{"id":337800,"date":"2017-04-06T22:40:58","date_gmt":"2017-04-06T14:40:58","guid":{"rendered":"http:\/\/techcrunch.com\/?p=1473650"},"modified":"2017-04-06T22:40:58","modified_gmt":"2017-04-06T14:40:58","slug":"nvidias-new-titan-xp-top-end-graphics-card-also-offers-mac-support","status":"publish","type":"post","link":"https:\/\/people.utm.my\/asmawisham\/nvidias-new-titan-xp-top-end-graphics-card-also-offers-mac-support\/","title":{"rendered":"Nvidia\u2019s new Titan Xp top-end graphics card also offers Mac support"},"content":{"rendered":"

<\/p>\n

Nvidia updates its top-of-the-line Titan graphics card yearly, so it\u2019s only natural the Titan Xp got\u00a0announced Thursday.\u00a0The Titan Xp\u2019s new specs include 12GB of GDDR5X memory running at 11.4 Gbps (!), an army of 3,840 CUDA cores running at 1.6GHz and 12 TFLOPs (that\u2019s twelve trillion<\/em> floating-point operations per second)\u00a0of brute processing\u00a0power.<\/p>\n

A GPU like this will be the crown jewel of any Windows machine, but Nvidia hasn\u2019t forgotten about macOS\u00a0users. Mac beta drivers are being offered for the first time, which if you think about it is a good precursor to Apple prepping a new Mac Pro with support for new and upcoming high performance GPUs<\/a>. It\u2019s also suitable for anyone who\u00a0needs the power in an older-generation Mac Pro (before the black trashcan design) and can\u2019t wait until next year for the Pro redesign.<\/p>\n

It\u2019s an absurd amount of graphics power with the price to match: it\u2019s $1200 available from Nvidia directly<\/a>.<\/p>\n

For reference,\u00a0Titan graphics cards are usually based off the same processing architecture \u2014 currently codenamed Pascal \u2014 but feature upgraded clock speeds and more shaders for better performance and visuals.<\/p>\n","protected":false},"excerpt":{"rendered":"

\"\" Nvidia updates its top-of-the-line Titan graphics card yearly, so it’s only natural the Titan Xp got\u00a0announced Thursday.\u00a0The Titan Xp’s new specs include 12GB of GDDR5X memory running at 11.4 Gbps (!), an army of 3,840 CUDA cores running at 1.6GHz and 12 TFLOPs (that’s twelve trillion floating-point operations per second)\u00a0of brute processing\u00a0power. A GPU like this will be… Read More<\/a><\/p>\n

\n<\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a>\n<\/div>\n

\"\"\/ <\/p>\n","protected":false},"author":5817,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[25],"tags":[59,66,26],"class_list":["post-337800","post","type-post","status-publish","format-standard","hentry","category-technology","tag-media","tag-techcrunch","tag-technology"],"_links":{"self":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/posts\/337800","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/users\/5817"}],"replies":[{"embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/comments?post=337800"}],"version-history":[{"count":0,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/posts\/337800\/revisions"}],"wp:attachment":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/media?parent=337800"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/categories?post=337800"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/tags?post=337800"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}