Software

Does your organization have NVIDIA GPU Cloud (NGC) ready platforms and need enterprise-level support?

Hewlett Packard Enterprise partners with NVIDIA® to provide NVIDIA NGC Support Services on HPE GPU-enabled systems that are validated as NGC-Ready.
NVIDIA NGC Support Services provide enterprise-grade support enabling NGC-Ready systems to run optimally and provides direct access to NVIDIA customer support to quickly address software issues and helps reduce downtime.

Do your systems need a cloud-ready operating system to increase security and performance for modern applications? Microsoft Windows Server 2022 can modernize your data center or cloud platform by enabling hybrid capabilities to increase value from technology investments. You can now upgrade to multilayer security with Secured-core OS as a cornerstone, improve efficiency with featured options such as Storage Spaces Direct and Windows Admin Center for easier management of modern applications with virtualization and containerization. With powerful innovations to elevate your system's efficiency and productivity, Windows Server 2022 pairs with HPE servers, storage, and networking solutions to provide the technology to help achieve your business goals.

Are you spending too much time and money on server updates? The Service Pack for Edgeline (SPE) and Smart Update Manager (SUM) combine to create the Hewlett Packard Enterprise Smart Update Technology to solve the problem of time-consuming, expensive, and error-prone updates. The SPE is a comprehensive collection of firmware and system software tested together as a single solution stack used for updating your HPE Edgeline Converged Edge Systems. With the SPE, Hewlett Packard Enterprise tests the firmware and system software updates, so you don't have to. Together, the SPE and SUM perform online updates 3X faster with 93% less downtime.¹

FlashSoft® software from SanDisk enables solid-state storage in the server (NVMe, PCIe, SAS or SATA) to enhance storage performance with full compatibility with currently deployed storage area network (SAN) storage systems. The software automatically places applications’ most frequently accessed data on the flash device in the server and keeps the data fully synchronized with the underlying storage. This cost-effective, high-performance flash solution improves application performance, virtualization capability, and storage efficiency without requiring any changes to existing applications or data center processes.

The HPE IMC Business Service Performance (BSP) Software is an Intelligent Management Center (IMC) module, targeted at support of data centers and large campuses, or remote sites that rely on centralized services. IMC BSP Software creates a holistic service health score dashboard for activity, health, availability and other factors for each individual customer-defined service.

This score uses data from the IMC platform, and optionally from SHM, APM and NTA modules to reflect the status of the application, servers, VMs, and network hardware that make up the service, giving a overall service view.

How does my organization more efficiently and effectively analyze data in my Hadoop cluster environment? HPE Vertica SQL on Hadoop offers the fastest and most enterprise-ready way to perform SQL queries on your Hadoop data. We’ve leveraged our years of experience in the big data analytics marketplace and opened up our platform to use the full power of the Hadoop cluster. By offering an open, fast and enterprise-ready implementation of SQL on Hadoop, users can perform analytics regardless of the format of data or Hadoop distribution used.

Click here for more details on how HPE Vertica SQL on Hadoop handles your mission-critical analytics projects by merging the best of our analytics platform with the best that Hadoop can offer.

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.

Are you deploying containerized or virtualized workloads (such as CNFs or VNFs) in your network, but are wrestling with the complexity of managing an underlying physical infrastructure made up of highly-distributed systems from multiple vendors? The HPE Resource Aggregator for Open Distributed Infrastructure Management delivers a standards-based resource management capability enabling both enterprises and communications service providers to simplify management of multi-vendor, heterogeneous, distributed compute, storage, and data networking physical infrastructure with the scalability and flexibility that such deployments require. Acting as an abstraction and aggregation layer between deployed systems' diverse proprietary and legacy management interfaces and DMTF Redfish®-compliant management systems, the HPE Resource Aggregator for Open Distributed Infrastructure Management enables simplified, automated management and orchestration of multi-vendor network infrastructure.

Does your HPC organization need to develop code in-house?

HPE Cray Supercomputing Programming Environment Software offers your programmers a complete set of tools for developing, porting, debugging, and tuning of their code so they can develop applications and bring innovations to the market faster. Save time by simplifying the transition to varying hardware architectures and configurations by automatically applying optimizations on HPC applications that use existing programming models with a simple recompile. HPE Cray Supercomputing Programming Environment Software provides a future-ready solution at a reduced cost with built-in languages, models, libraries, and tools.