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14	14	(((
15	15	The high-performance computing services for EBRAINS include:
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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		-* (((
24		-Archival Data Repositories
	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	+
25	25
26		-* 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
27		-)))
28		-
29	29	Currently, we have in-kind resources available for EBRAINS users at:
30	30
31	31	* CINECA: Galileo100 (scalable + interactive)
32	32	** 3 M core-h, for EBRAINS members (developers) only
33	33	* JSC: JUSUF Cluster (available until 03/25)
34		-** core-h according to availability
35		-
	27	+** core-h according to availability
36	36
37	37	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]]
38	38
39		-* France: [[CEA>>https://www.edari.fr]]
40		-* Germany: [[JSC>>https://www.fz-juelich.de/en/ias/jsc/systems/supercomputers/apply-for-computing-time]]
41		-* Italy: [[CINECA>>https://www.hpc.cineca.it/hpc-access/access-cineca-resources/iscra-projects/]]
42		-* Switzerland: [[CSCS>>https://www.cscs.ch/user-lab/allocation-schemes]]
43		-
44		-
45	45	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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48	48	= (% style="font-family:inherit" %)How to apply for the EBRAINS in-kind resources(%%) =
49	49
50		-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]].
	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]].
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53	53	= (% style="font-family:inherit" %)Contact(%%) =