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CLIP (Cloud Infrastructure Platform) is the implementation of a flexible concept for scientific High Performance Computing, It is jointly operated in Vienna by the Austrian Academy of Sciences, the Institute for Molecular Biotechnology, the Gregor Mendel Institute, and the Institute for Molecular Pathology.
CLIP provides fundamental HPC resources with a particularly low entry threshold to scientists from diverse fields of research. These resources comprise not only the HPC compute cluster itself, but also intensive support and training for its users. The platform is currently used by scientists from, e.g., Life Sciences, physics, biology, chemistry, quantum optics, materials science, acoustics research, history, archaeology, telecommunications, mathematics, computer science, and Artificial Intelligence.
A distinctive feature of CLIP, apart from the low-threshold access, is the virtualisation of all major system components. This enables flexible configuration and scalability of the computational resources as well as seamless updates and upgrades of the underlying hardware. This architecture translates to operational and economic benefits for all institutions and researchers involved.
Overall, CLIP features approx. 200 compute nodes with 8000 CPU cores and more than 30 TB working memory, plus 120 CPU accelerators and approx. 250 TB shared flash storage.
CLIP (Cloud Infrastructure Platform)
CLIP may be used by researchers of the partner institutions at no additional cost. Please contact the CLIP team via e-mail to firstname.lastname@example.org. Limited use by external institutions is possible on special agreement.
Methods & Expertise for Research Infrastructure
User support on CLIP comprises a ticketing system with defined service levels, support for the installation of Open Source and proprietary application software and guidance regarding job optimization and efficient use of resources. Additionally, free training courses ranging from general introduction to cluster computing to special topics (container technologies, statistics, programming etc.) are open to all users.
University of Vienna