{"id":5051,"date":"2024-11-12T14:23:46","date_gmt":"2024-11-12T19:23:46","guid":{"rendered":"https:\/\/carleton.ca\/scs\/?p=5051"},"modified":"2026-06-02T14:59:37","modified_gmt":"2026-06-02T18:59:37","slug":"worlds-powerful-gpu-cards-available-at-the-school-of-computer-science","status":"publish","type":"post","link":"https:\/\/carleton.ca\/scs\/2024\/worlds-powerful-gpu-cards-available-at-the-school-of-computer-science\/","title":{"rendered":"Worlds most powerful GPU cards available at the School of Computer Science"},"content":{"rendered":"\n
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\n Worlds most powerful GPU cards available at the School of Computer Science\n <\/h1>\n \n \n <\/header>\n\n <\/div>\n\n <\/div>\n\n <\/div>\n<\/section>\n\n

The School of Computer Science have invested resources into GPU computing by purchasing the world’s most powerful Volta-based graphics card made for the PC.<\/p>\n\n\n\n

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School of Computer Science Data Science Course Hardware<\/figcaption><\/figure>\n\n\n\n

The NVIDIA Titan V GPU cards will be used by ÐÓ°ÉÔ­´´ University Data Science courses in the areas of Big Data, Machine Learning, Artifical Intelligence, computer vision and related fields. The school has integrated the Titan V cards in its Open Stack cloud infrastructure. Students in a Data Science course are able to launch an Open Stack Virtual Machine that has the Titan V GPU card installed. This facilitates easy access and sharing of the computing resources.<\/p>\n\n\n\n\n\n

The Titan V cards have 3D stacked memory, 110 Deep Learning teraflops of computational power, 21 billion transistors, 12GB frame buffer, 640 Tensor Cores, and 5120 CUDA Cores.<\/p>\n","protected":false},"excerpt":{"rendered":"

The School of Computer Science have invested resources into GPU computing by purchasing the world’s most powerful Volta-based graphics card made for the PC. The NVIDIA Titan V GPU cards will be used by ÐÓ°ÉÔ­´´ University Data Science courses in the areas of Big Data, Machine Learning, Artifical Intelligence, computer vision and related fields. The […]<\/p>\n","protected":false},"author":2,"featured_media":5052,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[53],"tags":[],"class_list":["post-5051","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-announcements"],"acf":{"cu_post_thumbnail":""},"_links":{"self":[{"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/posts\/5051","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/comments?post=5051"}],"version-history":[{"count":3,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/posts\/5051\/revisions"}],"predecessor-version":[{"id":5084,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/posts\/5051\/revisions\/5084"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/media\/5052"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/media?parent=5051"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/categories?post=5051"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/tags?post=5051"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}