{"id":5086,"date":"2025-11-10T09:26:51","date_gmt":"2025-11-10T09:26:51","guid":{"rendered":"https:\/\/www.hpc.grnet.gr\/?page_id=5086"},"modified":"2025-11-10T10:50:02","modified_gmt":"2025-11-10T10:50:02","slug":"extension-2025","status":"publish","type":"page","link":"https:\/\/www.hpc.grnet.gr\/en\/extension-2025\/","title":{"rendered":"Extension 2025"},"content":{"rendered":"<h2 id=\"compute-overview\" style=\"text-align: justify;\"><\/h2>\n<div class=\"wrapper  \" style=\"\" >\n\t\t\t\t<div class=\"row \"><div class=\"col-xs-12 col-sm-12 col-md-8 col-lg-9\"><div class='blox_element tt_text_content  '>\n<h2>Compute Nodes<\/h2>\n<p>The infrastructure consists of a total of three types of computing system nodes, based on AMD x86 architecture, interconnected into a single NVIDIA Infiniband HDR 100 Gbps network offering multiple options and processing architectures. More specifically, the infrastructure consists of:<\/p>\n<p>\u2022 Thin Nodes island consisting of 48 Dell PowerEdge R6525 servers. Each server offers 2 AMD EPYC 7763 processors and 512 GB of central memory.<br \/>\n\u2022 Fat Nodes island consisting of 16 Dell PowerEdge R6525 servers. Each server offers 2 AMD EPYC 7763 processors and 1 TB of central memory.<br \/>\n\u2022 GPU accelerator nodes comprised of 3 Dell PowerEdge XE8545 servers. Each server contains 2 AMD EPYC 7763 processors, 512 GB of memory and 4 NVIDIA Ampere A100 cards.<br \/>\nTo optimize system utilization, one of the three GPU nodes, which is equipped with four NVIDIA A100 GPUs, has been configured in MIG (Multi-Instance GPU) mode. This configuration allows each GPU to be divided into smaller, independent instances, providing users with smaller GPU partitions when full GPU memory is not required.<br \/>\nAvailable GPU configurations:<br \/>\n1g.10gb \u2014 up to 10 GB GPU memory, 4 CPU cores, and 15.5 GB system memory<br \/>\n2g.20gb \u2014 up to 20 GB GPU memory, 8 CPU cores, and 31 GB system memory<br \/>\n3g.40gb \u2014 up to 40 GB GPU memory, 16 CPU cores, and 62 GB system memory<br \/>\na100 \u2014 up to 80 GB GPU memory, 32 CPU cores, and 124 GB system memory<\/p>\n<p>More information: <a href=\"http:\/\/doc25.aris.grnet.gr\/system\/hardware\/\">http:\/\/doc25.aris.grnet.gr\/system\/hardware\/<\/a><\/p>\n<h2>Storage Space<\/h2>\n<p>In addition, the system offers 2.5 PB storage space through IBM\u2019s General Parallel File System (GPFS). The infrastructure is complete with an IBM TS4500 library with a maximum storage capacity of about 6 PB.<\/p>\n<p>More information: <a href=\"http:\/\/doc25.aris.grnet.gr\/system\/storage\/\">http:\/\/doc25.aris.grnet.gr\/system\/storage\/<\/a><\/p>\n<p>Available Software<\/p>\n<p>A full list of the ARIS software environment is available on the system\u2019s documentation site.<\/p>\n<p>More information: <a href=\"http:\/\/doc25.aris.grnet.gr\/software\/software\">http:\/\/doc25.aris.grnet.gr\/software\/<\/a><\/p><\/div><\/div><div class=\"col-xs-12 col-xxs-6 col-sm-6 col-md-3 col-lg-3\"><\/div><\/div>\n\t\t\t<\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-5086","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.hpc.grnet.gr\/en\/wp-json\/wp\/v2\/pages\/5086","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hpc.grnet.gr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.hpc.grnet.gr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.hpc.grnet.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hpc.grnet.gr\/en\/wp-json\/wp\/v2\/comments?post=5086"}],"version-history":[{"count":5,"href":"https:\/\/www.hpc.grnet.gr\/en\/wp-json\/wp\/v2\/pages\/5086\/revisions"}],"predecessor-version":[{"id":5102,"href":"https:\/\/www.hpc.grnet.gr\/en\/wp-json\/wp\/v2\/pages\/5086\/revisions\/5102"}],"wp:attachment":[{"href":"https:\/\/www.hpc.grnet.gr\/en\/wp-json\/wp\/v2\/media?parent=5086"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}