Software

Does your HPC/AI environment need virtual GPU (vGPU) capability?

The NVIDIA® Virtual GPU (vGPU) and Virtual Compute Server (vCS) Software enables the NVIDIA GPU to be virtualized to accelerate compute-intensive server workloads such as AI, deep learning (DL), machine learning, and HPC. Grid provides graphics at scale across the enterprise with GPUs for exceptional productivity, security, and IT manageability by delivering powerful virtual experience from the data center or cloud to any device. vCS provides accelerated GPU virtualization and GPU sharing/segmentation for multiple virtual machines (VMs) by a single GPU, maximizing allocation for AI/DL intensive workloads. vCS provides bare metal performance with operational savings, costs, and improved manageability of VMs. By making GPU performance possible for every virtual machine (VM), vGPU technology enables users to work more efficiently and productively from the data center to the cloud.

Bright Computing is the leading provider of platform-independent commercial cluster management software in the world. Bright Cluster Manager™, Bright Cluster Manager for Data Science™, and Bright OpenStack™ automate the process of installing, provisioning, configuring, managing, and monitoring clusters for HPC, big data, machine learning, and OpenStack environments.

Do you require rapid access to shared data between multiple servers within a Linux® high-performance computing (HPC) cluster on a Storage Area Network (SAN)? The HPE Clustered Extents File System is designed to provide simultaneous, high speed shared access to data between clustered Linux servers connected to a SAN, where each server in the cluster has direct high-speed data channels to a shared set of disks. The servers share a single name-space within the cluster, so each server can see all files, and can access files at local to near-local speeds. HPE Clustered Extents File System can scale for bandwidth or I/O by adding additional storage or network connections and provide for high availability (HA) of data within a design that detects and automatically recovers from server or network failure.

Arm high performance computing tools are market-leading solutions for software development, debugging, profiling and application performance analysis on any HPC platform. With Arm software, you can build reliable and optimized code faster and cut development and run times.

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

Do you need a development toolset that speeds code execution for high performance computing (HPC)? Intel Parallel Studio XE is a development suite that boosts application performance by taking advantage of the ever-increasing processor core count and vector register width available in Intel® Xeon® processors, Intel Xeon Phi processors and coprocessors, and other compatible processors. Intel Parallel Studio XE simplifies the design, development, debugging and tuning of parallel code while boosting application performance. The suite of software enables software engineers from high performance compute (HPC), machine learning, and data analysis applications to productively increase performance on hardware. The Intel Parallel Studio XE tools integrate into your development environment, allowing you to leverage existing code.

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.

HPE Performance Cluster Manager is a fully integrated system management solution offering all the functionalities you need to manage your Linux®-based high performance computing (HPC) clusters. The software provides system setup, hardware monitoring and management, health management, image management and software updates as well as power management for systems of any scale. The HPE Performance Cluster Manager reduces the time and resources spent administering HPC systems - lowering total cost of ownership, increasing productivity and providing a better return on your hardware investments.

Do you need to improve data management in your HPC and AI Linux® storage environment? The HPE Data Management Framework (DMF) provides more efficient utilization of storage infrastructure, reduced time to insight, and allows for petabyte scale backup and Point-in-Time restoration of data. A new architecture allows for extensible metadata, which allows tagging data with attributes which can be queried to allow simplified creation of data sets. Along with data set labeling, job scheduler integration and the built-in policy engine, data intensive workflows can be automated and streamlined through automatic data set creation, staging of data, and data movement for processing. This automated data management functionality allows efficient utilization of storage infrastructure by removing stale data from defined data tiers and provides a virtual storage space that appears to be unlimited in size. Needed data is automatically retrieved as needed, making storage look ""bigger on the inside.""

HPE Message Passing Interface (MPI) is an MPI development environment designed to enable the development and optimization of high performance computing (HPC) applications. It leverages optimized software libraries, runtime tools, and a scalable development environment to help customers tune and accelerate compute-intensive applications running on any HPE Linux-based cluster.