{"id":25101,"date":"2024-01-18T14:57:56","date_gmt":"2024-01-18T19:57:56","guid":{"rendered":"https:\/\/www.rc.fas.harvard.edu\/?p=25101"},"modified":"2024-09-16T13:22:11","modified_gmt":"2024-09-16T17:22:11","slug":"cannon-2-0","status":"publish","type":"post","link":"https:\/\/www.rc.fas.harvard.edu\/blog\/cannon-2-0\/","title":{"rendered":"Cannon 2.0"},"content":{"rendered":"

\"cannon<\/h1>\n

Summary<\/span><\/h1>\n

FASRC is adding 216 Intel Sapphire Rapids nodes with 1TB of RAM each, 4 Intel Sapphire Rapids nodes with 2TB of RAM each and 144 A100 80GB GPUs to the Cannon cluster. The Sapphire Rapids cores will be made available in the new \u2018sapphire\u2019 partition. The new A100 GPUs will be added to the \u2018gpu\u2019 partition.\u00a0 Partitions will be reorganized to account for the larger memory of the new nodes. FASSE will gain additional \u2018fasse_bigmem\u2019 and \u2018fasse_gpu\u2019 capacity. The base <\/span>gratis fairshare<\/span><\/a> will be increased to 200 on the Cannon cluster.<\/span><\/p>\n

These updates will go live on January 22nd, 2024.<\/p>\n

Overview<\/span><\/h1>\n

Cannon 2.0 represents the expansion of the liquid-cooled Cannon cluster, providing access to Intel's latest Sapphire Rapids processors and Nvidia's A100 GPUs to the Harvard research community. This update aims to reduce wait times and provide additional resources to the community. On the Cannon cluster, we observed that limited memory on the nodes was contributing to extended wait times for workflows requiring more memory. The additional memory in these new compute nodes will help bridge this gap.<\/span><\/p>\n

 <\/p>\n

Cannon 2.0 consists of:\u00a0<\/h4>\n