Software

The HPE IMC Orchestrator and Analyzer is an IMC solution that is designed to simplify network operations and management through orchestration, automation, and analytical capabilities. It is best suited for environments that are required to scale rapidly due to exponentially growing traffic from cloud, mobile, big data applications, and IoT .

The HPE IMC Orchestrator and Analyzer accelerates service delivery and enhances operational efficiency through its automated deployment capabilities for underlay and overlay network, service provisioning for VXLAN L2/L3 services, multi-tenant provisioning, and application performance insights with application telemetry. It also provides analytics and AI capabilities to offer a holistic view of network health for faster troubleshooting and issue resolution.

Do you need to scale your machine learning (ML) and data pipelines when processing large amounts of structured and unstructured data?

HPE Machine Learning Data Management Software delivers a flexible data layer platform that automates complex ML and data pipelines, while providing data versioning and lineage for reproducibility. Increase the performance of your pipelines with autoscaling and parallel processing built on Kubernetes for resource orchestration. Standard object stores, deduplication, and pipelines are automatically triggered when data is modified, thus saving your engineers time and resources. This platform features immutable data lineage with data versioning of any data type to provide traceable results, allowing any outcome to be reproduced.

Do you need to create a scalable and reliable network architecture at the mobile edge? HPE Aruba Networking Private 5G User Plane delivers greater access and flexibility for mobile edge applications by running your private network on the edge node. It supports on a low footprint data plane that can operate reliably at scale, even under difficult deployment conditions and in mission-critical environments. The solution includes functionality for more flexible support in edge computing that integrates the mobile edge data plane and the network using standard 3GPP interfaces. Easily leverage the 4G/5G network architecture to perform packet routing and processing functions in the user plane function (UPF) and enable enterprise mobile edge computing and flexible private networks.

Tired of juggling disparate tools to get your AI application using your data across hybrid environment?

Modern organizations leverage hybrid architectures for agility and flexibility, and leverage it for their AI applications. However, this can create disparate data sources, hindering your ability to derive insights. HPE Ezmeral Unified Analytics Software breaks down these barriers, providing a unified platform for data engineers, analysts, and machine learning (ML) architects and their end users. Built with best-in-class open-source tools, HPE Ezmeral Unified Analytics Software is infrastructure agnostic, empowering you to deploy your AI applications wherever your data resides.

HPE Ezmeral Unified Analytics Software in conjunction with HPE Ezmeral Data Fabric Software enables enterprises to create a consolidated view of their data across hybrid environments and expedite development and delivery of Retrieval Augmented Generation (RAG) applications using proprietary data.

Is your HPE Slingshot interconnected system delivering high performance and efficiency? HPE Cray Supercomputing Fabric AIOps Software fuses large scale telemetry data ingest with job and topology information to power analytics that deliver insights into interconnect behavior and possible issues. Understanding how a large complex interconnected computing system behaves is a daunting task. The unique telemetry from HPE Slingshot’s premier congestion management capabilities and HPE Cray Supercomputing Fabric AIOps Software provides insights which can be used to increase system, workload and application performance, and improve return on investment while reducing the burden and costs of operating a complex system. By Informing system administrators of congestion hot-spots, anomalies, and patterns in the interconnect traffic, HPE Cray Supercomputing Fabric AIOps empowers them to more rapidly detect potential issues, unveil relationships, take preventive action, and improve operations.

Do you need to execute high performance computing (HPC) and artificial intelligence (AI) workloads?

The Hewlett Packard Enterprise HPC software stack is designed for its hardware systems and compatible with various third-party and open-source software solutions, enabling customers to achieve impressive performance and system management at scale. 

HPE Cray Supercomputing User Services Software bundles together advanced features—including for power measurement and file system integration—to enhance user experience and system performance. By offering selective installation of features, HPE Cray SC User Services Software helps users customize their managed node environments based on their unique needs. HPE Cray SC User Services Software also supports integration of workload manager software and container orchestrators to continually facilitate increasingly complex integrated HPC and AI workflows.

Are your model development and MLOps teams spending more time setting up and managing ML infrastructure, rather than building and deploying models to production?

HPE Machine Learning Development Environment as a managed service is a fully managed MLOps platform that allows model developers and researchers to focus on building better models faster by reducing complexity and removing the need to write boilerplate code associated with managing ML infrastructure. It easily integrates with ML frameworks and tools, and supports customers bringing their own AWS or GCP cloud environments.

Our platform also makes it easy for IT and MLOps teams to setup and share AI infrastructure to improve collaboration and productivity for ML teams, while reducing costs.

Train models faster, build more accurate models, efficiently manage and share AI infrastructure, and track and reproduce experiments easily with HPE Machine Learning Development Environment as a managed service.

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