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All Atipa products come with the software necessary to maintain and manage your servers effectively and efficiently. Whichever software you select for your HPC cluster, you can be sure your Atipa machine arrives fully-equipped with the tools necessary for the best cluster management.
Phoenix Clustering Management Software
Phoenix is a software stack of cluster management tools, essential command line utilities, and system monitoring applications designed by Atipa. Installed on the head node and exclusively configured for each individual cluster, Phoenix brings together all the best cluster management applications and a full suite of command line utilities to deliver a fully-functional clustering environment.
Intel® Solutions for Lustre
Not long ago storage for high performance computing (HPC) meant complexity and challenging management. HPC was the domain of government-sponsored research or data-intensive applications, like weather prediction or large-scale manufacturing in the aerospace and automotive sectors.
Intel® Cluster Ready
Intel® Cluster Ready (ICR) makes it easier to deploy, use, and maintain High Performance Computing (HPC) clusters. Intel® Cluster Ready guarantees that any ICR certified cluster will run any ICR certified application. By purchasing an ICR certified cluster from Atipa, you can have extreme confidence that it will run your applications.
Intel® Parallel Studio XE
Intel® Parallel Studio XE helps boost HPC application performance and reliability with proven cluster tools and advanced threading/memory correctness analysis. This software suite enables maximum scalability without more hassle.
Moab Cluster Suite®
Moab Cluster Suite® is a policy-based Intelligent resource management system produced by Adaptive Computing that automates the scheduling, managing, monitoring and reporting of HPC workloads on massive-scale, multi-technology installations.
PGI® Compilers & Tools
CUDA™ is the architecture of the NVIDIA® line of GPUs. The PGI® CUDA™ C/C++ Compiler for x86 platforms allows developers using CUDA™ to compile and optimize their CUDA™ applications to run on x86-based workstations, servers, and clusters with or without an NVIDIA® GPU accelerator.
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