We\u2019re happy to announce the beginning of regular user operation for our new GPU cluster, \u201cGrete\u201d in G\u00f6ttingen.<\/p>\n
The main part of the cluster is available via the new partition grete, consisting of 33 nodes equipped with 4 NVIDIA Tesla A100 40 GB GPUs, 2 AMD Epyc CPUs, and an Infiniband HDR interconnect. In addition, \u201cGrete\u201d has a dedicated new login node, glogin9, which is also available via its DNS alias glogin-gpu.hlrn.de<\/a>. Part of \u201cGrete\u201d is a new dedicated small flash-based WORK storage system for the active set of the currently running jobs, which is mounted at \/scratch on the new GPU nodes and glogin9. The existing \u201cEmmy\u201d WORK file system is reachable under \/scratch-emmy. The HOME and PERM filesystems are shared between \u201cEmmy\u201d and \u201cGrete\u201d.<\/p>\n CUDA, the NVIDIA HPC SDK, and CUDA-enabled OpenMPI versions are available via the module system.<\/p>\n More information about using the new GPU system can be found at [1], and the accounting information has been extended to include the GPUs and MIG slices. [2] The existing GPU nodes ggpu[01-03] with Nvidia V100 32GB GPUs will be migrated to the same site (\u201cRZG\u00f6\u201d) as \u201cGrete\u201d in mid-May. The operation will resume with the same \u201cRocky Linux 8\u201d based OS image as the new GPU nodes.<\/p>\n [1] https:\/\/www.hlrn.de\/doc\/display\/PUB\/GPU+Usage<\/a> We\u2019re happy to announce the beginning of regular user operation for our new GPU cluster, \u201cGrete\u201d in G\u00f6ttingen. The main part of the cluster is available via the new partition grete, consisting of 33 nodes equipped with 4 NVIDIA Tesla A100 40 GB GPUs, 2 AMD Epyc CPUs, and an Infiniband HDR interconnect. In addition, … Weiterlesen<\/a><\/p>\n","protected":false},"author":166,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[129],"tags":[119],"class_list":["post-22970","post","type-post","status-publish","format-standard","hentry","category-wissenschaftliche-domaenen","tag-hpc"],"_links":{"self":[{"href":"https:\/\/info.gwdg.de\/news\/wp-json\/wp\/v2\/posts\/22970","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/info.gwdg.de\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/info.gwdg.de\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/info.gwdg.de\/news\/wp-json\/wp\/v2\/users\/166"}],"replies":[{"embeddable":true,"href":"https:\/\/info.gwdg.de\/news\/wp-json\/wp\/v2\/comments?post=22970"}],"version-history":[{"count":2,"href":"https:\/\/info.gwdg.de\/news\/wp-json\/wp\/v2\/posts\/22970\/revisions"}],"predecessor-version":[{"id":22986,"href":"https:\/\/info.gwdg.de\/news\/wp-json\/wp\/v2\/posts\/22970\/revisions\/22986"}],"wp:attachment":[{"href":"https:\/\/info.gwdg.de\/news\/wp-json\/wp\/v2\/media?parent=22970"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/info.gwdg.de\/news\/wp-json\/wp\/v2\/categories?post=22970"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/info.gwdg.de\/news\/wp-json\/wp\/v2\/tags?post=22970"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nFor smaller single GPU jobs and interactive usage, we provide additional partitions.<\/p>\n
\nPlease do not hesitate to contact us if you have questions or need support migrating suitable applications to the GPU system.<\/p>\n
\n[2] https:\/\/www.hlrn.de\/doc\/display\/PUB\/Accounting+in+Core+Hours<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"