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.
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 you need to increase high performance compute (HPC) usability and effectiveness across your entire organization? NICE Desktop Cloud Visualization and NICE EnginFrame software are aimed at company-wide management and optimization of computing and visualization resources. The solutions can be purchased from HPE individually or together.
Are your HPC and AI compute workloads bottlenecked by slow storage performance? WekaIO Matrix is a high performance, scalable, and parallel file system that is ideal for AI, technical computing, and mixed workloads. The flash-native, highly resilient, POSIX file system delivers the high IOPS and low-latency throughput needed for demanding compute requirements. WekaIO Matrix provides integrated policy-based tiering, so data can span from NVMe flash to object storage in a single namespace for easy management and cost-effective economics. Native support for the industry-standard S3 interface allows integration with both on-premises and cloud environments. Your organization made a significant investment in the compute infrastructure to support your analytics workloads, not allow data accessibility be the bottleneck to the overall productivity of your solution. WekaIO Matrix delivers the performance you need, so your data analysis pipelines will never be stalled waiting for data.
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 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.
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.
Are you looking for a suite of tools, development platforms, and components to help your team produce better code? The Rogue Wave TotalView Software development tool simplifies all aspects of the high performance computing (HPC) development lifecycle and reduces overall release times. The solution addresses the growing complexity of building great software and accelerates the value gained from code across the enterprise. It assists developers to quickly build applications for strategic software initiatives. With Rogue Wave TotalView Software, customers improve software quality and code integrity, while shortening development cycle times.