{"id":19145,"date":"2018-12-04T10:35:42","date_gmt":"2018-12-04T09:35:42","guid":{"rendered":"http:\/\/blog.netspark.de\/?p=19145"},"modified":"2018-12-03T16:37:37","modified_gmt":"2018-12-03T15:37:37","slug":"nvidia-releases-titan-rtx","status":"publish","type":"post","link":"https:\/\/blog.netspark.de\/?p=19145","title":{"rendered":"NVidia releases Titan RTX"},"content":{"rendered":"<p><a href=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2013\/02\/nvidia-logo-png-i2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft  wp-image-4661\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2013\/02\/nvidia-logo-png-i2.png\" alt=\"\" width=\"67\" height=\"64\" \/><\/a>It&#8217;s not the first time that NVidia is doing a &#8220;One more thing&#8221;<br \/>\nafter releasing the mainstream of graphics cards. Initially the<br \/>\n20&#215;0 graphics cards family has been released earlier this year<br \/>\nand probably many thought: Is this all you got?<\/p>\n<p><!--more--><a href=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/Titan-RTX.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft  wp-image-19149\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/Titan-RTX-640x360.png\" alt=\"\" width=\"240\" height=\"135\" srcset=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/Titan-RTX-640x360.png 640w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/Titan-RTX-768x432.png 768w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/Titan-RTX.png 1920w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/Titan-RTX-500x281.png 500w\" sizes=\"auto, (max-width: 240px) 100vw, 240px\" \/><\/a>Well no, as you can see, NVidia has once again saved it&#8217;s big bang for the holidays. The Titan RTX is a real beast when it comes to pure calculation power. Featuring 576 multi-precision Turing Tensor Cores, providing up to 130 teraflops of deep learning performance you can just imagine how much calculation power that beast has. And get this: You can buckle up two of these cards to double the fun using NVLink. <a href=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/geforce-rtx-turing-630-u.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright  wp-image-19150\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/geforce-rtx-turing-630-u.jpg\" alt=\"\" width=\"241\" height=\"153\" srcset=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/geforce-rtx-turing-630-u.jpg 630w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/geforce-rtx-turing-630-u-500x317.jpg 500w\" sizes=\"auto, (max-width: 241px) 100vw, 241px\" \/><\/a>But as we learned, the RTX family offers ray-tracing capabilities where the Titan RTX is using 72 Turing RT Cores, delivering up to 11 GigaRays per second of real-time ray-tracing performance. Even these are incredible numbers compared to the mainstream cards. While the mainstream cards come up with 12GB of graphics memory, a Titan RTX is housing 24GB of high-speed GDDR6 memory with 672GB\/s of bandwidth which is two times the memory of previous-generation TITAN GPUs to fit larger models, textures and datasets. So even the most memory-hungry games graphic-wise won&#8217;t have any trouble moving in their stuff. The NVLink provides up to 100GB\/s link speed between the two cards which should suffice to provide even the most complex distribution of memorybased and computing-based operations.<\/p>\n<p><a href=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/RTXTitan_TechShotClearSmall.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-19148\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/RTXTitan_TechShotClearSmall-640x295.png\" alt=\"\" width=\"640\" height=\"295\" srcset=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/RTXTitan_TechShotClearSmall-640x295.png 640w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/RTXTitan_TechShotClearSmall-768x354.png 768w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/RTXTitan_TechShotClearSmall.png 1920w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/RTXTitan_TechShotClearSmall-500x230.png 500w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p>So although this card has nice specs, the price isn&#8217;t as nice as expected. Compared to a 15% gain over a 2080 RTX Ti the preice has doubled, demanding 2500 US$ from you to call one of these copper-colored beasts your own. Going SLI (NVLink) you would have to fork over a whopping 5000 US$ providing you with 48GB RAM and a 260 TFLOPs calculation power.<\/p>\n<p>For gaming this is truly a bit oversized but on the other hand there are enough people willing to spend thousands of dollars just to have the fastest computer to date.<\/p>\n<p><a href=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-b-641-d@2x.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-19151\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-b-641-d@2x-640x376.jpg\" alt=\"\" width=\"640\" height=\"376\" srcset=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-b-641-d@2x-640x376.jpg 640w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-b-641-d@2x-768x452.jpg 768w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-b-641-d@2x-500x294.jpg 500w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-b-641-d@2x.jpg 1282w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-c-641-d@2x.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-19153\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-c-641-d@2x-640x376.jpg\" alt=\"\" width=\"640\" height=\"376\" srcset=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-c-641-d@2x-640x376.jpg 640w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-c-641-d@2x-768x452.jpg 768w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-c-641-d@2x-500x294.jpg 500w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-c-641-d@2x.jpg 1282w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-d-641-d@2x.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-19154\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-d-641-d@2x-640x376.jpg\" alt=\"\" width=\"640\" height=\"376\" srcset=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-d-641-d@2x-640x376.jpg 640w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-d-641-d@2x-768x452.jpg 768w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-d-641-d@2x-500x294.jpg 500w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/nvidia-titan-rtx-gallery-d-641-d@2x.jpg 1282w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/titan-rtx_end.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter  wp-image-19147\" src=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/titan-rtx_end.jpg\" alt=\"\" width=\"640\" height=\"760\" srcset=\"https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/titan-rtx_end.jpg 909w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/titan-rtx_end-404x480.jpg 404w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/titan-rtx_end-768x912.jpg 768w, https:\/\/blog.netspark.de\/wp-content\/uploads\/2018\/12\/titan-rtx_end-500x594.jpg 500w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>It&#8217;s not the first time that NVidia is doing a &#8220;One more thing&#8221; after releasing the mainstream of graphics cards. Initially the 20&#215;0 graphics cards family has been released earlier this year and probably many thought: Is this all you got?<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[55,2211,3,2949],"tags":[347,3416,3113,3062,2418,3414,3415],"class_list":["post-19145","post","type-post","status-publish","format-standard","hentry","category-computer-2","category-gadgets-2","category-news","category-technology","tag-nvidia","tag-nvlink","tag-raytracing","tag-rtx","tag-titan","tag-touring","tag-vr"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/blog.netspark.de\/index.php?rest_route=\/wp\/v2\/posts\/19145","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.netspark.de\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.netspark.de\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.netspark.de\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.netspark.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=19145"}],"version-history":[{"count":0,"href":"https:\/\/blog.netspark.de\/index.php?rest_route=\/wp\/v2\/posts\/19145\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.netspark.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=19145"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.netspark.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=19145"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.netspark.de\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=19145"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}