Consultant HPE

Laurent van Veen

Solution Consultant HPE