Software

The Scripting Toolkit (STK) for Windows and Linux provide flexible scripting to automate steps in HPE ProLiant server configurations to scale high volumes of server deployments rapidly and cut deployment time substantially. The STK includes a modular set of utilities and documentation that describe how to apply the scripting tools for an automated deployment process.

It delivers hands-off, unattended installation for high volume HPE ProLiant server deployments and is integrated with other management tools such as Integrated Lights Out (iLO), BIOS and is based on Intelligent Provisioning. Its "Rack and Go" approach frees up scarce IT resources, delivers consistent server configurations across multiple servers, and integrates into popular methods for operating system deployment. Past versions were based on SmartStart, and were known as the SmartStart Scripting Toolkit.

Altair PBS Professional offers comprehensive workload management for high-performance computing, and cloud environments. The workload management suite allows high performance compute (HPC) users to simplify their environment while optimizing system utilization, boosting application performance, and improving return on investment (ROI) on hardware and software investments. Altair PBS Professional is the preferred solution for many of the largest, most complex clusters and supercomputers¹ - and is the choice for smaller organizations needing HPC solutions that are easy to adopt and use.

Are you looking for a Container as a Service (CaaS) solution for your SUSE® environment? SUSE CaaS Platform from HPE is an enterprise class container management solution that enables IT and development operations professionals to more easily deploy, manage, and scale container-based applications and services. Enterprises can reduce application delivery cycle times and improve their business responsiveness. The SUSE CaaS Platform from HPE helps you achieve faster time to value, simplify management and control of your container platform, and increase your return on investment (ROI).

Are you a scientist, researcher, or an HPC programmer at a national laboratory, research university, or a commercial organization who develops modeling and simulation applications in weather forecasting, climate modeling, high-energy physics, materials science, computational chemistry, computational biology, computational fluid dynamics, structural analysis, astrophysics, geophysical sciences, and similar fields?

Hewlett Packard Enterprise partners with NVIDIA to provide compiler support for those who utilize the NVIDA HPC Software Development Kit. HPC SDK Compiler Support Services (HCSS) provide enterprise-grade support for the HPC compilers within the NVIDIA HPC SDK, specifically the NVFORTRAN, NVC++, and NVC compilers.

HPE OneView for Microsoft Azure Log Analytics provides a bridge between Microsoft® cloud management services and Hewlett Packard Enterprise hardware infrastructure. It allows you to manage on-premises infrastructure with the same Microsoft tools used for cloud services. HPE OneView for Microsoft Azure Log Analytics brings visibility of the underlying Hewlett Packard Enterprise infrastructure, including hardware, firmware inventory, infrastructure health, status, long term event correlation, and trend analysis. Data is automatically collected from HPE OneView and HPE Synergy is processed using the Azure™ Log Analytics engine running in the Azure public cloud. Licensed as part of HPE OneView and HPE Synergy, HPE OneView for Microsoft Azure Log Analytics is highly extensible and customizable, allowing you to take advantage of cloud based management for your on-premises environment.

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.

Tired of juggling disparate tools and struggling with your data across hybrid environment?

Modern organizations leverage hybrid architectures for agility and flexibility. However, this can create disparate data sources, hindering your ability to derive insights. HPE Ezmeral Data Fabric Software comes to the rescue by seamlessly stitching together your data across on-premises and cloud environments. Once unified, HPE Ezmeral Unified Analytics Software allows you to expedite AI deployment, accelerating your journey toward data-driven success.

HPE Ezmeral Unified Analytics Software breaks down these barriers, providing a unified platform for data engineers, analysts, and even machine learning (ML) model 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.

Do you have infrastructure that spans across different HPE platforms, data centers, or even countries?
HPE OneView Global Dashboard allows you to manage up to 75 HPE OneView or HPE Synergy instances and 20,000 servers across data centers. It helps your IT staff troubleshoot alerts and view core inventory data from one place and make more informed, faster decisions with better infrastructure visibility. With single sign-on, you are one click away from powerful, device-level lifecycle management. At no additional cost, you can simply download and run HPE OneView Global Dashboard alongside HPE OneView, allowing you to see your HPE ProLiant servers, HPE Synergy, HPE BladeSystem, HPE Apollo, HPE Alletra, HPE 3PAR, HPE Primera, HPE Superdome and HPE Superdome Flex systems as one infrastructure.

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.

Do you need to streamline the AI/ML deployment process? Do you need to support a diverse AI frameworks and scalable infrastructure in a cloud/hybrid environment that often requires customized data protection?
The HPE Machine Learning Inference Software features user-friendly tools to update, monitor, and deploy models that will help you get value from AI/ML initiatives faster. Role-Based Access Controls (RBAC) and endpoint security provide additional protection for ML resources. Dramatically improve team efficiency by using consistent tooling and pre-trained models to focus more on model development and less on the complexities of getting models into production. By offering a product that handles the intricacies of deployment, routing, and real-time monitoring, HPE Machine Learning Inference Software provides the agility needed to ship ML models quickly, iterate on them based on feedback from the real-world, and maintain high-performance standards.