High Performance Computing Software

The HPE Performance Cluster Manager software is a fully integrated system management solution for all HPE high performance computing (HPC) clusters and supercomputers.
The software offers fast system setup from bare-metal, comprehensive hardware monitoring and management, image management and software updates as well as power management and more.
HPE Performance Cluster Manager reduces the time and resources you need to spend administering your systems, keeps them resilient and running as close to maximum efficiency as possible so you can achieve better return on your hardware investments.

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.

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.

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.

Does your high-performance computing (HPC) / artificial intelligence (AI) environment need virtual GPU (vGPU) capability?
The NVIDIA® Virtual GPU Software enables GPU performance for workloads ranging from graphics-rich virtual workstations to data science and AI, enabling IT to leverage the management and security benefits of virtualization. By making GPU performance possible for every virtual machine (VM), the vGPU technology helps users to work more efficiently and productively from the data center to the cloud. 

Are you looking to reduce cost and complexity of the AI lifecycle?
NVIDIA AI Enterprise addresses the complexities of organizations trying to build and maintain their own high-performance, secure, and cloud-native AI software platform. Use pre-trained and customizable models to streamline development and deployment to better results with lower costs.

Do you need to simplify the deployment and management of your HPE SGI 8600 System? The HPE SGI Management Suite efficiently deploys and manages the HPE SGI 8600 System with one comprehensive toolset. The software offers an array of features, including the ability to initiate management actions, monitor essential system metrics and improve overall power efficiency. By combining the discovery of nodes and multicast technology you can significantly shorten the time required to complete bare-metal provisioning for the HPE SGI 8600 System. The HPE SGI Management Suite reduces the time and resources spent administering systems by improving software maintenance procedures and automating repetitive tasks— lowering total cost of ownership, increasing productivity and providing a better return on hardware investments.