{"id":1490,"date":"2024-01-24T13:39:48","date_gmt":"2024-01-24T10:39:48","guid":{"rendered":"https:\/\/supermicrosunucu.com\/blog\/?p=1490"},"modified":"2024-02-20T16:15:45","modified_gmt":"2024-02-20T13:15:45","slug":"nvidia-l4-gpu","status":"publish","type":"post","link":"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html","title":{"rendered":"NVIDIA L4 GPU"},"content":{"rendered":"<div class=\"header-standard header-classic single-header\">\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_66_1 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#NVIDIA_L4_GPU_Incelemesi_%E2%80%93_Dusuk_Guclu_Cikarim_Sihirbazi\" title=\"NVIDIA L4 GPU \u0130ncelemesi \u2013 D\u00fc\u015f\u00fck G\u00fc\u00e7l\u00fc \u00c7\u0131kar\u0131m Sihirbaz\u0131\">NVIDIA L4 GPU \u0130ncelemesi \u2013 D\u00fc\u015f\u00fck G\u00fc\u00e7l\u00fc \u00c7\u0131kar\u0131m Sihirbaz\u0131<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#NVIDIA_L4_GPU\" title=\"NVIDIA L4 GPU\">NVIDIA L4 GPU<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#MLPerf_Cikarimi_31_Performansi\" title=\"MLPerf \u00c7\u0131kar\u0131m\u0131 3.1 Performans\u0131\">MLPerf \u00c7\u0131kar\u0131m\u0131 3.1 Performans\u0131<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#1_x_NVIDIA_L4_%E2%80%93_Dell_PowerEdge_XR7620\" title=\"1 x NVIDIA L4 \u2013 Dell PowerEdge XR7620\">1 x NVIDIA L4 \u2013 Dell PowerEdge XR7620<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#1_2_ve_4_NVIDIA_L4ler_%E2%80%93_Dell_PowerEdge_T560\" title=\"1, 2 ve 4 NVIDIA L4&#8217;ler \u2013 Dell PowerEdge T560\">1, 2 ve 4 NVIDIA L4&#8217;ler \u2013 Dell PowerEdge T560<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#NVIDIA_L4_%E2%80%93_Uygulama_Performansi\" title=\"NVIDIA L4 \u2013 Uygulama Performans\u0131\">NVIDIA L4 \u2013 Uygulama Performans\u0131<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#Blender_OptiX_40\" title=\"Blender OptiX 4.0\">Blender OptiX 4.0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#Blackmagic_RAW_Hiz_Testi\" title=\"Blackmagic RAW H\u0131z Testi\">Blackmagic RAW H\u0131z Testi<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#Cinebench_2024_GPU\" title=\"Cinebench 2024 GPU\">Cinebench 2024 GPU<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#GPU_PIsi\" title=\"GPU PI&#8217;s\u0131\">GPU PI&#8217;s\u0131<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#Oktan_tezgahi\" title=\"Oktan tezgah\u0131\">Oktan tezgah\u0131<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#Geek_Bench_6_GPU\" title=\"Geek Bench 6 GPU\">Geek Bench 6 GPU<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#Luksmark\" title=\"L\u00fcksmark\">L\u00fcksmark<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#GROMACS_CUDA\" title=\"GROMACS CUDA\">GROMACS CUDA<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#Test_Gromaclarda_Ozel_Protein_Etkilesimi\" title=\"Test: Gromac&#8217;larda \u00d6zel Protein Etkile\u015fimi\">Test: Gromac&#8217;larda \u00d6zel Protein Etkile\u015fimi<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#Yapay_Zekadan_Daha_Fazlasi\" title=\"Yapay Zekadan Daha Fazlas\u0131\">Yapay Zekadan Daha Fazlas\u0131<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/supermicrosunucu.com\/blog\/nvidia-l4-gpu.html\/#Kapanis_Dusunceleri\" title=\"Kapan\u0131\u015f D\u00fc\u015f\u00fcnceleri\">Kapan\u0131\u015f D\u00fc\u015f\u00fcnceleri<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1 class=\"post-title single-post-title entry-title\"><span class=\"ez-toc-section\" id=\"NVIDIA_L4_GPU_Incelemesi_%E2%80%93_Dusuk_Guclu_Cikarim_Sihirbazi\"><\/span>NVIDIA L4 GPU \u0130ncelemesi \u2013 D\u00fc\u015f\u00fck G\u00fc\u00e7l\u00fc \u00c7\u0131kar\u0131m Sihirbaz\u0131<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<\/div>\n<div class=\"post-entry blockquote-style-2\">\n<div id=\"penci-post-entry-inner\" class=\"inner-post-entry entry-content\">\n<p>NVIDIA L4 GPU G\u00fcn\u00fcm\u00fcz\u00fcn yapay zeka d\u00fcnyas\u0131n\u0131n durmak bilmeyen yenilik selinde, \u00e7e\u015fitli donan\u0131m platformlar\u0131n\u0131n yeteneklerini \u00f6l\u00e7mek ve anlamak kritik \u00f6neme sahiptir. Yapay zekan\u0131n tamam\u0131 b\u00fcy\u00fck e\u011fitim GPU \u00e7iftlikleri gerektirmez; \u00e7\u0131kar\u0131m yapay zekas\u0131n\u0131n, \u00f6zellikle u\u00e7ta genellikle daha az GPU g\u00fcc\u00fc gerektiren \u00f6nemli bir b\u00f6l\u00fcm\u00fc vard\u0131r.\u00a0Bu incelemede, L4&#8217;\u00fcn nas\u0131l y\u0131\u011f\u0131ld\u0131\u011f\u0131n\u0131 g\u00f6rmek i\u00e7in \u00fc\u00e7 farkl\u0131 Dell sunucusundaki \u00e7e\u015fitli NVIDIA L4 GPU&#8217;lara ve MLperf dahil \u00e7e\u015fitli i\u015f y\u00fcklerine g\u00f6z ataca\u011f\u0131z.<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-medium wp-image-1581\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-Lab-5-1024x683-1-300x200.jpg\" alt=\"\" width=\"300\" height=\"200\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-Lab-5-1024x683-1-300x200.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-Lab-5-1024x683-1-768x512.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-Lab-5-1024x683-1.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<h2><span class=\"ez-toc-section\" id=\"NVIDIA_L4_GPU\"><\/span>NVIDIA L4 GPU<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>L4, \u00f6z\u00fcnde, y\u00fcksek hassasiyetli hesaplama g\u00f6revleri i\u00e7in ideal olan FP32 performans\u0131nda etkileyici bir 30,3 teraFLOP sunar.\u00a0Becerisi, derin \u00f6\u011frenme verimlili\u011fi i\u00e7in \u00e7ok \u00f6nemli olan TF32, FP16 ve BFLOAT16 Tens\u00f6r \u00c7ekirdekleri ile karma duyarl\u0131kl\u0131 hesaplamalara kadar uzan\u0131r; L4 Teknik \u00d6zellikler sayfas\u0131, 60 ila 121 teraFLOP aras\u0131ndaki performans\u0131 belirtir.<\/p>\n<p>D\u00fc\u015f\u00fck hassasiyetli g\u00f6revlerde L4, FP8 ve INT8 Tens\u00f6r \u00c7ekirdeklerinde 242,5 teraFLOP ile parlayarak sinir a\u011f\u0131 \u00e7\u0131kar\u0131m\u0131n\u0131 geli\u015ftirir.\u00a0300 GB\/s bant geni\u015fli\u011fiyle tamamlanan 24 GB GDDR6 belle\u011fi, b\u00fcy\u00fck veri k\u00fcmelerini ve karma\u015f\u0131k modelleri y\u00f6netebilmesini sa\u011flar.\u00a0L4&#8217;\u00fcn enerji verimlili\u011fi burada en \u00e7ok dikkat \u00e7eken noktad\u0131r; 72W TDP, onu \u00e7e\u015fitli bilgi i\u015flem ortamlar\u0131na uygun hale getirir.\u00a0Y\u00fcksek performans, bellek verimlili\u011fi ve d\u00fc\u015f\u00fck g\u00fc\u00e7 t\u00fcketiminin bu kar\u0131\u015f\u0131m\u0131, NVIDIA L4&#8217;\u00fc u\u00e7 bili\u015fim zorluklar\u0131 i\u00e7in cazip bir se\u00e7im haline getiriyor.<\/p>\n<p><img decoding=\"async\" class=\"alignnone size-medium wp-image-1582\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-4-1024x507-1-300x149.jpg\" alt=\"\" width=\"300\" height=\"149\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-4-1024x507-1-300x149.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-4-1024x507-1-768x380.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-4-1024x507-1.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<table border=\"1\">\n<thead>\n<tr>\n<th colspan=\"2\">NVIDIA L4 \u00d6zellikleri<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>FP 32<\/td>\n<td>30,3 teraFLOP<\/td>\n<\/tr>\n<tr>\n<td>TF32 Tens\u00f6r \u00c7ekirde\u011fi<\/td>\n<td>60 teraFLOP<\/td>\n<\/tr>\n<tr>\n<td>FP16 Tens\u00f6r \u00c7ekirde\u011fi<\/td>\n<td>121 teraFLOP<\/td>\n<\/tr>\n<tr>\n<td>BFLOAT16 Tens\u00f6r \u00c7ekirde\u011fi<\/td>\n<td>121 teraFLOP<\/td>\n<\/tr>\n<tr>\n<td>FP8 Tens\u00f6r \u00c7ekirde\u011fi<\/td>\n<td>242,5 teraFLOP<\/td>\n<\/tr>\n<tr>\n<td>INT8 Tens\u00f6r \u00c7ekirde\u011fi<\/td>\n<td>242,5 \u00dcST<\/td>\n<\/tr>\n<tr>\n<td>GPU Belle\u011fi<\/td>\n<td>24GB GDDR6<\/td>\n<\/tr>\n<tr>\n<td>GPU Bellek Bant Geni\u015fli\u011fi<\/td>\n<td>300 GB\/sn<\/td>\n<\/tr>\n<tr>\n<td>Maksimum Termal Tasar\u0131m G\u00fcc\u00fc (TDP)<\/td>\n<td>72W<\/td>\n<\/tr>\n<tr>\n<td>Form fakt\u00f6r\u00fc<\/td>\n<td>1 yuval\u0131 d\u00fc\u015f\u00fck profilli PCIe<\/td>\n<\/tr>\n<tr>\n<td>Ara ba\u011flant\u0131<\/td>\n<td>PCIe Gen4 x16<\/td>\n<\/tr>\n<tr>\n<td>Teknik \u00d6zellikler Tablosu<\/td>\n<td><a title=\"Yeni bir pencerede a\u00e7\u0131l\u0131r\" href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/l4\/#specifications\" target=\"_blank\" rel=\"noopener\">L4<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Tabii ki, L4&#8217;\u00fcn fiyat\u0131 2500 dolara yak\u0131n bir yerde, A2 kabaca yar\u0131 fiyat\u0131na geliyor ve eski (yine de olduk\u00e7a yetenekli) T4&#8217;\u00fcn 1000 dolar\u0131n alt\u0131nda bir fiyata mevcut olmas\u0131yla, bariz soru bu \u00fc\u00e7 \u00e7\u0131kar\u0131m GPU&#8217;su aras\u0131ndaki fark\u0131n ne oldu\u011fudur.<\/p>\n<table border=\"1\">\n<thead>\n<tr>\n<th><strong>NVIDIA L4, A2 ve T4 Teknik \u00d6zellikleri<\/strong><\/th>\n<th>NVIDIA L4<\/th>\n<th>NVIDIA A2<\/th>\n<th>NVIDIA T4<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>FP 32<\/td>\n<td>30,3 teraFLOP<\/td>\n<td>4,5 teraFLOP<\/td>\n<td>8.1 teraFLOP&#8217;lar<\/td>\n<\/tr>\n<tr>\n<td>TF32 Tens\u00f6r \u00c7ekirde\u011fi<\/td>\n<td>60 teraFLOP<\/td>\n<td>9 teraFLOP<\/td>\n<td>Yok<\/td>\n<\/tr>\n<tr>\n<td>FP16 Tens\u00f6r \u00c7ekirde\u011fi<\/td>\n<td>121 teraFLOP<\/td>\n<td>18 teraFLOP<\/td>\n<td>Yok<\/td>\n<\/tr>\n<tr>\n<td>BFLOAT16 Tens\u00f6r \u00c7ekirde\u011fi<\/td>\n<td>121 teraFLOP<\/td>\n<td>18 teraFLOP<\/td>\n<td>Yok<\/td>\n<\/tr>\n<tr>\n<td>FP8 Tens\u00f6r \u00c7ekirde\u011fi<\/td>\n<td>242,5 teraFLOP<\/td>\n<td>Yok<\/td>\n<td>Yok<\/td>\n<\/tr>\n<tr>\n<td>INT8 Tens\u00f6r \u00c7ekirde\u011fi<\/td>\n<td>242,5 \u00dcST<\/td>\n<td>36 \u00dcST<\/td>\n<td>130 \u00dcST<\/td>\n<\/tr>\n<tr>\n<td>GPU Belle\u011fi<\/td>\n<td>24GB GDDR6<\/td>\n<td>16GB GDDR6<\/td>\n<td>16GB GDDR6<\/td>\n<\/tr>\n<tr>\n<td>GPU Bellek Bant Geni\u015fli\u011fi<\/td>\n<td>300 GB\/sn<\/td>\n<td>200 GB\/sn<\/td>\n<td>320+ GB\/sn<\/td>\n<\/tr>\n<tr>\n<td>Maksimum Termal Tasar\u0131m G\u00fcc\u00fc (TDP)<\/td>\n<td>72W<\/td>\n<td>40-60W<\/td>\n<td>70W<\/td>\n<\/tr>\n<tr>\n<td>Form fakt\u00f6r\u00fc<\/td>\n<td colspan=\"3\">1 yuval\u0131 d\u00fc\u015f\u00fck profilli PCIe<\/td>\n<\/tr>\n<tr>\n<td>Ara ba\u011flant\u0131<\/td>\n<td>PCIe Gen4 x16<\/td>\n<td>PCIe Gen4 x8<\/td>\n<td>PCIe Gen3 x16<\/td>\n<\/tr>\n<tr>\n<td>Teknik \u00d6zellikler Tablosu<\/td>\n<td><a title=\"Yeni bir pencerede a\u00e7\u0131l\u0131r\" href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/l4\/#specifications\" target=\"_blank\" rel=\"noopener\">L4<\/a><\/td>\n<td><a title=\"Yeni bir pencerede a\u00e7\u0131l\u0131r\" href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/products\/a2\/#specification\" target=\"_blank\" rel=\"noopener\">A2<\/a><\/td>\n<td><a title=\"Yeni bir pencerede a\u00e7\u0131l\u0131r\" href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/tesla-t4\/\" target=\"_blank\" rel=\"noopener\">T4<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Bu \u00fc\u00e7 karta bakarken anla\u015f\u0131lmas\u0131 gereken bir \u015fey, bunlar\u0131n tam olarak nesiller boyu bire bir de\u011fi\u015fim olmad\u0131\u011f\u0131d\u0131r; bu da T4&#8217;\u00fcn neden y\u0131llar sonra hala baz\u0131 kullan\u0131m durumlar\u0131 i\u00e7in pop\u00fcler bir se\u00e7im olarak kald\u0131\u011f\u0131n\u0131 a\u00e7\u0131kl\u0131yor.\u00a0A2, d\u00fc\u015f\u00fck g\u00fc\u00e7l\u00fc ve daha uyumlu (x8&#8217;e kar\u015f\u0131 x16 mekanik) bir se\u00e7enek olarak T4&#8217;\u00fcn yerini almak \u00fczere ortaya \u00e7\u0131kt\u0131.\u00a0Teknik olarak L4, T4&#8217;\u00fcn yerini al\u0131yor ve A2, gelecekte bir noktada yenilenebilecek veya yenilenemeyecek bir arada yer al\u0131yor.<\/p>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"MLPerf_Cikarimi_31_Performansi\"><\/span>MLPerf \u00c7\u0131kar\u0131m\u0131 3.1 Performans\u0131<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>MLPerf, adil ve ilgili AI donan\u0131m ve yaz\u0131l\u0131m k\u0131yaslamalar\u0131n\u0131 sa\u011flamak i\u00e7in kurulmu\u015f, akademi, ara\u015ft\u0131rma ve end\u00fcstriden AI liderlerinden olu\u015fan bir konsorsiyumdur.\u00a0Bu k\u0131yaslamalar, makine \u00f6\u011frenimi donan\u0131m\u0131n\u0131n, yaz\u0131l\u0131m\u0131n\u0131n ve hizmetlerinin \u00e7e\u015fitli g\u00f6rev ve senaryolardaki performans\u0131n\u0131 \u00f6l\u00e7mek i\u00e7in tasarlanm\u0131\u015ft\u0131r.<\/p>\n<p>Testlerimiz iki spesifik MLPerf kriterine odaklanmaktad\u0131r: Resnet50 ve BERT.<\/p>\n<ul>\n<li>Resnet50: Bu, \u00f6ncelikle g\u00f6r\u00fcnt\u00fc s\u0131n\u0131fland\u0131rmas\u0131 i\u00e7in kullan\u0131lan evri\u015fimli bir sinir a\u011f\u0131d\u0131r.\u00a0Bu, bir sistemin g\u00f6r\u00fcnt\u00fc i\u015flemeyle ilgili derin \u00f6\u011frenme g\u00f6revlerini ne kadar iyi yerine getirebilece\u011finin iyi bir g\u00f6stergesidir.<\/li>\n<li>BERT (Transformat\u00f6rlerden \u00c7ift Y\u00f6nl\u00fc Kodlay\u0131c\u0131 G\u00f6sterimleri): Bu k\u0131yaslama, do\u011fal dil i\u015fleme g\u00f6revlerine odaklanarak bir sistemin insan dilini anlama ve i\u015fleme konusunda nas\u0131l performans g\u00f6sterdi\u011fine dair bilgiler sunar.<\/li>\n<\/ul>\n<p>Bu testlerin her ikisi de yapay zeka donan\u0131m\u0131n\u0131n g\u00f6r\u00fcnt\u00fc ve dil i\u015flemeyi i\u00e7eren ger\u00e7ek d\u00fcnya senaryolar\u0131ndaki yeteneklerini de\u011ferlendirmek i\u00e7in \u00e7ok \u00f6nemlidir.<\/p>\n<p>NVIDIA L4&#8217;\u00fc bu k\u0131yaslamalarla de\u011ferlendirmek, L4 GPU&#8217;nun belirli yapay zeka g\u00f6revlerindeki yeteneklerinin anla\u015f\u0131lmas\u0131na yard\u0131mc\u0131 olmak a\u00e7\u0131s\u0131ndan kritik \u00f6neme sahiptir.\u00a0Ayr\u0131ca farkl\u0131 konfig\u00fcrasyonlar\u0131n (tekli, ikili ve d\u00f6rtl\u00fc kurulumlar) performans\u0131 nas\u0131l etkiledi\u011fine dair bilgiler sunar.\u00a0Bu bilgiler, yapay zeka altyap\u0131lar\u0131n\u0131 optimize etmek isteyen profesyoneller ve kurulu\u015flar i\u00e7in hayati \u00f6neme sahiptir.<\/p>\n<p>Modeller iki temel modda \u00e7al\u0131\u015f\u0131r: Sunucu ve \u00c7evrimd\u0131\u015f\u0131.<\/p>\n<ul>\n<li>\u00c7evrimd\u0131\u015f\u0131 Mod: Bu mod, t\u00fcm veriler ayn\u0131 anda i\u015flenmeye uygun oldu\u011funda sistemin performans\u0131n\u0131 \u00f6l\u00e7er.\u00a0Sistemin b\u00fcy\u00fck bir veri k\u00fcmesini tek bir toplu i\u015f halinde i\u015fledi\u011fi toplu i\u015fleme benzer.\u00a0\u00c7evrimd\u0131\u015f\u0131 mod, gecikmenin birincil sorun olmad\u0131\u011f\u0131 ancak aktar\u0131m h\u0131z\u0131 ve verimlili\u011fin \u00f6nemli oldu\u011fu senaryolar i\u00e7in \u00e7ok \u00f6nemlidir.<\/li>\n<li>Sunucu Modu: Buna kar\u015f\u0131l\u0131k, sunucu modu, isteklerin teker teker geldi\u011fi ger\u00e7ek d\u00fcnya sunucu ortam\u0131n\u0131 taklit eden bir senaryoda sistemin performans\u0131n\u0131 de\u011ferlendirir.\u00a0Bu mod gecikmeye duyarl\u0131d\u0131r ve sistemin her iste\u011fe ne kadar h\u0131zl\u0131 yan\u0131t verebilece\u011fini \u00f6l\u00e7er.\u00a0An\u0131nda m\u00fcdahalenin gerekli oldu\u011fu web sunucular\u0131 veya etkile\u015fimli uygulamalar gibi ger\u00e7ek zamanl\u0131 uygulamalar i\u00e7in gereklidir.<\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"1_x_NVIDIA_L4_%E2%80%93_Dell_PowerEdge_XR7620\"><\/span>1 x NVIDIA L4 \u2013 Dell PowerEdge XR7620<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><img decoding=\"async\" class=\"alignnone size-medium wp-image-1584\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-Dell-PowerEdge-XR7620-Case-5-1024x683-1-300x200.jpg\" alt=\"\" width=\"300\" height=\"200\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-Dell-PowerEdge-XR7620-Case-5-1024x683-1-300x200.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-Dell-PowerEdge-XR7620-Case-5-1024x683-1-768x512.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-Dell-PowerEdge-XR7620-Case-5-1024x683-1.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p><a href=\"https:\/\/www.storagereview.com\/review\/dell-poweredge-xr7620-review-acceleration-for-the-edge\">Tek bir NVIDIA L4 ile donat\u0131lm\u0131\u015f Dell PowerEdge XR7620&#8217;ye<\/a>\u00a0ili\u015fkin son incelememizin bir par\u00e7as\u0131 olarak\u00a0, MLPerf de dahil olmak \u00fczere \u00e7e\u015fitli g\u00f6revleri y\u00fcr\u00fctmek i\u00e7in onu en u\u00e7 noktaya ta\u015f\u0131d\u0131k.<\/p>\n<p>Test sistemi konfig\u00fcrasyonumuz a\u015fa\u011f\u0131daki bile\u015fenleri i\u00e7eriyordu:<\/p>\n<ul>\n<li>2 x Xeon Gold 6426Y \u2013 16 \u00e7ekirdekli 2,5 GHz<\/li>\n<li>1 xNVIDIA L4<\/li>\n<li>8 x 16 GB DDR5<\/li>\n<li>480 GB BOSS RAID1<\/li>\n<li>Ubuntu Sunucusu 22.04<\/li>\n<li>NVIDIA S\u00fcr\u00fcc\u00fcs\u00fc 535<\/li>\n<\/ul>\n<table width=\"323\">\n<tbody>\n<tr>\n<th>Dell PowerEdge XR7620 1x NVIDIA L4<\/th>\n<th>Gol<\/th>\n<\/tr>\n<tr>\n<td width=\"236\">Resnet50 \u2013 Sunucu<\/td>\n<td width=\"87\">12.204,40<\/td>\n<\/tr>\n<tr>\n<td>Resnet50 \u2013 \u00c7evrimd\u0131\u015f\u0131<\/td>\n<td>13.010,20<\/td>\n<\/tr>\n<tr>\n<td>BERT K99 \u2013 Sunucu<\/td>\n<td>898.945<\/td>\n<\/tr>\n<tr>\n<td>BERT K99 \u2013 \u00c7evrimd\u0131\u015f\u0131<\/td>\n<td>973.435<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Resnet50 ve BERT K99 i\u00e7in sunucu ve \u00e7evrimd\u0131\u015f\u0131 senaryolardaki performans neredeyse ayn\u0131d\u0131r; bu da L4&#8217;\u00fcn farkl\u0131 sunucu modellerinde tutarl\u0131 performans\u0131 korudu\u011funu g\u00f6sterir.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"1_2_ve_4_NVIDIA_L4ler_%E2%80%93_Dell_PowerEdge_T560\"><\/span>1, 2 ve 4 NVIDIA L4&#8217;ler \u2013 Dell PowerEdge T560<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-1585\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-Dell-PowerEdge-T560-06-1024x683-1-300x200.jpg\" alt=\"\" width=\"300\" height=\"200\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-Dell-PowerEdge-T560-06-1024x683-1-300x200.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-Dell-PowerEdge-T560-06-1024x683-1-768x512.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-Dell-PowerEdge-T560-06-1024x683-1.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>\u0130nceleme birimi yap\u0131land\u0131rmam\u0131z a\u015fa\u011f\u0131daki bile\u015fenleri i\u00e7eriyordu:<\/p>\n<ul>\n<li>2 x Intel Xeon Gold 6448Y (her biri 32 \u00e7ekirdek\/64 i\u015f par\u00e7ac\u0131\u011f\u0131, 225 watt TDP, 2,1-4,1 GHz)<\/li>\n<li>PERC 12 RAID kart\u0131yla 8 x 1,6 TB Solidigm P5520 SSD<\/li>\n<li>1-4x NVIDIA L4 GPU&#8217;lar<\/li>\n<li>8 x 64 GB RDIMM&#8217;ler<\/li>\n<li>Ubuntu Sunucusu 22.04<\/li>\n<li>NVIDIA S\u00fcr\u00fcc\u00fcs\u00fc 535<\/li>\n<\/ul>\n<div class=\"c-files_container\" role=\"none\" data-qa=\"message_kit_files\">\n<div class=\"c-message_kit__file__meta\">U\u00e7tan veri merkezine geri d\u00f6nd\u00fc\u011f\u00fcm\u00fczde ve\u00a0<a href=\"https:\/\/www.storagereview.com\/review\/dell-poweredge-t560-tower-server-review\">\u00e7ok y\u00f6nl\u00fc Dell T560 Tower<\/a>\u00a0sunucuyu kulland\u0131\u011f\u0131m\u0131zda, L4&#8217;\u00fcn tek GPU testinde de ayn\u0131 performans\u0131 g\u00f6sterdi\u011fini fark ettik.\u00a0Bu, her iki platformun da L4&#8217;e darbo\u011faz olmadan sa\u011flam bir temel sa\u011flayabilece\u011fini g\u00f6steriyor.<\/div>\n<\/div>\n<table width=\"323\">\n<tbody>\n<tr>\n<th>Dell PowerEdge T560 1x NVIDIA L4<\/th>\n<th>Gol<\/th>\n<\/tr>\n<tr>\n<td width=\"236\">Resnet50 \u2013 Sunucu<\/td>\n<td width=\"87\">12.204,40<\/td>\n<\/tr>\n<tr>\n<td>Resnet50 \u2013 \u00c7evrimd\u0131\u015f\u0131<\/td>\n<td>12.872,10<\/td>\n<\/tr>\n<tr>\n<td>Bert K99 \u2013 Sunucu<\/td>\n<td>898.945<\/td>\n<\/tr>\n<tr>\n<td>Bert K99 \u2013 \u00c7evrimd\u0131\u015f\u0131<\/td>\n<td>945.146<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Dell T560&#8217;taki iki L4 ile yapt\u0131\u011f\u0131m\u0131z testlerde, hem Resnet50 hem de BERT K99 testleri i\u00e7in performansta bu do\u011frusala yak\u0131n \u00f6l\u00e7eklendirmeyi g\u00f6zlemledik.\u00a0Bu \u00f6l\u00e7eklendirme, L4 GPU&#8217;lar\u0131n verimlili\u011finin ve genel gider veya verimsizlik nedeniyle \u00f6nemli kay\u0131plar olmadan birlikte \u00e7al\u0131\u015fabilme yeteneklerinin bir kan\u0131t\u0131d\u0131r.<\/p>\n<table width=\"323\">\n<tbody>\n<tr>\n<th>Dell PowerEdge T560 2x NVIDIA L4<\/th>\n<th>Gol<\/th>\n<\/tr>\n<tr>\n<td width=\"236\">Resnet50 \u2013 Sunucu<\/td>\n<td width=\"87\">24.407,50<\/td>\n<\/tr>\n<tr>\n<td>Resnet50 \u2013 \u00c7evrimd\u0131\u015f\u0131<\/td>\n<td>25.463,20<\/td>\n<\/tr>\n<tr>\n<td>BERT K99 \u2013 Sunucu<\/td>\n<td>1.801,28<\/td>\n<\/tr>\n<tr>\n<td>BERT K99 \u2013 \u00c7evrimd\u0131\u015f\u0131<\/td>\n<td>1.904,10<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u0130ki NVIDIA L4 GPU ile tan\u0131k oldu\u011fumuz tutarl\u0131 do\u011frusal \u00f6l\u00e7eklendirme, etkileyici bir \u015fekilde d\u00f6rt L4 birimi i\u00e7eren yap\u0131land\u0131rmalara kadar uzan\u0131yor.\u00a0Paralel i\u015fleme ve kaynak y\u00f6netiminin karma\u015f\u0131kl\u0131\u011f\u0131 nedeniyle, eklenen her GPU ile do\u011frusal performans kazan\u0131mlar\u0131n\u0131 korumak giderek zorla\u015ft\u0131\u011f\u0131ndan, bu \u00f6l\u00e7eklendirme \u00f6zellikle dikkate de\u011ferdir.<\/p>\n<table width=\"323\">\n<tbody>\n<tr>\n<th>Dell PowerEdge T560 4x NVIDIA L4<\/th>\n<th>Gol<\/th>\n<\/tr>\n<tr>\n<td width=\"236\">Resnet50 \u2013 Sunucu<\/td>\n<td width=\"87\">48.818,30<\/td>\n<\/tr>\n<tr>\n<td>Resnet50 \u2013 \u00c7evrimd\u0131\u015f\u0131<\/td>\n<td>51.381,70<\/td>\n<\/tr>\n<tr>\n<td>BERT K99 \u2013 Sunucu<\/td>\n<td>3.604,96<\/td>\n<\/tr>\n<tr>\n<td>BERT K99 \u2013 \u00c7evrimd\u0131\u015f\u0131<\/td>\n<td>3.821,46<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Bu sonu\u00e7lar yaln\u0131zca a\u00e7\u0131klama ama\u00e7l\u0131d\u0131r; rekabet\u00e7i veya resmi MLPerf sonu\u00e7lar\u0131 de\u011fildir.\u00a0Resmi sonu\u00e7lar\u0131n tam listesi i\u00e7in l\u00fctfen\u00a0<a title=\"Yeni bir pencerede a\u00e7\u0131l\u0131r\" href=\"https:\/\/mlcommons.org\/benchmarks\/inference-datacenter\/\" target=\"_blank\" rel=\"noopener\">MLPerf Sonu\u00e7lar\u0131 Sayfas\u0131n\u0131 ziyaret edin<\/a>\u00a0.<\/p>\n<p>Laboratuvardaki testlerimiz, NVIDIA L4 GPU&#8217;lar\u0131n do\u011frusal \u00f6l\u00e7eklenebilirli\u011fini do\u011frulaman\u0131n yan\u0131 s\u0131ra, bu birimlerin farkl\u0131 operasyonel senaryolarda konu\u015fland\u0131r\u0131lmas\u0131n\u0131n pratik sonu\u00e7lar\u0131na \u0131\u015f\u0131k tutuyor.\u00a0\u00d6rne\u011fin, L4 GPU&#8217;larla t\u00fcm yap\u0131land\u0131rmalarda sunucu ve \u00e7evrimd\u0131\u015f\u0131 modlar aras\u0131ndaki performans tutarl\u0131l\u0131\u011f\u0131, bunlar\u0131n g\u00fcvenilirli\u011fini ve \u00e7ok y\u00f6nl\u00fcl\u00fc\u011f\u00fcn\u00fc ortaya koyuyor.<\/p>\n<p>Bu husus \u00f6zellikle operasyonel ba\u011flamlar\u0131n \u00f6nemli \u00f6l\u00e7\u00fcde farkl\u0131l\u0131k g\u00f6sterdi\u011fi i\u015fletmeler ve ara\u015ft\u0131rma kurumlar\u0131 i\u00e7in ge\u00e7erlidir.\u00a0Ayr\u0131ca, ara ba\u011flant\u0131 darbo\u011fazlar\u0131n\u0131n minimum etkisi ve \u00e7oklu GPU kurulumlar\u0131nda GPU senkronizasyonunun verimlili\u011fi hakk\u0131ndaki g\u00f6zlemlerimiz, yapay zeka altyap\u0131lar\u0131n\u0131 \u00f6l\u00e7eklendirmek isteyenler i\u00e7in de\u011ferli bilgiler sa\u011fl\u0131yor.\u00a0Bu bilgiler, yaln\u0131zca kar\u015f\u0131la\u015ft\u0131rmal\u0131 de\u011ferlendirme rakamlar\u0131n\u0131n \u00f6tesine ge\u00e7erek, bu t\u00fcr donan\u0131mlar\u0131n ger\u00e7ek d\u00fcnya senaryolar\u0131nda en iyi \u015fekilde nas\u0131l kullan\u0131labilece\u011fine dair daha derin bir anlay\u0131\u015f sunarak, yapay zeka ve HPC altyap\u0131s\u0131nda daha iyi mimari kararlara ve yat\u0131r\u0131m stratejilerine yol g\u00f6sterir.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"NVIDIA_L4_%E2%80%93_Uygulama_Performansi\"><\/span>NVIDIA L4 \u2013 Uygulama Performans\u0131<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Yeni NVIDIA L4&#8217;\u00fcn performans\u0131n\u0131 kendisinden \u00f6nceki NVIDIA A2 ve NVIDIA T4 ile kar\u015f\u0131la\u015ft\u0131rd\u0131k.\u00a0\u00d6nceki modellere g\u00f6re bu performans y\u00fckseltmesini sergilemek i\u00e7in, t\u00fcm \u00fc\u00e7 modeli de laboratuvar\u0131m\u0131zdaki bir sunucuya, Windows Server 2022 ve en yeni NVIDIA s\u00fcr\u00fcc\u00fcleri ile GPU test paketimizin tamam\u0131ndan yararlanarak yerle\u015ftirdik.<\/p>\n<p>Bu kartlar a\u015fa\u011f\u0131daki yap\u0131land\u0131rmaya sahip bir\u00a0<a href=\"https:\/\/www.storagereview.com\/review\/dell-poweredge-r760-review\">Dell Poweredge R760<\/a>\u00a0\u00fczerinde test edilmi\u015ftir :<\/p>\n<ul>\n<li>2 x Intel Xeon Gold 6430 (32 \u00c7ekirdek, 2,1 GHz)<\/li>\n<li>Windows Sunucusu 2022<\/li>\n<li>NVIDIA S\u00fcr\u00fcc\u00fcs\u00fc 538.15<\/li>\n<li>1x \u00f6rnekleme i\u00e7in t\u00fcm kartlarda ECC Devre D\u0131\u015f\u0131<\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-1586\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-2-1024x746-1-300x219.jpg\" alt=\"\" width=\"300\" height=\"219\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-2-1024x746-1-300x219.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-2-1024x746-1-768x560.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-2-1024x746-1.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>\u00dc\u00e7 kurumsal GPU&#8217;dan olu\u015fan bu grup aras\u0131ndaki performans testini ba\u015flat\u0131rken, \u00f6nceki A2 ve T4 modelleri aras\u0131ndaki benzersiz performans farklar\u0131na dikkat etmek \u00f6nemlidir.\u00a0A2 piyasaya s\u00fcr\u00fcld\u00fc\u011f\u00fcnde, daha d\u00fc\u015f\u00fck g\u00fc\u00e7 t\u00fcketimi ve eski T4&#8217;\u00fcn gerektirdi\u011fi daha b\u00fcy\u00fck PCIe Gen3 x16 yuvas\u0131 yerine daha k\u00fc\u00e7\u00fck bir PCIe Gen4 x8 yuvas\u0131nda \u00e7al\u0131\u015fma gibi baz\u0131 \u00f6nemli iyile\u015ftirmeler sunuyordu.\u00a0En ba\u015f\u0131ndan itibaren, \u00f6zellikle ihtiya\u00e7 duyulan daha k\u00fc\u00e7\u00fck ayak iziyle daha fazla sisteme yerle\u015ftirilmesine olanak sa\u011flad\u0131.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Blender_OptiX_40\"><\/span>Blender OptiX 4.0<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Blender OptiX a\u00e7\u0131k kaynakl\u0131 bir 3D modelleme uygulamas\u0131d\u0131r.\u00a0Bu test hem CPU hem de GPU i\u00e7in \u00e7al\u0131\u015ft\u0131r\u0131labilir, ancak burada di\u011fer \u00e7o\u011fu test gibi yaln\u0131zca GPU&#8217;yu yapt\u0131k.\u00a0Bu k\u0131yaslama, Blender Benchmark CLI yard\u0131mc\u0131 program\u0131 kullan\u0131larak \u00e7al\u0131\u015ft\u0131r\u0131ld\u0131.\u00a0Puan, dakika ba\u015f\u0131na \u00f6rnek say\u0131s\u0131d\u0131r; daha y\u00fcksek, daha iyidir.<\/p>\n<table>\n<tbody>\n<tr>\n<th>Blender 4.0\u00a0(Daha Y\u00fcksek Daha \u0130yidir)<\/th>\n<th>NVIDIA L4<\/th>\n<th>NVIDIA A2<\/th>\n<th>Nvidia T4<\/th>\n<\/tr>\n<tr>\n<td>GPU Kar\u0131\u015ft\u0131r\u0131c\u0131 CLI \u2013 Canavar<\/td>\n<td>2.207.765<\/td>\n<td>458.692<\/td>\n<td>850.076<\/td>\n<\/tr>\n<tr>\n<td>GPU Blender CLI \u2013 Junkshop<\/td>\n<td>1.127.829<\/td>\n<td>292.553<\/td>\n<td>517.243<\/td>\n<\/tr>\n<tr>\n<td>GPU Blender CLI \u2013 S\u0131n\u0131f<\/td>\n<td>1.111.753<\/td>\n<td>262.387<\/td>\n<td>478.786<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4><span class=\"ez-toc-section\" id=\"Blackmagic_RAW_Hiz_Testi\"><\/span>Blackmagic RAW H\u0131z Testi<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>CPU&#8217;lar\u0131 ve GPU&#8217;lar\u0131, Blackmagic&#8217;in video oynatma h\u0131zlar\u0131n\u0131 test eden RAW H\u0131z Testi ile test ediyoruz.\u00a0Bu daha \u00e7ok ger\u00e7ek d\u00fcnyadaki RAW kod \u00e7\u00f6zme i\u00e7in CPU ve GPU performans\u0131n\u0131 i\u00e7eren hibrit bir testtir.\u00a0Bunlar ayr\u0131 sonu\u00e7lar olarak g\u00f6r\u00fcnt\u00fclenir ancak burada yaln\u0131zca GPU&#8217;lara odaklan\u0131yoruz, bu nedenle CPU sonu\u00e7lar\u0131 atland\u0131.<\/p>\n<table>\n<tbody>\n<tr>\n<th>Blackmagic RAW H\u0131z Testi\u00a0(Daha Y\u00fcksek Daha \u0130yidir)<\/th>\n<th>NVIDIA L4<\/th>\n<th>NVIDIA A2<\/th>\n<th>NVIDIA T4<\/th>\n<\/tr>\n<tr>\n<td>8K CUDA<\/td>\n<td>95 FPS<\/td>\n<td>38 FPS<\/td>\n<td>53 FPS<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4><span class=\"ez-toc-section\" id=\"Cinebench_2024_GPU\"><\/span>Cinebench 2024 GPU<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Maxon&#8217;un Cinebench 2024&#8217;\u00fc, t\u00fcm CPU \u00e7ekirdeklerini ve i\u015f par\u00e7ac\u0131klar\u0131n\u0131 kullanan bir CPU ve GPU olu\u015fturma kar\u015f\u0131la\u015ft\u0131rmas\u0131d\u0131r.\u00a0Yine GPU sonu\u00e7lar\u0131na odakland\u0131\u011f\u0131m\u0131z i\u00e7in testin CPU b\u00f6l\u00fcmlerini \u00e7al\u0131\u015ft\u0131rmad\u0131k.\u00a0Daha Y\u00fcksek Puanlar Daha \u0130yidir.<\/p>\n<table>\n<tbody>\n<tr>\n<th>Cinebench 2024\u00a0(Daha Y\u00fcksek Daha \u0130yidir)<\/th>\n<th>NVIDIA L4<\/th>\n<th>NVIDIA A2<\/th>\n<th>NVIDIA T4<\/th>\n<\/tr>\n<tr>\n<td>GPU<\/td>\n<td>15.263<\/td>\n<td>4.006<\/td>\n<td>5.644<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4><span class=\"ez-toc-section\" id=\"GPU_PIsi\"><\/span>GPU PI&#8217;s\u0131<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>GPUPI 3.3.3, GPU&#8217;lar ve CPU&#8217;lar arac\u0131l\u0131\u011f\u0131yla donan\u0131m h\u0131zland\u0131rmay\u0131 kullanarak \u03c0 (pi)&#8217;yi milyarlarca ondal\u0131k say\u0131ya kadar hesaplamak i\u00e7in tasarlanm\u0131\u015f hafif k\u0131yaslama yard\u0131mc\u0131 program\u0131n\u0131n bir s\u00fcr\u00fcm\u00fcd\u00fcr.\u00a0Hem merkezi hem de grafik i\u015flem birimlerini i\u00e7eren OpenCL ve CUDA&#8217;n\u0131n bilgi i\u015flem g\u00fcc\u00fcnden yararlan\u0131r.\u00a0CUDA&#8217;y\u0131 yaln\u0131zca 3 GPU&#8217;nun tamam\u0131nda \u00e7al\u0131\u015ft\u0131rd\u0131k ve buradaki say\u0131lar, azaltma s\u00fcresi eklenmeden hesaplama s\u00fcresidir.\u00a0Al\u00e7ak daha iyi.<\/p>\n<table>\n<tbody>\n<tr>\n<th>Saniye cinsinden GPU PI Hesaplama S\u00fcresi\u00a0(Daha D\u00fc\u015f\u00fck Daha \u0130yidir)<\/th>\n<th>NVIDIA L4<\/th>\n<th>NVIDIA A2<\/th>\n<th>NVIDIA T4<\/th>\n<\/tr>\n<tr>\n<td>GPUPI v3.3 \u2013 1B<\/td>\n<td>3.732s<\/td>\n<td>19.799&#8217;lar<\/td>\n<td>7.504s<\/td>\n<\/tr>\n<tr>\n<td>GPUPI v3.3 \u2013 32B<\/td>\n<td>244.380&#8217;ler<\/td>\n<td>1.210.801s<\/td>\n<td>486.231s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u00d6nceki sonu\u00e7lar her kart\u0131n yaln\u0131zca tek bir yinelemesini incelerken, ayn\u0131 zamanda\u00a0<a href=\"https:\/\/www.storagereview.com\/review\/dell-poweredge-t560-tower-server-review\">Dell PowerEdge T560<\/a>\u00a0i\u00e7indeki 5x NVIDIA L4 da\u011f\u0131t\u0131m\u0131na da bakma \u015fans\u0131m\u0131z oldu .<\/p>\n<table>\n<tbody>\n<tr>\n<th>Saniye cinsinden GPU PI Hesaplama S\u00fcresi\u00a0(Daha D\u00fc\u015f\u00fck Daha \u0130yidir)<\/th>\n<th>5x NVIDIA L4 ile Dell PowerEdge T560 (2x Xeon Gold 6448Y)<\/th>\n<\/tr>\n<tr>\n<td>GPUPI v3.3 \u2013 1B<\/td>\n<td>0sn 850ms<\/td>\n<\/tr>\n<tr>\n<td>GPUPI v3.3 \u2013 32B<\/td>\n<td>50 saniye 361 ms<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4><span class=\"ez-toc-section\" id=\"Oktan_tezgahi\"><\/span>Oktan tezgah\u0131<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>OctaneBench, V-Ray&#8217;e benzer RTX deste\u011fine sahip ba\u015fka bir 3D olu\u015fturucu olan OctaneRender i\u00e7in bir k\u0131yaslama arac\u0131d\u0131r.<\/p>\n<table>\n<tbody>\n<tr>\n<td colspan=\"3\" width=\"623\">\u00a0<strong>Oktan (Daha Y\u00fcksek Daha \u0130yidir)<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"208\"><strong>Sahne<\/strong><\/td>\n<td width=\"208\"><strong>\u00c7ekirdek<\/strong><\/td>\n<td width=\"208\"><b>NVIDIA L4<\/b><\/td>\n<td width=\"208\"><b>NVIDIA A2<\/b><\/td>\n<td width=\"208\"><b>NVIDIA T4<\/b><\/td>\n<\/tr>\n<tr>\n<td width=\"208\">\u0130\u00e7 mekan<\/td>\n<td width=\"208\">Bilgi kanallar\u0131<\/td>\n<td width=\"208\">15.59<\/td>\n<td width=\"208\">4.49<\/td>\n<td width=\"208\">6.39<\/td>\n<\/tr>\n<tr>\n<td width=\"208\"><\/td>\n<td width=\"208\">Do\u011frudan ayd\u0131nlatma<\/td>\n<td width=\"208\">50.85<\/td>\n<td width=\"208\">14.32<\/td>\n<td width=\"208\">21.76<\/td>\n<\/tr>\n<tr>\n<td width=\"208\"><\/td>\n<td width=\"208\">Yol izleme<\/td>\n<td width=\"208\">64.02<\/td>\n<td width=\"208\">18.46<\/td>\n<td width=\"208\">25.76<\/td>\n<\/tr>\n<tr>\n<td width=\"208\">Fikir<\/td>\n<td width=\"208\">Bilgi kanallar\u0131<\/td>\n<td width=\"208\">9.30<\/td>\n<td width=\"208\">2.77<\/td>\n<td width=\"208\">3.93<\/td>\n<\/tr>\n<tr>\n<td width=\"208\"><\/td>\n<td width=\"208\">Do\u011frudan ayd\u0131nlatma<\/td>\n<td width=\"208\">39.34<\/td>\n<td width=\"208\">11.53<\/td>\n<td width=\"208\">16.79<\/td>\n<\/tr>\n<tr>\n<td width=\"208\"><\/td>\n<td width=\"208\">Yol izleme<\/td>\n<td width=\"208\">48.24<\/td>\n<td width=\"208\">14.21<\/td>\n<td width=\"208\">20.32<\/td>\n<\/tr>\n<tr>\n<td width=\"208\">ATV&#8217;ler<\/td>\n<td width=\"208\">Bilgi kanallar\u0131<\/td>\n<td width=\"208\">24.38<\/td>\n<td width=\"208\">6.83<\/td>\n<td width=\"208\">9.50<\/td>\n<\/tr>\n<tr>\n<td width=\"208\"><\/td>\n<td width=\"208\">Do\u011frudan ayd\u0131nlatma<\/td>\n<td width=\"208\">54.86<\/td>\n<td width=\"208\">16.05<\/td>\n<td width=\"208\">21.98<\/td>\n<\/tr>\n<tr>\n<td width=\"208\"><\/td>\n<td width=\"208\">Yol izleme<\/td>\n<td width=\"208\">68.98<\/td>\n<td width=\"208\">20.06<\/td>\n<td width=\"208\">27.50<\/td>\n<\/tr>\n<tr>\n<td width=\"208\">Kutu<\/td>\n<td width=\"208\">Bilgi kanallar\u0131<\/td>\n<td width=\"208\">12.89<\/td>\n<td width=\"208\">3.88<\/td>\n<td width=\"208\">5.42<\/td>\n<\/tr>\n<tr>\n<td width=\"208\"><\/td>\n<td width=\"208\">Do\u011frudan ayd\u0131nlatma<\/td>\n<td width=\"208\">48.80<\/td>\n<td width=\"208\">14.59<\/td>\n<td width=\"208\">21.36<\/td>\n<\/tr>\n<tr>\n<td width=\"208\"><\/td>\n<td width=\"208\">Yol izleme<\/td>\n<td width=\"208\">54.56<\/td>\n<td width=\"208\">16.51<\/td>\n<td width=\"208\">23.85<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\">Toplam puan<\/td>\n<td width=\"208\">491.83<\/td>\n<td width=\"208\">143.71<\/td>\n<td width=\"208\">204.56<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4><span class=\"ez-toc-section\" id=\"Geek_Bench_6_GPU\"><\/span>Geek Bench 6 GPU<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p><a title=\"Yeni bir pencerede a\u00e7\u0131l\u0131r\" href=\"https:\/\/www.geekbench.com\/\" target=\"_blank\" rel=\"noopener\">Geekbench 6,<\/a>\u00a0genel sistem performans\u0131n\u0131 \u00f6l\u00e7en platformlar aras\u0131 bir k\u0131yaslamad\u0131r.\u00a0Hem CPU hem de GPU k\u0131yaslamas\u0131 i\u00e7in test se\u00e7enekleri vard\u0131r.\u00a0Daha y\u00fcksek puanlar daha iyidir.\u00a0Yine sadece GPU sonu\u00e7lar\u0131na bakt\u0131k.<\/p>\n<p><a title=\"Yeni bir pencerede a\u00e7\u0131l\u0131r\" href=\"https:\/\/browser.geekbench.com\/\" target=\"_blank\" rel=\"noopener\">Geekbench Taray\u0131c\u0131s\u0131nda<\/a>\u00a0istedi\u011finiz herhangi bir sistemle kar\u015f\u0131la\u015ft\u0131rmalar bulabilirsiniz\u00a0\u00a0.<\/p>\n<table>\n<tbody>\n<tr>\n<th>Geekbench 6.1.0\u00a0(Daha Y\u00fcksek Daha \u0130yidir)<\/th>\n<th>NVIDIA L4<\/th>\n<th>NVIDIA A2<\/th>\n<th>NVIDIA T4<\/th>\n<\/tr>\n<tr>\n<td>Geekbench GPU OpenCL<\/td>\n<td>156.224<\/td>\n<td>35.835<\/td>\n<td>83.046<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4><span class=\"ez-toc-section\" id=\"Luksmark\"><\/span>L\u00fcksmark<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>LuxMark, a\u00e7\u0131k kaynakl\u0131 3D i\u015fleme motoru LuxRender&#8217;\u0131 s\u00fcrd\u00fcrenlerin \u00fcretti\u011fi bir OpenCL platformlar aras\u0131 k\u0131yaslama arac\u0131d\u0131r.\u00a0Bu ara\u00e7 3D modelleme, ayd\u0131nlatma ve video \u00e7al\u0131\u015fmalar\u0131nda GPU performans\u0131na bakar.\u00a0Bu inceleme i\u00e7in en yeni s\u00fcr\u00fcm olan v4alpha0&#8217;\u0131 kulland\u0131k.\u00a0LuxMark&#8217;ta puan s\u00f6z konusu oldu\u011funda daha y\u00fcksek olan daha iyidir.<\/p>\n<table>\n<tbody>\n<tr>\n<th>Luxmark v4.0alpha0\u00a0OpenCL GPU&#8217;lar\u00a0(Daha Y\u00fcksek Daha \u0130yidir)<\/th>\n<th>NVIDIA L4<\/th>\n<th>NVIDIA A2<\/th>\n<th>NVIDIA T4<\/th>\n<\/tr>\n<tr>\n<td>Salon Bank\u0131<\/td>\n<td>14.328<\/td>\n<td>3.759<\/td>\n<td>5.893<\/td>\n<\/tr>\n<tr>\n<td>Yemek Tezgah\u0131<\/td>\n<td>5.330<\/td>\n<td>1.258<\/td>\n<td>2.033<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"GROMACS_CUDA\"><\/span>GROMACS CUDA<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Ayr\u0131ca, \u00f6zellikle CUDA i\u00e7in bir molek\u00fcler dinamik yaz\u0131l\u0131m\u0131 olan derlenmi\u015f GROMACS&#8217;\u0131 da tedarik ediyoruz.\u00a0Bu \u00f6zel derleme, hesaplamal\u0131 sim\u00fclasyonlar\u0131 h\u0131zland\u0131rmak i\u00e7in gerekli olan 5 NVIDIA L4 GPU&#8217;nun paralel i\u015fleme yeteneklerinden yararlanmakt\u0131.<\/p>\n<p>S\u00fcre\u00e7, NVIDIA&#8217;n\u0131n CUDA derleyicisi olan nvcc&#8217;nin kullan\u0131m\u0131n\u0131 ve ikili dosyalar\u0131n sunucunun mimarisine uygun \u015fekilde ayarlanmas\u0131n\u0131 sa\u011flamak i\u00e7in uygun optimizasyon i\u015faretlerinin bir\u00e7ok yinelemesini i\u00e7eriyordu.\u00a0CUDA deste\u011finin GROMACS derlemesine dahil edilmesi, yaz\u0131l\u0131m\u0131n GPU donan\u0131m\u0131yla do\u011frudan aray\u00fcz olu\u015fturmas\u0131na olanak tan\u0131r ve bu da karma\u015f\u0131k sim\u00fclasyonlar i\u00e7in hesaplama s\u00fcrelerini b\u00fcy\u00fck \u00f6l\u00e7\u00fcde art\u0131rabilir.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Test_Gromaclarda_Ozel_Protein_Etkilesimi\"><\/span>Test: Gromac&#8217;larda \u00d6zel Protein Etkile\u015fimi<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Belirli bir protein etkile\u015fimi \u00e7al\u0131\u015fmas\u0131 i\u00e7in \u00f6zel olarak tasarlanm\u0131\u015f parametreler ve yap\u0131lar i\u00e7eren, \u00e7e\u015fitli Discord&#8217;umuzdan topluluk taraf\u0131ndan sa\u011flanan bir girdi dosyas\u0131ndan yararlanarak bir molek\u00fcler dinamik sim\u00fclasyonu ba\u015flatt\u0131k.\u00a0Sonu\u00e7lar dikkat \u00e7ekiciydi; sistem g\u00fcnde 170.268 nanosaniyelik bir sim\u00fclasyon h\u0131z\u0131na ula\u015ft\u0131.<\/p>\n<table width=\"346\">\n<tbody>\n<tr>\n<th width=\"64\">GPU<\/th>\n<th width=\"166\">Sistem<\/th>\n<th width=\"54\">ns\/g\u00fcn<\/th>\n<th width=\"62\">\u00e7ekirdek zaman (lar)<\/th>\n<\/tr>\n<tr>\n<td>NVIDIA A4000<\/td>\n<td>Whitebox AMD Ryzen 5950x<\/td>\n<td>84.415<\/td>\n<td>163.763<\/td>\n<\/tr>\n<tr>\n<td>RTXNVIDIA 4070<\/td>\n<td>Whitebox AMD Ryzen 7950x3d<\/td>\n<td>131.85<\/td>\n<td>209.692,3<\/td>\n<\/tr>\n<tr>\n<td>5xNVIDIA L4<\/td>\n<td>Dell T560 ve 2x Intel Xeon Gold 6448Y<\/td>\n<td>170.268<\/td>\n<td>608.912,7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"Yapay_Zekadan_Daha_Fazlasi\"><\/span>Yapay Zekadan Daha Fazlas\u0131<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Yapay zekan\u0131n t\u00fcm moda oldu\u011fu heyecan\u0131yla, NVIDIA L4&#8217;teki modellerin performans\u0131na kap\u0131lmak kolayd\u0131r, ancak ayn\u0131 zamanda video uygulamalar\u0131 i\u00e7in bir olas\u0131l\u0131klar alan\u0131n\u0131n \u00f6n\u00fcn\u00fc a\u00e7an birka\u00e7 ba\u015fka p\u00fcf noktas\u0131 daha vard\u0131r.\u00a0720p30&#8217;da 1.040&#8217;a kadar e\u015fzamanl\u0131 AV1 video ak\u0131\u015f\u0131na ev sahipli\u011fi yapabilir.\u00a0Bu, i\u00e7eri\u011fin u\u00e7 kullan\u0131c\u0131lara canl\u0131 olarak yay\u0131nlanma bi\u00e7imini de\u011fi\u015ftirebilir, yarat\u0131c\u0131 hikaye anlat\u0131m\u0131n\u0131 geli\u015ftirebilir ve s\u00fcr\u00fckleyici AR\/VR deneyimleri i\u00e7in ilgin\u00e7 kullan\u0131mlar sunabilir.<\/p>\n<p>NVIDIA L4 ayn\u0131 zamanda grafik performans\u0131n\u0131 optimize etme konusunda da ba\u015far\u0131l\u0131d\u0131r; bu, ger\u00e7ek zamanl\u0131 i\u015fleme ve \u0131\u015f\u0131n izleme yeteneklerinde a\u00e7\u0131k\u00e7a g\u00f6r\u00fclmektedir.\u00a0U\u00e7 ofislerde L4, y\u00fcksek kaliteli, ger\u00e7ek zamanl\u0131 grafik olu\u015fturman\u0131n gerekli oldu\u011fu yerlerde en \u00e7ok ihtiya\u00e7 duyan son kullan\u0131c\u0131lara VDI&#8217;da sa\u011flam ve g\u00fc\u00e7l\u00fc h\u0131zland\u0131r\u0131lm\u0131\u015f grafik hesaplama sa\u011flama kapasitesine sahiptir.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Kapanis_Dusunceleri\"><\/span>Kapan\u0131\u015f D\u00fc\u015f\u00fcnceleri<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>NVIDIA L4 GPU, \u00e7e\u015fitli uygulamalarda benzersiz verimlilik ve \u00e7ok y\u00f6nl\u00fcl\u00fck sunarak u\u00e7 yapay zeka ve y\u00fcksek performansl\u0131 bilgi i\u015flem i\u00e7in sa\u011flam bir platform sa\u011flar.\u00a0Yo\u011fun yapay zeka, h\u0131zland\u0131rma veya video i\u015flem hatlar\u0131n\u0131 y\u00f6netme ve grafik performans\u0131n\u0131 optimize etme yetene\u011fi, onu u\u00e7 \u00e7\u0131kar\u0131m veya sanal masa\u00fcst\u00fc h\u0131zland\u0131rma i\u00e7in ideal bir se\u00e7im haline getirir.\u00a0L4&#8217;\u00fcn y\u00fcksek bilgi i\u015flem g\u00fcc\u00fc, geli\u015fmi\u015f bellek yetenekleri ve enerji verimlili\u011fi birle\u015fimi, onu \u00f6zellikle yapay zeka ve grafik a\u011f\u0131rl\u0131kl\u0131 end\u00fcstrilerde u\u00e7taki i\u015f y\u00fcklerinin h\u0131zland\u0131r\u0131lmas\u0131nda \u00f6nemli bir oyuncu olarak konumland\u0131r\u0131yor.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-1587\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-Lab-6-1024x656-1-300x192.jpg\" alt=\"\" width=\"300\" height=\"192\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-Lab-6-1024x656-1-300x192.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-Lab-6-1024x656-1-768x492.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/01\/StorageReview-NVIDIA-L4-Lab-6-1024x656-1.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>Hi\u00e7 \u015f\u00fcphe yok ki, bug\u00fcnlerde BT kas\u0131rgan\u0131n\u0131n g\u00f6z\u00fc yapay zekad\u0131r ve canavar H100\/H200 GPU&#8217;lara olan talep tavan yapmaya devam ediyor.\u00a0Ancak verilerin olu\u015fturuldu\u011fu ve analiz edildi\u011fi u\u00e7 noktaya daha sa\u011flam bir BT kiti seti sa\u011flanmas\u0131 y\u00f6n\u00fcnde de b\u00fcy\u00fck bir bask\u0131 var.\u00a0Bu durumlarda daha uygun bir GPU&#8217;ya ihtiya\u00e7 duyulur.\u00a0Burada NVIDIA L4 \u00f6ne \u00e7\u0131k\u0131yor ve T560&#8217;ta test etti\u011fimiz gibi tek bir birim olarak veya birlikte \u00f6l\u00e7eklendirilmi\u015f olarak u\u00e7 \u00e7\u0131kar\u0131m i\u00e7in varsay\u0131lan se\u00e7enek olmal\u0131d\u0131r.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA L4 GPU \u0130ncelemesi \u2013 D\u00fc\u015f\u00fck G\u00fc\u00e7l\u00fc \u00c7\u0131kar\u0131m Sihirbaz\u0131 NVIDIA L4 GPU G\u00fcn\u00fcm\u00fcz\u00fcn yapay zeka d\u00fcnyas\u0131n\u0131n durmak bilmeyen yenilik selinde,<\/p>\n","protected":false},"author":4,"featured_media":1491,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[255],"tags":[368,257,367,319,234],"class_list":["post-1490","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-gpu","tag-dell-poweredge-xr7620","tag-gpu","tag-l4-gpu","tag-mlperf","tag-nvidia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NVIDIA L4 GPU<\/title>\n<meta name=\"description\" content=\"NVIDIA L4 GPU G\u00fcn\u00fcm\u00fcz\u00fcn yapay 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