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15	15	The high-performance computing services for EBRAINS include:
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17		-* Scalable Computing Services, massively parallel HPC systems that can, e.g., be used for large-scale simulations or heavy machine-learning workloads.
18		-* Interactive Computing Services that allow the use of high-end single compute servers, e.g., to analyse and visualise data interactively or to connect to running simulations, which use scalable computing services.
19		-* Storage
20		-
	17	+* Scalable Computing Services
	18	+** Massively parallel HPC systems that are suitable for highly parallel brain simulations or for high-throughput data analysis tasks.
	19	+* Interactive Computing Services
	20	+** Quick access to single compute servers to analyse and visualise data interactively, or to connect to running simulations, which are using the scalable compute services.
	21	+* Active Data Repositories
	22	+** Site-local data repositories close to computational and/or visualization resources that are used for storing temporary replicas of data sets. In the near future they will typically be realised using parallel file systems.
	23	+* Archival Data Repositories
	24	+** Federated data storage, optimized for capacity, reliability and availability that is used for long-term storage of large data sets which cannot be easily regenerated. These data stores allow the sharing of data with other researchers inside and outside of HBP
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22	22	Currently, we have in-kind resources available for EBRAINS users at:
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24	24	* CINECA: Galileo100 (scalable + interactive)
25	25	** 3 M core-h, for EBRAINS members (developers) only
26	26	* JSC: JUSUF Cluster (available until 03/25)
27		-** core-h according to availability
	31	+** core-h according to availability
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29	29	Further HPC resources are available through regular national calls at:
30		-- France: [[CEA>>https://www.edari.fr]]
31		-- Germany: [[JSC>>https://www.fz-juelich.de/en/ias/jsc/systems/supercomputers/apply-for-computing-time]]
32		-- Italy: [[CINECA>>https://www.hpc.cineca.it/hpc-access/access-cineca-resources/iscra-projects/]]
33		-- Switzerland: [[CSCS>>https://www.cscs.ch/user-lab/allocation-schemes]]
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	36	+* France: [[CEA>>https://www.edari.fr]]
	37	+* Germany: [[JSC>>https://www.fz-juelich.de/en/ias/jsc/systems/supercomputers/apply-for-computing-time]]
	38	+* Italy: [[CINECA>>https://www.hpc.cineca.it/hpc-access/access-cineca-resources/iscra-projects/]]
	39	+* Switzerland: [[CSCS>>https://www.cscs.ch/user-lab/allocation-schemes]]
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35	35	In most cases, a prerequisite for the national calls is that the PI be affiliated with an academic institution located in the same country as the hosting site.
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38	38	= (% style="font-family:inherit" %)How to apply for the EBRAINS in-kind resources(%%) =
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40		-Applying for EBRAINS in-kind resources is straightforward and requires only a technical review. Use the provided [template](URL) and send it to [[base-infra-resources@ebrains.eu>>mailto:base-infra-resources@ebrains.eu]].
	47	+Applying for EBRAINS in-kind resources is straightforward and requires only a technical review. Use the provided [[template>>https://drive.ebrains.eu/f/46b93975bde64a2e92e9/]] and send it to [[base-infra-resources@ebrains.eu>>mailto:base-infra-resources@ebrains.eu]].
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43	43	= (% style="font-family:inherit" %)Contact(%%) =