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Does your HPC organization need to develop code in-house?
HPE Cray Programming Environment, a fully integrated software suite with compilers, tools, and libraries designed to improve programmer productivity, application scalability, and performance.
Besides support for multiple programming languages, programming models, compilers, I/O libraries, and scientific libraries, the suite offers a variety of supported tools for areas including debugging, performance analysis, workload management, and environment setup.
Simplify porting of existing applications with minimal recording and changes to the existing programming models, making transition to the new hardware architectures and configurations easier.
The solution aims to enhance developer experience by offering a whole system view, rather than just processor-specific tools. It offers developers intuitive behavior and enhanced performance for their applications with the least amount of effort.
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/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.