{"id":9450,"date":"2015-03-23T07:57:09","date_gmt":"2015-03-23T07:57:09","guid":{"rendered":"http:\/\/www.leawo.org\/entips\/?p=9450"},"modified":"2026-05-13T06:52:02","modified_gmt":"2026-05-13T06:52:02","slug":"nvidia-cuda-technology","status":"publish","type":"post","link":"https:\/\/www.leawo.org\/entips\/nvidia-cuda-technology.html","title":{"rendered":"NVIDIA CUDA technology"},"content":{"rendered":"<p>NVIDIA GPUs power millions of desktops, notebooks, workstations and supercomputers around the world, accelerating computationally-intensive tasks for consumers, professionals, scientists, and researchers. To deliver better media conversion experience, Leawo\u2019s media converting solutions have been upgraded with\u00a0<strong>NVIDIA CUDA technology,\u00a0<\/strong>offering improved video encoding\/decoding performance (when processing high-definition videos in particular) for any computer running on CUDA-enabled GPU. By processing video conversions on NVIDIA\u2019s GPU instead of your computer\u2019s CPU, more CPU resources can be spared for other applications, making your computer run\u00a0<strong>6 times faster<\/strong>.<\/p>\n<p style=\"text-align: center;\" align=\"center\"><strong>NVIDIA CUDA Acceleration Examples<\/strong><\/p>\n<table class=\"aligncenter\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"138\"><\/td>\n<td valign=\"top\" width=\"203\">\n<p align=\"center\">Without NVIDIA CUDA Acceleration<\/p>\n<\/td>\n<td valign=\"top\" width=\"209\">\n<p align=\"center\">NVIDIA CUDA Accelerated<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"138\">BD50 to AVI<\/td>\n<td valign=\"top\" width=\"203\">\n<p align=\"center\">249min<\/p>\n<\/td>\n<td valign=\"top\" width=\"209\">\n<p align=\"center\">117min<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"138\">BD50 to MKV<\/td>\n<td valign=\"top\" width=\"203\">\n<p align=\"center\">304min<\/p>\n<\/td>\n<td valign=\"top\" width=\"209\">\n<p align=\"center\">115min<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"138\">BD50 to MP4<\/td>\n<td valign=\"top\" width=\"203\">\n<p align=\"center\">248min<\/p>\n<\/td>\n<td valign=\"top\" width=\"209\">\n<p align=\"center\">104min<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center;\">\u00a0 \u00a0 \u00a0 \u00a0OS: Win 7 Ultimate\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Disc\uff1aDOOM<\/p>\n<p style=\"text-align: center;\">CPU: Intel(R) Celeron(R) CPU E3400 @ 2.60GHz\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Input: BD 50<\/p>\n<p style=\"text-align: center;\">\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Graphic: NVIDIA 210\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0 Output: MKV, AVI, MP4 (1024x768)<\/p>\n<p><strong>Presently, Leawo software programs including video converter, Blu-ray Ripper, DVD Ripper, YouTube Downloader, Video Accelerator, etc. support NVIDIA CUDA accelerating. Converting software solutions that don\u2019t support NVIDIA CUDA accelerating are DVD Copy, DVD Creator, Blu-ray Copy, Blu-ray Creator and Blu-ray to MKV Converter.<\/strong><\/p>\n<p>Conversion profiles that leverage CUDA technology are clearly labeled; users can optionally enable GPU encoding\/decoding acceleration once CUDA-enable graphics card has been detected.<\/p>\n<h2>How to open NVIDIA CUDA\/AMD APP acceleration on Leawo\u2019s products<\/h2>\n<p>On some of Leawo\u2019s media converter programs, like Blu-ray Ripper and Blu-ray Copy, click the \u201cSettings\u201d wheel icon on the top-right corner of menu bar, then enter \u201cPerformance\u201d tab to check \u201cEnable NVIDIA CUDA Acceleration\u201d button for activating NVIDIA CUDA accelerating. AMD APP accelerating shares the same operation on opening.<\/p>\n<p><img decoding=\"async\" class=\"size-full wp-image-24468 aligncenter lazyload\" title=\"open_nvidia_accelerator\" data-src=\"https:\/\/www.leawo.com\/knowledge\/wp-content\/uploads\/2013\/05\/open_a.jpg\" alt=\"\" width=\"480\" height=\"328\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 480px; --smush-placeholder-aspect-ratio: 480\/328;\" \/><\/p>\n<p>On other programs that still adopt old interface, click \u201cTools &gt; Options &gt; Conversion\u201d tab to open accelerating.<\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-13145 lazyload\" title=\"cuda-acceleration\" data-src=\"https:\/\/www.leawo.com\/knowledge\/wp-content\/uploads\/2013\/05\/cuda-acceleration.jpg\" alt=\"\" width=\"650\" height=\"600\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 650px; --smush-placeholder-aspect-ratio: 650\/600;\" \/><\/p>\n<h2>Operating system<\/h2>\n<p><strong>Operating System of CUDA<\/strong>:\u00a0 Windows 8\/Windows 7\/Windows Vista\/Windows XP\/Windows Server 2008\/Windows Server 2003\/<\/p>\n<h2>Supported Formats<\/h2>\n<p>Input Video Formats: AVI, MPEG, WMV, MP4, FLV, MKV, H.264\/MPEG-4, DivX, XviD, MOV, M4V, VOB, ASF, 3GP, 3G2, SWF, H.261, H.264, DV, DIF, MJPG, MJPEG, DVR-MS, NUT, QT, YUV, DAT, MPV, NSV AVCHD Video (*.mts, *.m2ts), H.264\/MPEG-4 AVC (*.mp4), MPEG2 HD Video (*.mpg; *.mpeg), MPEG-4 TS HD Video (*.ts), MPEG-2 TS HD Video (*.ts), Quick Time HD Video (*.mov), WMV HD Video (*.xwmv), Audio-Video Interleaved HD Video (*.avi)<br \/>\nOutput Video Formats: all video formats with H.264 codec<\/p>\n<h2>Supported NVIDIA GPUS for NVENC SDK<\/h2>\n<p>\u2022NVIDIA Quadro K4000 and above \u2013 Desktop Workstation<br \/>\n\u2022NVIDIA Quadro K2000M and above \u2013 Mobile Workstation<br \/>\n\u2022NVIDIA Tesla K10 and above \u2013 High Performance Computing<br \/>\n\u2022NVIDIA GRID \u2013 Virtual Desktops &amp; Applications<br \/>\n\u2022NVIDIA GeForce - Desktop and Mobile Computers<\/p>\n<p><strong>Note<\/strong>: New NVIDIA  graphic drivers that adopt NVENC SDK only support graphic cards with Kepler and  Maxwell architectures. To enable graphic cards accelerating, those non-Kepler-and-Maxwell  graphic cards need to install previous drivers. GeForce graphic cards need to  install 337.88 or previous versions, and Quadro\/Tesla graphic cards need to  install V341.05 or before. These drivers could be found here <a href=\"https:\/\/www.nvidia.com\/Download\/Find.aspx?lang=en-us\">https:\/\/www.nvidia.com\/Download\/Find.aspx?lang=en-us<\/a>. <\/p>\n<p>\n  For the features, specs and architectures of all graphic  cards, please click: <a href=\"https:\/\/www.geforce.com\/hardware\/desktop-gpus\">https:\/\/www.geforce.com\/hardware\/desktop-gpus<\/a>.<\/p>\n<p>The official explanation about NVENC SDK adopted by Leawo\u2019s  products is available here: <a href=\"https:\/\/developer.nvidia.com\/nvidia-video-codec-sdk\">https:\/\/developer.nvidia.com\/nvidia-video-codec-sdk<\/a>. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA GPUs power millions of desktops, notebooks, workstations and supercomputers around the world, accelerating computationally-intensive tasks for consumers, professionals, scientists, and researchers. To deliver better media conversion experience, Leawo\u2019s media converting solutions have been upgraded with\u00a0NVIDIA CUDA technology,\u00a0offering improved video &hellip;<\/p>\n<p class=\"read-more\"><a href=\"https:\/\/www.leawo.org\/entips\/nvidia-cuda-technology.html\">Read more &raquo;<\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[253,264,244,254],"tags":[],"class_list":["post-9450","post","type-post","status-publish","format-standard","hentry","category-backup-blu-ray","category-burning-software","category-dvd-software","category-top-blu-ray-copy-software"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO Pro 4.9.9 - aioseo.com -->\n\t<meta name=\"robots\" content=\"max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n\t<meta name=\"author\" content=\"David 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