{"id":1517,"date":"2024-02-14T00:02:05","date_gmt":"2024-02-13T21:02:05","guid":{"rendered":"https:\/\/supermicrosunucu.com\/blog\/?p=1517"},"modified":"2024-02-14T00:07:12","modified_gmt":"2024-02-13T21:07:12","slug":"supermicro-x13-superblade-yapay-zeka-cihazi-ai","status":"publish","type":"post","link":"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html","title":{"rendered":"Supermicro X13 SuperBlade \u0130ncelemesi: Her \u015eeyi Yapabilen Yapay Zeka Cihaz\u0131"},"content":{"rendered":"<p>Supermicro, blade sunucu teknolojisinde \u00f6nc\u00fc olmu\u015ftur ve SuperBlade sistemleri bunun bir kan\u0131t\u0131d\u0131r.\u00a0Supermicro X13 SuperBlade kasa ve blade&#8217;lerin piyasaya s\u00fcr\u00fclmesi, GPU \u00f6zellikli blade&#8217;ler ve en yeni Emerald Rapids CPU&#8217;lar ile NVIDIA H100 GPU&#8217;lar\u0131n entegrasyonu teknolojisinde yeni bir sayfa a\u00e7\u0131yor.\u00a0Bu geli\u015fmeler ola\u011fan\u00fcst\u00fc i\u015flem g\u00fcc\u00fc ve verimlilik sa\u011flayarak X13&#8217;\u00fc \u00e7e\u015fitli \u00fcst d\u00fczey uygulamalar i\u00e7in ideal bir aday haline getiriyor.<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone wp-image-1518\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-X13-20-300x231.jpg\" alt=\"\" width=\"479\" height=\"369\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-X13-20-300x231.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-X13-20-1024x790.jpg 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-X13-20-768x592.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-X13-20-1536x1185.jpg 1536w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-X13-20.jpg 1920w\" sizes=\"(max-width: 479px) 100vw, 479px\" \/><\/p>\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-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Tasarim_ve_Ozellikler\" title=\"Tasar\u0131m ve \u00d6zellikler\">Tasar\u0131m ve \u00d6zellikler<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Supermicro_X13_GPU_SuperBladeler\" title=\"Supermicro X13 GPU SuperBlade&#8217;ler\">Supermicro X13 GPU SuperBlade&#8217;ler<\/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\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Supermicro_X13_SuperBlade_Kasa_Yonetimi_ve_Dagitimi\" title=\"Supermicro X13 SuperBlade Kasa Y\u00f6netimi ve Da\u011f\u0131t\u0131m\u0131\">Supermicro X13 SuperBlade Kasa Y\u00f6netimi ve Da\u011f\u0131t\u0131m\u0131<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Supermicro_SuperBlade_SBI-411E-5G_%E2%80%93_NVIDIA_H100_Performansi\" title=\"Supermicro SuperBlade SBI-411E-5G \u2013 NVIDIA H100 Performans\u0131\">Supermicro SuperBlade SBI-411E-5G \u2013 NVIDIA H100 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-5\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Dagitilmis_Egitim_Senaryolari\" title=\"Da\u011f\u0131t\u0131lm\u0131\u015f E\u011fitim Senaryolar\u0131\">Da\u011f\u0131t\u0131lm\u0131\u015f E\u011fitim Senaryolar\u0131<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Laboratuvarda_Dagitilmis_Egitim\" title=\"Laboratuvarda Da\u011f\u0131t\u0131lm\u0131\u015f E\u011fitim\">Laboratuvarda Da\u011f\u0131t\u0131lm\u0131\u015f E\u011fitim<\/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-7\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#TensorRT_ve_LLMler\" title=\"TensorRT ve LLM&#8217;ler\">TensorRT ve LLM&#8217;ler<\/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-8\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#MLPerf_ile_Tek_Blade_Cikarim_Performansi_Karsilastirmasi\" title=\"MLPerf ile Tek Blade \u00c7\u0131kar\u0131m Performans\u0131 Kar\u015f\u0131la\u015ft\u0131rmas\u0131\">MLPerf ile Tek Blade \u00c7\u0131kar\u0131m Performans\u0131 Kar\u015f\u0131la\u015ft\u0131rmas\u0131<\/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\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Uyarlanabilir_Is_Yuku_Yonetimi\" title=\"Uyarlanabilir \u0130\u015f Y\u00fck\u00fc Y\u00f6netimi\">Uyarlanabilir \u0130\u015f Y\u00fck\u00fc Y\u00f6netimi<\/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\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Bu_Senaryolarda_200G_NVIDIA_Quantum_InfiniBandin_Avantajlari\" title=\"Bu Senaryolarda 200G\u00a0NVIDIA Quantum\u00a0InfiniBand&#8217;\u0131n Avantajlar\u0131\">Bu Senaryolarda 200G\u00a0NVIDIA Quantum\u00a0InfiniBand&#8217;\u0131n Avantajlar\u0131<\/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-11\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Quantum_InfiniBandda_Neler_Var\" title=\"Quantum InfiniBand&#8217;da Neler Var?\">Quantum InfiniBand&#8217;da Neler Var?<\/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-12\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#ClusterKit_ile_SuperBlade_InfiniBand_ve_H100_GPU_Karsilastirma_Sonuclari\" title=\"ClusterKit ile SuperBlade InfiniBand ve H100 GPU Kar\u015f\u0131la\u015ft\u0131rma Sonu\u00e7lar\u0131\">ClusterKit ile SuperBlade InfiniBand ve H100 GPU Kar\u015f\u0131la\u015ft\u0131rma Sonu\u00e7lar\u0131<\/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\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#GPU_Dogrudan_Testleri\" title=\"GPU Do\u011frudan Testleri\">GPU Do\u011frudan Testleri<\/a><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Bant_Genisligi_Matrisi_MBsn\" title=\"Bant Geni\u015fli\u011fi Matrisi MB\/sn\">Bant Geni\u015fli\u011fi Matrisi MB\/sn<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Gecikme_kullanim_suresi\" title=\"Gecikme kullan\u0131m s\u00fcresi\">Gecikme kullan\u0131m s\u00fcresi<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#GPU_Komsu_Testleri\" title=\"GPU Kom\u015fu Testleri\">GPU Kom\u015fu Testleri<\/a><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#GPU_Komsu_Bant_Genisligi_MBs\" title=\"GPU Kom\u015fu Bant Geni\u015fli\u011fi (MB\/s)\">GPU Kom\u015fu Bant Geni\u015fli\u011fi (MB\/s)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#GPU_Bellek_Bant_Genisligi_MBs\" title=\"GPU Bellek Bant Geni\u015fli\u011fi (MB\/s)\">GPU Bellek Bant Geni\u015fli\u011fi (MB\/s)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#GPUdan_GPUya_Bant_Genisligi_MBs\" title=\"GPU&#8217;dan GPU&#8217;ya Bant Geni\u015fli\u011fi (MB\/s)\">GPU&#8217;dan GPU&#8217;ya Bant Geni\u015fli\u011fi (MB\/s)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#GPU0_%E2%80%93_Uzak_Ana_Bilgisayar_Bant_Genisligi_MBs\" title=\"GPU0 &#8211; Uzak Ana Bilgisayar Bant Geni\u015fli\u011fi (MB\/s)\">GPU0 &#8211; Uzak Ana Bilgisayar Bant Geni\u015fli\u011fi (MB\/s)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#GPU_Komsu_Gecikmesi_%CE%BCsaniye\" title=\"GPU Kom\u015fu Gecikmesi (\u03bcsaniye)\">GPU Kom\u015fu Gecikmesi (\u03bcsaniye)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#GPUdan_Uzak_Ana_Bilgisayara_Gecikme_%CE%BCsaniye\" title=\"GPU&#8217;dan Uzak Ana Bilgisayara Gecikme (\u03bcsaniye)\">GPU&#8217;dan Uzak Ana Bilgisayara Gecikme (\u03bcsaniye)<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Bagimsiz_GPU_Sunucu_Testi\" title=\"Ba\u011f\u0131ms\u0131z GPU Sunucu Testi\">Ba\u011f\u0131ms\u0131z GPU Sunucu Testi<\/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-24\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#_Yazma_Bant_Genisligi_GBs_%E2%80%93_Tek_Yonlu\" title=\"\u00a0Yazma Bant Geni\u015fli\u011fi (GB\/s) \u2013 Tek Y\u00f6nl\u00fc\">\u00a0Yazma Bant Geni\u015fli\u011fi (GB\/s) \u2013 Tek Y\u00f6nl\u00fc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-25\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Okuma_Bant_Genisligi_GBs_%E2%80%93_Tek_Yonlu\" title=\"Okuma Bant Geni\u015fli\u011fi (GB\/s) \u2013 Tek Y\u00f6nl\u00fc\">Okuma Bant Geni\u015fli\u011fi (GB\/s) \u2013 Tek Y\u00f6nl\u00fc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-26\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Kopyalama_Motoru_CE_%E2%80%93_Yazma_Gecikmesi_bize\" title=\"Kopyalama Motoru (CE) \u2013 Yazma Gecikmesi (bize)\">Kopyalama Motoru (CE) \u2013 Yazma Gecikmesi (bize)<\/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-27\" href=\"https:\/\/supermicrosunucu.com\/blog\/supermicro-x13-superblade-yapay-zeka-cihazi-ai.html\/#Cozum\" title=\"\u00c7\u00f6z\u00fcm\">\u00c7\u00f6z\u00fcm<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Tasarim_ve_Ozellikler\"><\/span>Tasar\u0131m ve \u00d6zellikler<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Supermicro X13 SuperBlade kasas\u0131, y\u00fcksek yo\u011funlu\u011fu ve esnekli\u011fiyle bilinen tan\u0131d\u0131k 8U kasa tasar\u0131m\u0131n\u0131 koruyor.\u00a0Her kasa 20&#8217;ye kadar blade&#8217;i destekler; en yeni teklif, Emerald Rapids CPU&#8217;lar\u0131n ve NVIDIA H100 GPU&#8217;lar\u0131n entegre edilmesiyle \u00f6nemli \u00f6l\u00e7\u00fcde geli\u015ftirilmi\u015ftir.\u00a0Bu g\u00fc\u00e7l\u00fc kombinasyon, benzeri g\u00f6r\u00fclmemi\u015f hesaplama yetenekleri sunmay\u0131 vaat ediyor.\u00a0Ayr\u0131ca kasada 200G InfiniBand ve 25G Ethernet ileti\u015fimi bulunuyor ve bu da y\u00fcksek h\u0131zl\u0131 veri aktar\u0131m\u0131 ve a\u011f verimlili\u011fi sa\u011fl\u0131yor.<\/p>\n<p><strong>Pop\u00fcler Kullan\u0131m Durumlar\u0131:<\/strong><\/p>\n<ol>\n<li><strong>Veri Analizi<\/strong>\u00a0: Emerald Rapids CPU&#8217;lar\u0131n geli\u015fmi\u015f i\u015flem g\u00fcc\u00fc ve NVIDIA H100 GPU&#8217;lar\u0131n h\u0131zland\u0131r\u0131lm\u0131\u015f bilgi i\u015flem yetenekleri ile X13 SuperBlades, zorlu veri analizi g\u00f6revleri i\u00e7in son derece uygundur.\u00a0Bu g\u00f6revler, g\u00fcn\u00fcm\u00fcz\u00fcn veri odakl\u0131 d\u00fcnyas\u0131nda giderek daha kritik hale gelen ger\u00e7ek zamanl\u0131 veri i\u015fleme ve kapsaml\u0131 veri madencili\u011fi operasyonlar\u0131n\u0131 i\u00e7erir.<\/li>\n<li><strong>Yapay Zeka ve Makine \u00d6\u011frenimi<\/strong>\u00a0: X13 SuperBlade&#8217;ler, yapay zeka ve makine \u00f6\u011frenimi modelleri, \u00f6zellikle de \u00f6nemli hesaplama kaynaklar\u0131 gerektiren derin \u00f6\u011frenme algoritmalar\u0131 i\u00e7in gerekli g\u00fcc\u00fc sunar.<\/li>\n<li><strong>Y\u00fcksek Performansl\u0131 Bilgi \u0130\u015flem<\/strong>\u00a0: M\u00fchendislikteki bilimsel sim\u00fclasyonlar, t\u0131bbi ara\u015ft\u0131rmalar ve ileri hesaplamal\u0131 g\u00f6revler, X13&#8217;\u00fcn geli\u015fmi\u015f performans\u0131ndan \u00f6nemli \u00f6l\u00e7\u00fcde faydalanacak ve bu da onu y\u00fcksek performansl\u0131 bilgi i\u015flem uygulamalar\u0131 i\u00e7in birincil se\u00e7im haline getirecek.<\/li>\n<li><strong>Bulut Bili\u015fim<\/strong>\u00a0: Blade&#8217;lerin artan yo\u011funlu\u011fu ve performans\u0131, onlar\u0131 bulut hizmeti sa\u011flay\u0131c\u0131lar\u0131 i\u00e7in ideal k\u0131lmaktad\u0131r.\u00a0Yo\u011fun sanalla\u015ft\u0131rma ve konteynerle\u015ftirme gerektirenler de dahil olmak \u00fczere bir\u00e7ok bulut tabanl\u0131 uygulama ve hizmeti y\u00f6netebilirler.<\/li>\n<li><strong>A\u011f \u0130leti\u015fimi ve \u0130leti\u015fim<\/strong>\u00a0: 200G InfiniBand ve 25G Ethernet ileti\u015fimiyle donat\u0131lan X13, y\u00fcksek bant geni\u015fli\u011fi ve d\u00fc\u015f\u00fck gecikmeli uygulamalarda \u00f6ne \u00e7\u0131k\u0131yor ve bu da onu zorlu a\u011f olu\u015fturma ve ileti\u015fim g\u00f6revleri i\u00e7in uygun hale getiriyor.\u00a0SuperBlade, harici a\u011f ba\u011flant\u0131s\u0131 sayesinde bir merkez g\u00f6revi g\u00f6rerek ayn\u0131 raf veya veri merkezindeki geleneksel blade olmayan sunucularla InfiniBand ve Ethernet ileti\u015fimleri sa\u011flayabilir.<\/li>\n<\/ol>\n<p>Supermicro&#8217;nun sa\u011flad\u0131\u011f\u0131 test donan\u0131m\u0131m\u0131zda toplam be\u015f kanat vard\u0131.\u00a0D\u00f6rd\u00fc tek bir i\u015flemci ve PCIe h\u0131zland\u0131r\u0131c\u0131y\u0131 alabilecek kapasiteyle donat\u0131lm\u0131\u015ft\u0131; bizim durumumuzda d\u00f6rt NVIDIA H100 ve bir \u00e7ift i\u015flemci kart\u0131.\u00a0Hesaplama blade&#8217;inin daha sonraki bir incelemesiyle devam edece\u011fiz; bu incelemenin uzunlu\u011fu, eklenmesinin biraz fazla olmas\u0131na neden oldu.<\/p>\n<p><a title=\"Yeni bir pencerede a\u00e7\u0131l\u0131r\" href=\"https:\/\/www.supermicro.com\/datasheet\/datasheet_X13_SuperBlade.pdf\" target=\"_blank\" rel=\"noopener\">Supermicro X13 SuperBlade Veri Sayfas\u0131<\/a><\/p>\n<table>\n<tbody>\n<tr>\n<th>Bile\u015fen<\/th>\n<th>Tan\u0131m<\/th>\n<\/tr>\n<tr>\n<td><strong>Muhafaza<\/strong><\/td>\n<td>1x SBE-820H2-630<\/td>\n<\/tr>\n<tr>\n<td><strong>PSW<\/strong><\/td>\n<td>6x PWS-3K01A-BR<\/td>\n<\/tr>\n<tr>\n<td><strong>Fan<\/strong><\/td>\n<td>2x PWS-DF006-2F<\/td>\n<\/tr>\n<tr>\n<td><strong>BBP<\/strong><\/td>\n<td>1x AOC-MB-BBP01-P<\/td>\n<\/tr>\n<tr>\n<td><strong>CMM<\/strong><\/td>\n<td>MBM-CMM-6<\/td>\n<\/tr>\n<tr>\n<td><strong>IB Anahtar\u0131<\/strong><\/td>\n<td>1x SBM-IBS-H4020<\/td>\n<\/tr>\n<tr>\n<td><strong>VE Anahtar\u0131<\/strong><\/td>\n<td>2x SBM-25G-200<\/td>\n<\/tr>\n<tr>\n<td><strong>B\u0131\u00e7ak Yap\u0131land\u0131rmas\u0131<\/strong><\/td>\n<td>\n<ul>\n<li>SBI-411E-5G:\n<ul>\n<li>1x CPU 8562Y+<\/li>\n<li>8x MEM-DR532L-CL01-ER48<\/li>\n<li>2x HDS-SMN0-MZ1L23T8HBLAA7 (Samsung 3840G M.2 s\u00fcr\u00fcc\u00fcs\u00fc)<\/li>\n<li>1x GPU-NVH100-80<\/li>\n<li>1x SNK-P0088P<\/li>\n<li>1x AOC-IBH-X6HS-P<\/li>\n<\/ul>\n<\/li>\n<li>SBI-411E-5G: [Yukar\u0131dakiyle ayn\u0131]<\/li>\n<li>SBI-411E-5G: [Yukar\u0131dakiyle ayn\u0131, Micron 480G M.2 s\u00fcr\u00fcc\u00fcs\u00fcyle]<\/li>\n<li>SBI-411E-5G: [Yukar\u0131dakiyle ayn\u0131, Micron 480G M.2 s\u00fcr\u00fcc\u00fcs\u00fcyle]<\/li>\n<li>SBI-421E-5T3N:\n<ul>\n<li>2x8562Y+<\/li>\n<li>512 Gb DDR5<\/li>\n<li>1x HDS-MMN-MTFDKBA480TFR1BC (Micron 480G M.2 s\u00fcr\u00fcc\u00fc)<\/li>\n<li>1x HDS-MUN-MTFDKCC3T8TDZ1AZ (Micron 3840G U.2 s\u00fcr\u00fcc\u00fcs\u00fc)<\/li>\n<li>2x SNK-P0088P<\/li>\n<li>1x AOC-IBH-X6HS-P<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"Supermicro_X13_GPU_SuperBladeler\"><\/span>Supermicro X13 GPU SuperBlade&#8217;ler<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>GPU blade&#8217;leri, \u00f6n tarafta bir giri\u015f ile ve GPU yerine baz\u0131 2,5 in\u00e7 NVMe yuvalar\u0131na sahip olan \u00e7ift i\u015flemci blade&#8217;imiz ile ilk bak\u0131\u015fta g\u00fc\u00e7lerini gizler.<\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-1521\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-07-300x137.jpg\" alt=\"\" width=\"506\" height=\"231\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-07-300x137.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-07-1024x468.jpg 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-07-768x351.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-07.jpg 1500w\" sizes=\"(max-width: 506px) 100vw, 506px\" \/><\/p>\n<p>Arka tarafta, b\u0131\u00e7a\u011f\u0131 kasaya ba\u011flayan ve t\u00fcm g\u00fcc\u00fc ve verileri ta\u015f\u0131yan g\u00f6z kama\u015ft\u0131r\u0131c\u0131 say\u0131da pin bulunur.<\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-1522\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-06-300x169.jpg\" alt=\"\" width=\"508\" height=\"286\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-06-300x169.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-06-1024x578.jpg 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-06-768x434.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-06.jpg 1500w\" sizes=\"(max-width: 508px) 100vw, 508px\" \/><\/p>\n<p>\u0130\u00e7eriye bakt\u0131\u011f\u0131m\u0131zda GPU blade&#8217;inde m.2 \u00f6ny\u00fckleme SSD&#8217;lerini g\u00f6rebiliyoruz.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1523\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-14-300x215.jpg\" alt=\"\" width=\"505\" height=\"362\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-14-300x215.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-14-1024x735.jpg 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-14-768x551.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-14.jpg 1500w\" sizes=\"(max-width: 505px) 100vw, 505px\" \/><\/p>\n<p>Yukar\u0131dan hava y\u00f6nlendirici k\u0131lavuzlar\u0131 g\u00f6rebiliriz.\u00a0GPU blade&#8217;i ile \u00c7ift CPU blade&#8217;i aras\u0131ndaki farka dikkat edin.\u00a0GPU blade anakart\u0131 \u00c7ift CPU ile ayn\u0131d\u0131r ancak yaln\u0131zca arka G\/\u00c7 yar\u0131s\u0131d\u0131r.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1525\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-04-300x200.jpg\" alt=\"\" width=\"500\" height=\"333\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-04-300x200.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-04-1024x683.jpg 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-04-768x512.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-04.jpg 1500w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/><\/p>\n<p>Kasan\u0131n arkas\u0131ndan ba\u015flayarak PSU&#8217;lar\u0131 ve a\u011f ba\u011flant\u0131s\u0131n\u0131 g\u00f6rebiliriz.\u00a0En \u00fcstteki tam geni\u015flikli anahtar 200 Gbit NVIDIA Quantum InfiniBand i\u00e7indir.\u00a0Alttaki iki anahtardan b\u00fcy\u00fc\u011f\u00fc 25G ethernet, ortadaki k\u00fc\u00e7\u00fck mod\u00fcl ise \u015easi Y\u00f6netim Mod\u00fcl\u00fc i\u00e7indir.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1526\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-01-300x231.jpg\" alt=\"\" width=\"638\" height=\"491\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-01-300x231.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-01-1024x790.jpg 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-01-768x592.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-01.jpg 1500w\" sizes=\"(max-width: 638px) 100vw, 638px\" \/><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Supermicro_X13_SuperBlade_Kasa_Yonetimi_ve_Dagitimi\"><\/span>Supermicro X13 SuperBlade Kasa Y\u00f6netimi ve Da\u011f\u0131t\u0131m\u0131<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Bir \u015easi Y\u00f6netim Mod\u00fcl\u00fcn\u00fcn (CMM) Supermicro&#8217;nun SuperBlade X13 kasas\u0131na entegre edilmesi, bireysel blade&#8217;lerin \u00f6tesine ge\u00e7erek t\u00fcm raf\u0131 kapsayan bir dizi avantaj sunarak veri merkezi operasyonlar\u0131n\u0131n genel verimlili\u011fini ve y\u00f6netilebilirli\u011fini art\u0131r\u0131r.\u00a0CMM, SuperBlade X13 sisteminin y\u00f6netimini kolayla\u015ft\u0131ran merkezi bir kontrol noktas\u0131 g\u00f6revi g\u00f6r\u00fcr.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1527\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-7-300x178.png\" alt=\"\" width=\"629\" height=\"373\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-7-300x178.png 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-7-1024x608.png 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-7-768x456.png 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-7-1536x911.png 1536w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-7.png 1660w\" sizes=\"(max-width: 629px) 100vw, 629px\" \/><\/p>\n<p>T\u00fcm kasa i\u015flevleri i\u00e7in tek bir cam panel, blade kasa gibi entegre platformlar i\u00e7in kritik \u00f6neme sahiptir.\u00a0Her ne kadar bireysel blade&#8217;leri kapat\u0131p a\u00e7ma yetene\u011fi baz\u0131lar\u0131 i\u00e7in \u00f6nemli olsa da, di\u011fer bir\u00e7ok i\u015flev g\u00fcnl\u00fck y\u00f6netim rutinlerinde de\u011ferli bir rol oynar.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1528\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-6-300x178.png\" alt=\"\" width=\"625\" height=\"371\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-6-300x178.png 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-6-1024x608.png 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-6-768x456.png 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-6-1536x911.png 1536w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-6.png 1660w\" sizes=\"(max-width: 625px) 100vw, 625px\" \/><\/p>\n<p>Supermicro&#8217;nun CMM&#8217;si kasay\u0131 izlemek, tak\u0131l\u0131 blade&#8217;leri g\u00f6r\u00fcnt\u00fclemek ve kasan\u0131n arkas\u0131na tak\u0131l\u0131 entegre anahtarlar\u0131 y\u00f6netmek i\u00e7in merkezi bir ini\u015f noktas\u0131 sunar.\u00a0Bu bant d\u0131\u015f\u0131 y\u00f6netim ayn\u0131 zamanda cihaz\u0131n IP adreslerini de al\u0131r, b\u00f6ylece bu merkezi noktadan ba\u011fl\u0131 her cihaza kolayca ge\u00e7i\u015f yapabilirsiniz.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1529\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-5-300x178.png\" alt=\"\" width=\"625\" height=\"371\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-5-300x178.png 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-5-1024x608.png 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-5-768x456.png 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-5-1536x911.png 1536w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-5.png 1660w\" sizes=\"(max-width: 625px) 100vw, 625px\" \/><\/p>\n<p>CMM, sunucu blade&#8217;lerini y\u00f6netmenin yan\u0131 s\u0131ra ayn\u0131 tek aray\u00fcz \u00fczerinden a\u011f y\u00f6netimini de y\u00f6netir.\u00a0Bu, kullan\u0131c\u0131lar\u0131n her iki ba\u011fl\u0131 anahtar\u0131n anahtar y\u00f6netimi ekranlar\u0131na ilgili IP adresleri g\u00f6r\u00fcnt\u00fclenerek kolayca eri\u015fmesine ve g\u00f6r\u00fcnt\u00fclemesine olanak tan\u0131r.\u00a0CMM ayr\u0131ca daha b\u00fcy\u00fck da\u011f\u0131t\u0131mlar i\u00e7in kom\u015fu sistemlerle de ileti\u015fim kurarak kapsaml\u0131 bir y\u00f6netim paketi sa\u011flayabilir.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1531\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-1-300x178.png\" alt=\"\" width=\"624\" height=\"370\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-1-300x178.png 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-1-1024x608.png 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-1-768x456.png 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-1-1536x911.png 1536w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicro-SuperBlade-CMM-1.png 1660w\" sizes=\"(max-width: 624px) 100vw, 624px\" \/><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Supermicro_SuperBlade_SBI-411E-5G_%E2%80%93_NVIDIA_H100_Performansi\"><\/span>Supermicro SuperBlade SBI-411E-5G \u2013 NVIDIA H100 Performans\u0131<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Y\u00fcksek performansl\u0131 bilgi i\u015flemde, NVIDIA H100&#8217;e sahip SuperBlade SBI-411E-5G, da\u011f\u0131t\u0131lm\u0131\u015f e\u011fitim ve tek b\u0131\u00e7akl\u0131 \u00e7\u0131kar\u0131m i\u00e7in \u00e7ok y\u00f6nl\u00fc ve g\u00fc\u00e7l\u00fc bir ara\u00e7t\u0131r.\u00a0Bu esneklik, \u00f6zellikle de\u011fi\u015fen i\u015f y\u00fcklerini y\u00f6neten veri merkezlerinde oldu\u011fu gibi, hesaplama taleplerinin \u00f6nemli \u00f6l\u00e7\u00fcde dalgaland\u0131\u011f\u0131 durumlarda belirgindir.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1532\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-09-300x167.jpg\" alt=\"\" width=\"640\" height=\"356\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-09-300x167.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-09-1024x571.jpg 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-09-800x445.jpg 800w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-09.jpg 1500w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/p>\n<h4><span class=\"ez-toc-section\" id=\"Dagitilmis_Egitim_Senaryolari\"><\/span>Da\u011f\u0131t\u0131lm\u0131\u015f E\u011fitim Senaryolar\u0131<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>SuperBlade H100 d\u00fc\u011f\u00fcmleri, karma\u015f\u0131k yapay zeka modelleri i\u00e7in hayati \u00f6neme sahip bir s\u00fcre\u00e7 olan da\u011f\u0131t\u0131lm\u0131\u015f e\u011fitimde \u00f6ne \u00e7\u0131k\u0131yor.\u00a0B\u00fcy\u00fck \u00f6l\u00e7ekli bir sinir a\u011f\u0131 modelinin geni\u015f bir veri k\u00fcmesi \u00fczerinde e\u011fitildi\u011fi bir senaryo hayal edin.\u00a0Modelin e\u011fitimi, her biri H100&#8217;\u00fcn geli\u015fmi\u015f GPU&#8217;lar\u0131n\u0131n g\u00fcc\u00fcnden yararlanan birden fazla blade&#8217;e da\u011f\u0131t\u0131lm\u0131\u015ft\u0131r.\u00a0Bu da\u011f\u0131t\u0131m, e\u011fitim s\u00fcrecini h\u0131zland\u0131r\u0131r ve daha b\u00fcy\u00fck modellerin ve pratik olmayan veri k\u00fcmelerinin tek makinelerde i\u015flenmesine olanak tan\u0131r.<\/p>\n<p>200G InfiniBand burada kritik bir rol oynuyor.\u00a0Y\u00fcksek bant geni\u015fli\u011fine sahip, d\u00fc\u015f\u00fck gecikmeli ileti\u015fimi, blade&#8217;ler aras\u0131nda h\u0131zl\u0131 ve verimli veri al\u0131\u015fveri\u015finin hayati \u00f6nem ta\u015f\u0131d\u0131\u011f\u0131 da\u011f\u0131t\u0131lm\u0131\u015f e\u011fitim i\u00e7in \u00e7ok \u00f6nemlidir.\u00a0Bu ba\u011flant\u0131, veri ve \u00f6\u011frenme parametrelerinin t\u00fcm blade&#8217;ler aras\u0131nda tutarl\u0131 ve h\u0131zl\u0131 bir \u015fekilde senkronize edilmesini sa\u011flayarak y\u00fcksek hacimli veri i\u015flemede s\u0131kl\u0131kla kar\u015f\u0131la\u015f\u0131lan darbo\u011fazlar\u0131 en aza indirir.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Laboratuvarda_Dagitilmis_Egitim\"><\/span>Laboratuvarda Da\u011f\u0131t\u0131lm\u0131\u015f E\u011fitim<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Da\u011f\u0131t\u0131lm\u0131\u015f e\u011fitim, b\u00fcy\u00fck \u00f6l\u00e7ekli makine \u00f6\u011frenimi ve derin \u00f6\u011frenme g\u00f6revlerine yakla\u015f\u0131m\u0131m\u0131zda devrim yaratt\u0131.\u00a0Veri krald\u0131r ve b\u00fcy\u00fck miktardaki e\u011fitim verisini verimli bir \u015fekilde i\u015fleme yetene\u011fi bir s\u00fcredir darbo\u011faz olmu\u015ftur.\u00a0Buras\u0131 a\u00e7\u0131k kaynakl\u0131 kitapl\u0131klar\u0131n ve d\u00f6rt PCIe GPU&#8217;lu Supermicro SuperBlade X13 gibi g\u00fc\u00e7l\u00fc donan\u0131mlar\u0131n, \u00f6zellikle y\u00fcksek h\u0131zl\u0131 200G InfiniBand a\u011f\u0131 \u00fczerinden ba\u011flan\u0131ld\u0131\u011f\u0131nda oyunun kurallar\u0131n\u0131 de\u011fi\u015ftirdi\u011fi yerdir.<\/p>\n<p>TensorFlow ve PyTorch gibi a\u00e7\u0131k kaynakl\u0131 kitapl\u0131klar, her \u00fcreticinin deste\u011fi ve do\u011frulamas\u0131yla makine \u00f6\u011frenimi toplulu\u011funun temel \u00f6\u011feleri haline geldi.\u00a0Makine \u00f6\u011frenimi modellerini geli\u015ftirmek ve \u00f6l\u00e7eklendirmek i\u00e7in sa\u011flam, esnek ve s\u00fcrekli geli\u015fen \u00e7er\u00e7eveler sunarlar.\u00a0Do\u011fal dil i\u015fleme veya bilgisayarl\u0131 g\u00f6rmede kullan\u0131lanlar gibi karma\u015f\u0131k modelleri e\u011fitirken hesaplama gereksinimi \u015fa\u015f\u0131rt\u0131c\u0131 olabilir.\u00a0SuperBlade X13&#8217;\u00fcn devreye girdi\u011fi yer buras\u0131d\u0131r.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1533\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-18-300x185.jpg\" alt=\"\" width=\"653\" height=\"403\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-18-300x185.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-18-1024x631.jpg 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-18-768x474.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-18.jpg 1500w\" sizes=\"(max-width: 653px) 100vw, 653px\" \/><\/p>\n<p>SuperBlade X13 platformu, y\u00fcksek yo\u011funluklu bilgi i\u015flem yetenekleriyle tan\u0131nmaktad\u0131r ve bu da onu HPC ortamlar\u0131 i\u00e7in m\u00fckemmel bir se\u00e7im haline getirmektedir.\u00a0H100 PCIe GPU&#8217;larla donat\u0131lm\u0131\u015f iki kat geni\u015flikte, yar\u0131m y\u00fckseklikte SBI-411E-5G blade&#8217;leri kullanan SuperBlade X13, \u00e7ok b\u00fcy\u00fck paralel i\u015flem g\u00f6revlerini ger\u00e7ekle\u015ftirmek i\u00e7in hava so\u011futmal\u0131 10&#8217;a kadar GPU&#8217;yu ve kasa ba\u015f\u0131na s\u0131v\u0131 so\u011futmal\u0131 20&#8217;ye kadar GPU&#8217;yu destekler .\u00a0Daha da \u00f6nemlisi, blade&#8217;ler ger\u00e7ekten herhangi bir zamanda yeniden yap\u0131land\u0131r\u0131labilir, bu da onlar\u0131 bir i\u015fletmenin yapay zeka i\u015f y\u00fckleri de\u011fi\u015ftik\u00e7e son derece esnek hale getirir.<\/p>\n<p>InfiniBand&#8217;in son derece d\u00fc\u015f\u00fck gecikme s\u00fcresi ve y\u00fcksek verimle kasaya getirilmesi, veri ve model parametrelerinin d\u00fc\u011f\u00fcmler aras\u0131nda s\u00fcrekli ge\u00e7i\u015f yapmas\u0131na yard\u0131mc\u0131 olur.\u00a0Bu y\u00fcksek h\u0131zl\u0131 a\u011f, \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli veri k\u00fcmeleri ve karma\u015f\u0131k model mimarileriyle u\u011fra\u015f\u0131rken, da\u011f\u0131t\u0131lm\u0131\u015f sistemlerde genellikle bir darbo\u011faz olan veri aktar\u0131m s\u00fcresini \u00f6nemli \u00f6l\u00e7\u00fcde azalt\u0131r.<\/p>\n<p>Bu kurulumda da\u011f\u0131t\u0131lm\u0131\u015f e\u011fitim i\u00e7in a\u00e7\u0131k kaynak kitapl\u0131klar\u0131n entegre edilmesi birka\u00e7 \u00f6nemli ad\u0131m\u0131 i\u00e7eriyordu.\u00a0\u0130lk olarak, GPU yeteneklerini tam olarak kullanabilmek i\u00e7in optimize edilmi\u015f kapsay\u0131c\u0131lar\u0131 ve kitapl\u0131klar\u0131 se\u00e7memiz gerekiyordu.\u00a0Bu, bu kitapl\u0131klar\u0131n CUDA \u00f6zellikli s\u00fcr\u00fcmlerini kullanarak GPU&#8217;nun i\u015flem g\u00fcc\u00fcnden do\u011frudan yararlanabilmelerini sa\u011flamaktan olu\u015fur.\u00a0\u0130kincisi, InfiniBand&#8217;\u0131n NCCL (NVIDIA Toplu \u0130leti\u015fim K\u00fct\u00fcphanesi) ile birlikte kullan\u0131lmas\u0131 ve toplu \u00e7oklu GPU\/\u00e7ok d\u00fc\u011f\u00fcml\u00fc ileti\u015fim i\u00e7in optimize edilmi\u015f ileti\u015fim rutinleri sa\u011flanmas\u0131 gerekir.<\/p>\n<p>Uygulamada, bu platformda da\u011f\u0131t\u0131lm\u0131\u015f bir e\u011fitim g\u00f6revi ayarlarken, her d\u00fc\u011f\u00fcm (bu durumda her SuperBlade) modelin bir b\u00f6l\u00fcm\u00fcn\u00fc \u00e7al\u0131\u015ft\u0131r\u0131r.\u00a0Model parametreleri, InfiniBand a\u011f\u0131n\u0131n h\u0131z\u0131 ve d\u00fc\u015f\u00fck gecikme s\u00fcresi sayesinde d\u00fc\u011f\u00fcmler aras\u0131nda ger\u00e7ek zamanl\u0131 olarak senkronize edilir.\u00a0Bu senkronizasyon, modelin yak\u0131nsamas\u0131 ve do\u011frulu\u011fu a\u00e7\u0131s\u0131ndan \u00e7ok \u00f6nemlidir.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"TensorRT_ve_LLMler\"><\/span>TensorRT ve LLM&#8217;ler<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>NVIDIA&#8217;n\u0131n TensorRT B\u00fcy\u00fck Dil Modeli (LLM), yapay zeka ve makine \u00f6\u011freniminde \u00f6nemli bir ilerlemeyi temsil ediyor.\u00a0Verimlilik ve h\u0131z i\u00e7in tasarlanan TensorRT LLM, karma\u015f\u0131k yapay zeka g\u00f6revlerini i\u015flemedeki ola\u011fan\u00fcst\u00fc performans\u0131yla bilinen Blade sunucu sistemleri ekosisteminin \u00f6nemli bir bile\u015fenidir.\u00a0Tasar\u0131m\u0131, teknik profesyonellerin ve BT karar vericilerinin ihtiya\u00e7lar\u0131n\u0131 kar\u015f\u0131layarak modern veri merkezlerinin zorlu bilgi i\u015flem gereksinimlerini kar\u015f\u0131lamak i\u00e7in sa\u011flam bir \u00e7\u00f6z\u00fcm sunar.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1534\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/sotragereview-supermicro-superblade-h100-nvidia-smi-300x138.png\" alt=\"\" width=\"642\" height=\"295\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/sotragereview-supermicro-superblade-h100-nvidia-smi-300x138.png 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/sotragereview-supermicro-superblade-h100-nvidia-smi-1024x472.png 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/sotragereview-supermicro-superblade-h100-nvidia-smi-768x354.png 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/sotragereview-supermicro-superblade-h100-nvidia-smi.png 1028w\" sizes=\"(max-width: 642px) 100vw, 642px\" \/><\/p>\n<p>NVIDIA&#8217;n\u0131n TensorRT LLM&#8217;sinin teknik \u00e7er\u00e7evesi, yapay zeka ve derin \u00f6\u011frenmenin t\u00fcm potansiyelinden yararlanmak \u00fczere tasarlanm\u0131\u015ft\u0131r.\u00a0Sinir a\u011f\u0131 \u00e7\u0131kar\u0131m\u0131n\u0131 optimize etmek i\u00e7in tasarland\u0131\u011f\u0131 i\u00e7in y\u00fcksek performansl\u0131 bilgi i\u015flem ortamlar\u0131 i\u00e7in ideal bir se\u00e7imdir.\u00a0TensorRT LLM, e\u011fitimli modelleri optimize edilmi\u015f \u00e7al\u0131\u015fma s\u00fcresi motorlar\u0131na d\u00f6n\u00fc\u015ft\u00fcrme yetene\u011fi sayesinde kayda de\u011fer bir verimlilik elde ederek gecikmeyi \u00f6nemli \u00f6l\u00e7\u00fcde azalt\u0131r ve verimi art\u0131r\u0131r.\u00a0Bu \u00f6zellik esas olarak h\u0131zl\u0131 veri i\u015flemenin ve minimum yan\u0131t s\u00fcrelerinin \u00e7ok \u00f6nemli oldu\u011fu Blade sunucu sistemlerine yarar sa\u011flar.\u00a0Ek olarak, NVIDIA&#8217;n\u0131n geni\u015f GPU yelpazesiyle uyumlulu\u011fu, \u00e7ok y\u00f6nl\u00fcl\u00fc\u011f\u00fcn\u00fc art\u0131rarak onu \u00e7e\u015fitli BT ayarlar\u0131nda \u00f6l\u00e7eklenebilir bir \u00e7\u00f6z\u00fcm haline getiriyor.<\/p>\n<p>NVIDIA TensorRT LLM&#8217;nin \u00f6ne \u00e7\u0131kan \u00f6zelliklerinden biri de da\u011f\u0131t\u0131lm\u0131\u015f e\u011fitim kapasitesidir.\u00a0Bu husus \u00f6zellikle b\u00fcy\u00fck \u00f6l\u00e7ekli makine \u00f6\u011frenimi modellerinin norm oldu\u011fu ortamlarda \u00e7ok \u00f6nemlidir.\u00a0Da\u011f\u0131t\u0131lm\u0131\u015f e\u011fitim, TensorRT LLM&#8217;nin birden fazla sistemden yararlanmas\u0131na olanak tan\u0131yarak hesaplama y\u00fck\u00fcn\u00fc verimli bir \u015fekilde da\u011f\u0131t\u0131r.\u00a0Bu, do\u011fruluk veya performanstan \u00f6d\u00fcn vermeden karma\u015f\u0131k modellerin e\u011fitim s\u00fcresinde \u00f6nemli bir azalmaya yol a\u00e7ar.\u00a0\u00c7e\u015fitli d\u00fc\u011f\u00fcmler aras\u0131nda da\u011f\u0131t\u0131lm\u0131\u015f e\u011fitim ger\u00e7ekle\u015ftirme yetene\u011fi, TensorRT LLM&#8217;yi genellikle b\u00fcy\u00fck kurulu\u015flarda ve ara\u015ft\u0131rma tesislerinde bulunan geni\u015f BT altyap\u0131lar\u0131na son derece uyarlanabilir hale getirir.\u00a0Ayr\u0131ca bu da\u011f\u0131t\u0131lm\u0131\u015f yakla\u015f\u0131m, geli\u015fmi\u015f yapay zeka projelerinde ortak bir zorluk olan devasa veri k\u00fcmelerinin i\u015flenmesini kolayla\u015ft\u0131rarak daha sa\u011flam ve karma\u015f\u0131k yapay zeka modeli geli\u015ftirilmesine olanak tan\u0131yor.<\/p>\n<p>TensorRT LLM&#8217;nin optimizasyonu ve y\u00fcksek performansl\u0131 \u00e7\u0131kar\u0131m yetenekleri, Blade sunucular\u0131n\u0131n yo\u011fun, birbirine ba\u011fl\u0131 do\u011fas\u0131na idealdir.\u00a0Blade sistemleri, TensorRT LLM&#8217;den yararlanarak karma\u015f\u0131k yapay zeka modellerini daha verimli bir \u015fekilde y\u00fcr\u00fctebilir, b\u00f6ylece daha h\u0131zl\u0131 i\u015flem s\u00fcreleri ve daha az gecikme elde edilebilir.\u00a0Bu, \u00f6zellikle finansal modelleme veya sa\u011fl\u0131k hizmetleri te\u015fhisleri gibi ger\u00e7ek zamanl\u0131 veri analizinin ve karar vermenin gerekli oldu\u011fu senaryolarda kritik \u00f6neme sahiptir.<\/p>\n<p>Supermicro SuperBlade&#8217;i TensotRT LLM&#8217;nin da\u011f\u0131t\u0131lm\u0131\u015f e\u011fitim yetenekleri ve birden fazla sisteme uyarlanabilirli\u011fi ile birle\u015ftirmek, varl\u0131\u011f\u0131n teknik profesyoneller ve BT karar vericileri i\u00e7in de\u011ferini art\u0131r\u0131r.\u00a0Kurulu\u015flar, bu g\u00fc\u00e7l\u00fc kombinasyondan yararlanarak b\u00fcy\u00fck \u00f6l\u00e7ekli yapay zeka projelerini verimli bir \u015fekilde y\u00f6netebilir, b\u00f6ylece daha h\u0131zl\u0131 i\u015flem, daha az gecikme ve \u00f6l\u00e7eklenebilir yapay zeka da\u011f\u0131t\u0131mlar\u0131 elde edebilir.\u00a0Bunu kolayla\u015ft\u0131rmak i\u00e7in kasa i\u00e7erisinde Quantum InfiniBand a\u011f\u0131n\u0131 kullan\u0131yoruz.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"MLPerf_ile_Tek_Blade_Cikarim_Performansi_Karsilastirmasi\"><\/span>MLPerf ile Tek Blade \u00c7\u0131kar\u0131m Performans\u0131 Kar\u015f\u0131la\u015ft\u0131rmas\u0131<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>GPU blade&#8217;lerindeki d\u00fc\u011f\u00fcm ba\u015f\u0131na bir CPU&#8217;dan bir GPU&#8217;ya mimari, \u00f6zellikle tek blade \u00e7\u0131kar\u0131m g\u00f6revleri i\u00e7in yapay zeka ve veri analiti\u011fi i\u015f y\u00fckleri i\u00e7in potansiyel faydalar sunar.\u00a0Bu tasar\u0131m, dengeli bir i\u015flem g\u00fcc\u00fc oran\u0131 sa\u011flayarak GPU&#8217;nun yeteneklerinin en iyi \u015fekilde kullan\u0131lmas\u0131n\u0131 sa\u011flar.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1535\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-11-300x173.jpg\" alt=\"\" width=\"636\" height=\"367\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-11-300x173.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-11-1024x591.jpg 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-11-768x443.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-11.jpg 1500w\" sizes=\"(max-width: 636px) 100vw, 636px\" \/><\/p>\n<p>Tek Blade \u00c7\u0131kar\u0131m\u0131 performans\u0131n\u0131 test etmek i\u00e7in MLPerf 3.1 Inference&#8217;\u0131 hem \u00e7evrimd\u0131\u015f\u0131 hem de sunucuda \u00e7al\u0131\u015ft\u0131rd\u0131k.\u00a0BERT (Transformat\u00f6rlerden \u00c7ift Y\u00f6nl\u00fc Kodlay\u0131c\u0131 G\u00f6sterimleri), \u00f6ncelikle soru yan\u0131tlama, dil anlama ve c\u00fcmle s\u0131n\u0131fland\u0131rma gibi do\u011fal dil i\u015fleme g\u00f6revleri i\u00e7in kullan\u0131lan transformat\u00f6r tabanl\u0131 bir modeldir.\u00a0ResNet-50, g\u00f6r\u00fcnt\u00fc s\u0131n\u0131fland\u0131rma g\u00f6revleri i\u00e7in yayg\u0131n olarak kullan\u0131lan bir evri\u015fimli sinir a\u011f\u0131 (CNN) modelidir.\u00a0Derin mimarisi ve verimli performans\u0131yla bilinen ResNet modelinin 50 katmanl\u0131 bir \u00e7e\u015fididir.<\/p>\n<table width=\"308\">\n<tbody>\n<tr>\n<th colspan=\"2\">Tek D\u00fc\u011f\u00fcml\u00fc \u00c7\u0131kar\u0131m<\/th>\n<\/tr>\n<tr>\n<td width=\"221\">ResNet-50 \u2013 \u00c7evrimd\u0131\u015f\u0131:<\/td>\n<td width=\"87\">46,326.6<\/td>\n<\/tr>\n<tr>\n<td width=\"221\">ResNet-50 \u2013 Sunucu:<\/td>\n<td>47,717.4<\/td>\n<\/tr>\n<tr>\n<td width=\"221\">BERT K99 \u2013 \u00c7evrimd\u0131\u015f\u0131:<\/td>\n<td>3,702.4<\/td>\n<\/tr>\n<tr>\n<td width=\"221\">BERT K99 \u2013 Sunucu:<\/td>\n<td>4,564.11<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\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.\u00a0Bu 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.\u00a0Web sunucular\u0131 veya etkile\u015fimli uygulamalar gibi an\u0131nda m\u00fcdahalenin gerekli oldu\u011fu ger\u00e7ek zamanl\u0131 uygulamalar i\u00e7in \u00e7ok \u00f6nemlidir.<\/li>\n<\/ul>\n<p>\u00c7\u0131kar\u0131m g\u00f6revlerinde GPU, hesaplaman\u0131n a\u011f\u0131r y\u00fck\u00fcnden \u00f6ncelikli olarak sorumludur.\u00a0Sistem, onu \u00f6zel bir CPU ile e\u015fle\u015ftirerek, GPU&#8217;nun, payla\u015f\u0131lan CPU veya platform kaynaklar\u0131 taraf\u0131ndan t\u0131kanmadan verimli bir \u015fekilde \u00e7al\u0131\u015fabilmesini sa\u011flar.\u00a0Bu, canl\u0131 video analizi veya an\u0131nda dil \u00e7evirisi gibi ger\u00e7ek zamanl\u0131 veri i\u015fleme senaryolar\u0131nda \u00e7ok \u00f6nemlidir.<\/p>\n<p>\u0130lgin\u00e7 bir \u015fekilde, bu 1:1 CPU-GPU oran\u0131n\u0131n performansta daha fazla \u00f6ng\u00f6r\u00fclebilirlik sa\u011flad\u0131\u011f\u0131n\u0131 g\u00f6zlemledik.\u00a0Her d\u00fc\u011f\u00fcm ba\u011f\u0131ms\u0131z olarak \u00e7al\u0131\u015farak tutarl\u0131 i\u015flem s\u00fcreleri sa\u011flar ve \u00e7\u0131kar\u0131m g\u00f6revlerindeki de\u011fi\u015fkenli\u011fi azalt\u0131r.\u00a0Bu \u00f6ng\u00f6r\u00fclebilirlik, yan\u0131t s\u00fcresinin kritik oldu\u011fu ortamlarda hayati \u00f6neme sahiptir.<\/p>\n<p>Genel olarak SuperBlade H100&#8217;deki bir CPU&#8217;dan bir GPU&#8217;ya yap\u0131land\u0131rmas\u0131 her iki bile\u015fenin etkinli\u011fini en \u00fcst d\u00fczeye \u00e7\u0131kar\u0131r.\u00a0Bu, her d\u00fc\u011f\u00fcm\u00fcn ba\u011f\u0131ms\u0131z modelleri ve s\u00fcre\u00e7leri \u00e7al\u0131\u015ft\u0131rmas\u0131yla, her d\u00fc\u011f\u00fcm\u00fcn \u00e7\u0131kar\u0131m g\u00f6revleri i\u00e7in en iyi performans\u0131 sunmas\u0131n\u0131 sa\u011flar.\u00a0Bu mimari, sistemin ger\u00e7ek zamanl\u0131 veri i\u015fleme taleplerini verimli ve g\u00fcvenilir bir \u015fekilde kar\u015f\u0131lama yetene\u011fini geli\u015ftirir.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Uyarlanabilir_Is_Yuku_Yonetimi\"><\/span>Uyarlanabilir \u0130\u015f Y\u00fck\u00fc Y\u00f6netimi<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>T\u00fcm bilgiler dikkate al\u0131nd\u0131\u011f\u0131nda SuperBlade sisteminin son derece uyarlanabilir oldu\u011fu a\u00e7\u0131kt\u0131r.\u00a0\u00c7\u0131kar\u0131m talebinin y\u00fcksek oldu\u011fu yo\u011fun saatlerde, bu g\u00f6revleri yerine getirmek i\u00e7in daha fazla GPU \u00f6zellikli blade dinamik olarak tahsis edilebilir ve b\u00f6ylece ger\u00e7ek zamanl\u0131 isteklerin verimli bir \u015fekilde ele al\u0131nmas\u0131 sa\u011flan\u0131r.\u00a0Bunun tersine, yo\u011fun olmayan saatlerde bu kaynaklar, yapay zeka modellerinin ince ayar\u0131n\u0131n yap\u0131lmas\u0131na veya zamana daha az duyarl\u0131 g\u00f6revlerin i\u015flenmesine odaklanacak \u015fekilde kayd\u0131r\u0131labilir.\u00a0Bu esneklik, kaynaklar\u0131n optimum \u015fekilde kullan\u0131lmas\u0131na olanak tan\u0131yarak SuperBlade sisteminin de\u011fi\u015fen hesaplama y\u00fcklerini y\u00f6netmede sa\u011flam ve verimli olmas\u0131n\u0131 sa\u011flar.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Bu_Senaryolarda_200G_NVIDIA_Quantum_InfiniBandin_Avantajlari\"><\/span>Bu Senaryolarda 200G\u00a0<b>NVIDIA Quantum<\/b>\u00a0InfiniBand&#8217;\u0131n Avantajlar\u0131<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>SuperBlade H100 sistemine 200G InfiniBand&#8217;\u0131n dahil edilmesi, y\u00fcksek h\u0131zl\u0131 veri aktar\u0131m\u0131n\u0131n omurgas\u0131n\u0131 sa\u011flayarak bu senaryolar\u0131 geli\u015ftirir.\u00a0Da\u011f\u0131t\u0131lm\u0131\u015f e\u011fitim, blade&#8217;ler aras\u0131nda verilerin daha h\u0131zl\u0131 senkronize edilmesini sa\u011flar; bu, e\u011fitim s\u00fcrecinin tutarl\u0131l\u0131\u011f\u0131n\u0131 ve h\u0131z\u0131n\u0131 korumak i\u00e7in gereklidir.\u00a0Tek kanatl\u0131 \u00e7\u0131kar\u0131m, b\u00fcy\u00fck veri k\u00fcmelerinin i\u015flenmek \u00fczere blade&#8217;e h\u0131zl\u0131 bir \u015fekilde ta\u015f\u0131nabilmesini sa\u011flar, gecikmeyi azalt\u0131r ve verimi art\u0131r\u0131r.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Quantum_InfiniBandda_Neler_Var\"><\/span>Quantum InfiniBand&#8217;da Neler Var?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Y\u00fcksek performansl\u0131 bilgi i\u015flemin temel ta\u015f\u0131 olan InfiniBand, ba\u015flang\u0131\u00e7ta s\u00fcper bilgi i\u015flem k\u00fcmeleri i\u00e7inde giderek artan veri aktar\u0131m\u0131 ve ileti\u015fim taleplerini kar\u015f\u0131lamak i\u00e7in geli\u015ftirilen y\u00fcksek h\u0131zl\u0131 bir ara ba\u011flant\u0131 teknolojisidir.\u00a0Bu son derece uzmanla\u015fm\u0131\u015f a\u011f \u00e7\u00f6z\u00fcm\u00fc y\u0131llar i\u00e7inde geli\u015ferek son derece d\u00fc\u015f\u00fck gecikme s\u00fcresi ve y\u00fcksek bant geni\u015fli\u011fi sunarak HPC ortamlar\u0131ndaki sunucular\u0131, depolama sistemlerini ve di\u011fer bile\u015fenleri ba\u011flamak i\u00e7in ideal hale getirdi.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1536\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-infiniband-promopackage-kv-1600x900-1-300x169.png\" alt=\"\" width=\"680\" height=\"383\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-infiniband-promopackage-kv-1600x900-1-300x169.png 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-infiniband-promopackage-kv-1600x900-1-1024x576.png 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-infiniband-promopackage-kv-1600x900-1-768x432.png 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-infiniband-promopackage-kv-1600x900-1-1536x864.png 1536w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-infiniband-promopackage-kv-1600x900-1.png 1600w\" sizes=\"(max-width: 680px) 100vw, 680px\" \/><\/p>\n<p>G\u00f6nderdi\u011fimiz Supermicro X13 blade&#8217;ler 200G InfiniBand a\u011f\u0131 ve 25G ethernet ile donat\u0131lm\u0131\u015f olarak geldi.\u00a0Bu, \u00f6zellikle da\u011f\u0131t\u0131lm\u0131\u015f e\u011fitim ve di\u011fer gecikmeli ve veri yo\u011funluklu g\u00f6revler \u00fczerinde \u00e7al\u0131\u015f\u0131rken yararl\u0131 oldu.\u00a0Yukar\u0131da bahsedilen olduk\u00e7a de\u011fi\u015fken (ve zaman al\u0131c\u0131) birka\u00e7 e\u011fitim d\u00f6neminden sonra, InfiniBand a\u011f\u0131n\u0131n blade kasas\u0131n\u0131n say\u0131s\u0131z pininde gizli olan ger\u00e7ek d\u00fcnya test \u00f6l\u00e7\u00fcmlerini sa\u011flamak i\u00e7in farkl\u0131 bir \u00f6l\u00e7\u00fcme ihtiyac\u0131m\u0131z oldu\u011funu belirledik.\u00a0\u00c7al\u0131\u015ft\u0131rmadan \u00e7al\u0131\u015ft\u0131rmaya ince ayar\u0131n a\u015f\u0131r\u0131 de\u011fi\u015fkenli\u011fi g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda, bu g\u00f6revler i\u00e7in bunun gibi \u00e7ok d\u00fc\u011f\u00fcml\u00fc bir sistem kullanman\u0131n etkisini veya etki eksikli\u011fini \u00f6l\u00e7meye \u00e7al\u0131\u015fmak sorumsuzluk olacakt\u0131r.\u00a0Sonu\u00e7lar \u015fa\u015f\u0131rt\u0131c\u0131n\u0131n da \u00f6tesindeydi.<\/p>\n<p><a title=\"Yeni bir pencerede a\u00e7\u0131l\u0131r\" href=\"https:\/\/docs.nvidia.com\/networking\/display\/hpcxv217\/clusterkit\" target=\"_blank\" rel=\"noopener\">\u00a0NVIDIA ClusterKit&#8217;e<\/a>\u00a0girin\u00a0.\u00a0NVIDIA ClusterKit, \u00e7ok d\u00fc\u011f\u00fcml\u00fc GPU k\u00fcmelerinin t\u00fcm potansiyelini test etmek i\u00e7in tasarlanm\u0131\u015f bir ara\u00e7 seti olup, yapay zeka ve HPC uygulay\u0131c\u0131lar\u0131na i\u015f y\u00fcklerinin performans\u0131n\u0131, verimlili\u011fini ve \u00f6l\u00e7eklenebilirli\u011fini \u00f6l\u00e7mek i\u00e7in ilgin\u00e7 bir ara\u00e7 paketi sunar.<\/p>\n<p>ClusterKit&#8217;te iki temel araca odakland\u0131k:<\/p>\n<ul>\n<li>Bant Geni\u015fli\u011fi Testi: Bant geni\u015fli\u011fi, HPC&#8217;de belirli bir zamanda a\u011f \u00fczerinden iletilebilecek veri miktar\u0131n\u0131 yans\u0131tan kritik bir \u00f6l\u00e7\u00fcmd\u00fcr.\u00a0Supermicro SuperBlade kurulumunda d\u00fc\u011f\u00fcmler aras\u0131ndaki \u00e7ift y\u00f6nl\u00fc (duplex) bant geni\u015fli\u011fini \u00f6l\u00e7mek i\u00e7in NVIDIA ClusterKit&#8217;i kulland\u0131k.\u00a0\u00c7ift y\u00f6nl\u00fc \u00f6l\u00e7\u00fcmler, verilerin her iki y\u00f6nde ayn\u0131 anda akt\u0131\u011f\u0131 ger\u00e7ek d\u00fcnya senaryosunu yans\u0131tt\u0131klar\u0131 i\u00e7in \u00f6nemlidir.<\/li>\n<li>Gecikme Testi: Gecikme veya bir mesaj\u0131n a\u011fdaki bir noktadan di\u011ferine gitmesi i\u00e7in ge\u00e7en s\u00fcre, bir di\u011fer \u00f6nemli performans \u00f6l\u00e7\u00fct\u00fcd\u00fcr.\u00a0D\u00fc\u015f\u00fck gecikme, s\u0131k\u0131 bir \u015fekilde ba\u011fl\u0131 HPC uygulamalar\u0131nda \u00f6nemlidir.\u00a0NVIDIA ClusterKit&#8217;in \u00e7ift y\u00f6nl\u00fc gecikme s\u00fcrelerini do\u011fru bir \u015fekilde \u00f6l\u00e7me yetene\u011fi, SuperBlade&#8217;lerdeki InfiniBand a\u011f\u0131n\u0131n yan\u0131t verme h\u0131z\u0131na ili\u015fkin de\u011ferli bilgiler sa\u011flad\u0131.<\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"ClusterKit_ile_SuperBlade_InfiniBand_ve_H100_GPU_Karsilastirma_Sonuclari\"><\/span>ClusterKit ile SuperBlade InfiniBand ve H100 GPU Kar\u015f\u0131la\u015ft\u0131rma Sonu\u00e7lar\u0131<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Bu b\u00f6l\u00fcme girerken, her d\u00fc\u011f\u00fcm\u00fcn benzersiz bir etiketle (\u00f6rne\u011fin, smci-a7, smci-a1, vb.) tan\u0131mland\u0131\u011f\u0131n\u0131 anlamak \u00f6nemlidir.\u00a0-1, -3, -5 ve -7&#8217;nin g\u00f6sterimi, blade&#8217;in kasadaki fiziksel konumunu yans\u0131tan ana bilgisayar ad\u0131d\u0131r.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1537\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-smci-blade-logical-view-x13-superblade-e1706725612981-300x144.png\" alt=\"\" width=\"748\" height=\"359\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-smci-blade-logical-view-x13-superblade-e1706725612981-300x144.png 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-smci-blade-logical-view-x13-superblade-e1706725612981-1024x492.png 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-smci-blade-logical-view-x13-superblade-e1706725612981-768x369.png 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-smci-blade-logical-view-x13-superblade-e1706725612981.png 1082w\" sizes=\"(max-width: 748px) 100vw, 748px\" \/><\/p>\n<p>\u0130lk test, k\u00fcmedeki \u00e7e\u015fitli d\u00fc\u011f\u00fcmler aras\u0131ndaki \u00e7ift y\u00f6nl\u00fc bant geni\u015fli\u011fini \u00f6l\u00e7meye odakland\u0131.\u00a0Test, 16 kez yinelenen 8.388.608 baytl\u0131k bir mesaj boyutunu i\u00e7eriyordu.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"GPU_Dogrudan_Testleri\"><\/span>GPU Do\u011frudan Testleri<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>\u0130lk \u00f6nce GPU Direct testlerine bir g\u00f6z at\u0131yoruz.\u00a0Bu, bu yaz\u0131n\u0131n yaz\u0131ld\u0131\u011f\u0131 s\u0131rada mevcut olan en yeni ve en iyi SDK&#8217;lar\u0131n ve ara\u00e7 tak\u0131mlar\u0131n\u0131n t\u00fcm\u00fcn\u00fc kullanarak blade platformunun mutlak maksimum verimini bildirir.\u00a0Testin bant geni\u015fli\u011fini \u00e7ift y\u00f6nl\u00fc olarak rapor etti\u011fini, yani bant geni\u015fli\u011finin her iki y\u00f6nde de toplam oldu\u011funu belirtmek \u00f6nemlidir.\u00a0Tek y\u00f6n yakla\u015f\u0131k yar\u0131m olacakt\u0131r.\u00a0Temel \u00e7\u0131kar\u0131m, bant geni\u015fli\u011fini s\u0131n\u0131rlayan fakt\u00f6r\u00fcn 200G InfiniBand oldu\u011fudur, ancak daha sonra g\u00f6rece\u011fimiz gibi bu \u00e7ok fazla endi\u015fe kayna\u011f\u0131 de\u011fildir.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1538\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-supermicro-superblade-nvidia-infiniband-cudakit-300x167.png\" alt=\"\" width=\"753\" height=\"419\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-supermicro-superblade-nvidia-infiniband-cudakit-300x167.png 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-supermicro-superblade-nvidia-infiniband-cudakit-1024x569.png 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-supermicro-superblade-nvidia-infiniband-cudakit-768x426.png 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-supermicro-superblade-nvidia-infiniband-cudakit-1536x853.png 1536w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-supermicro-superblade-nvidia-infiniband-cudakit-800x445.png 800w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-supermicro-superblade-nvidia-infiniband-cudakit.png 1920w\" sizes=\"(max-width: 753px) 100vw, 753px\" \/><\/p>\n<p>A\u015fa\u011f\u0131daki matris GPUDirect kullan\u0131larak \u00e7ift y\u00f6nl\u00fc bant geni\u015fli\u011fini g\u00f6stermektedir.<\/p>\n<h5><span class=\"ez-toc-section\" id=\"Bant_Genisligi_Matrisi_MBsn\"><\/span>Bant Geni\u015fli\u011fi Matrisi MB\/sn<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<table>\n<thead>\n<tr>\n<th>S\u0131ra\/D\u00fc\u011f\u00fcm<\/th>\n<th>smci-a7<\/th>\n<th>smci-a1<\/th>\n<th>smci-a3<\/th>\n<th>smci-a5<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>0 (smci-a7)<\/strong><\/td>\n<td>0.0<\/td>\n<td>49,221.6<\/td>\n<td>49,193.6<\/td>\n<td>49,223.6<\/td>\n<\/tr>\n<tr>\n<td><strong>1 (smci-a1)<\/strong><\/td>\n<td>49,221.6<\/td>\n<td>0.0<\/td>\n<td>49,219.5<\/td>\n<td>49,142.7<\/td>\n<\/tr>\n<tr>\n<td><strong>2 (smci-a3)<\/strong><\/td>\n<td>49,193.6<\/td>\n<td>49,219.5<\/td>\n<td>0.0<\/td>\n<td>49,219.7<\/td>\n<\/tr>\n<tr>\n<td><strong>3 (smci-a5)<\/strong><\/td>\n<td>49,223.6<\/td>\n<td>49,142.7<\/td>\n<td>49,219.7<\/td>\n<td>0.0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5><span class=\"ez-toc-section\" id=\"Gecikme_kullanim_suresi\"><\/span>Gecikme kullan\u0131m s\u00fcresi<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>S\u0131rada mikrosaniyelerle \u00f6l\u00e7\u00fclen dikkat \u00e7ekici gecikme testi sonu\u00e7lar\u0131 vard\u0131.\u00a0GPU Direct testleri, birden fazla GPU&#8217;nun yerel olarak bir ana bilgisayara sahip olmas\u0131 kadar iyiydi.<\/p>\n<table>\n<thead>\n<tr>\n<th>R\u00fctbe<\/th>\n<th>smci-a7<\/th>\n<th>smci-a1<\/th>\n<th>smci-a3<\/th>\n<th>smci-a5<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>0 (smci-a7)<\/strong><\/td>\n<td>0.00<\/td>\n<td>1.38<\/td>\n<td>1.24<\/td>\n<td>1.38<\/td>\n<\/tr>\n<tr>\n<td><strong>1 (smci-a1)<\/strong><\/td>\n<td>1.38<\/td>\n<td>0.00<\/td>\n<td>1.25<\/td>\n<td>1.36<\/td>\n<\/tr>\n<tr>\n<td><strong>2 (smci-a3)<\/strong><\/td>\n<td>1.24<\/td>\n<td>1.25<\/td>\n<td>0.00<\/td>\n<td>1.32<\/td>\n<\/tr>\n<tr>\n<td><strong>3 (smci-a5)<\/strong><\/td>\n<td>1.38<\/td>\n<td>1.36<\/td>\n<td>1.32<\/td>\n<td>0.00<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4><span class=\"ez-toc-section\" id=\"GPU_Komsu_Testleri\"><\/span>GPU Kom\u015fu Testleri<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>GPU kom\u015fu testlerine ge\u00e7ersek, bant geni\u015fli\u011fi yine \u00e7ift y\u00f6nl\u00fc olarak raporlan\u0131r, yani bant geni\u015fli\u011fi her iki y\u00f6nde de toplamd\u0131r.\u00a0Tek y\u00f6n yakla\u015f\u0131k yar\u0131m olacakt\u0131r.\u00a0A\u015fa\u011f\u0131daki matris,\u00a0d\u00f6rt d\u00fc\u011f\u00fcm\u00fcn her birindeki\u00a0<strong>H100 kartlar\u0131 aras\u0131ndaki \u00e7ift y\u00f6nl\u00fc bant geni\u015fli\u011fini g\u00f6sterir.\u00a0<\/strong>Bu, GPUDirect kitapl\u0131klar\u0131n\u0131n h\u0131zland\u0131r\u0131lmas\u0131n\u0131 kullanmaz.\u00a01, 3, 5 ve 7&#8217;nin g\u00f6sterimi, blade&#8217;in kasadaki fiziksel konumunu yans\u0131tan ana bilgisayar ad\u0131d\u0131r.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1539\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-SBM-IBS-H4020-SuperBlade-hdr-200g-infiniband-switch-300x51.png\" alt=\"\" width=\"735\" height=\"125\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-SBM-IBS-H4020-SuperBlade-hdr-200g-infiniband-switch-300x51.png 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-SBM-IBS-H4020-SuperBlade-hdr-200g-infiniband-switch-1024x176.png 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-SBM-IBS-H4020-SuperBlade-hdr-200g-infiniband-switch-768x132.png 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/storagereview-SBM-IBS-H4020-SuperBlade-hdr-200g-infiniband-switch.png 1283w\" sizes=\"(max-width: 735px) 100vw, 735px\" \/><\/p>\n<h5><span class=\"ez-toc-section\" id=\"GPU_Komsu_Bant_Genisligi_MBs\"><\/span>GPU Kom\u015fu Bant Geni\u015fli\u011fi (MB\/s)<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u201cGPU Kom\u015fu Bant Geni\u015fli\u011fi\u201d testi, ayn\u0131 sistem veya d\u00fc\u011f\u00fcm i\u00e7indeki kom\u015fu GPU&#8217;lar aras\u0131ndaki veri aktar\u0131m h\u0131z\u0131n\u0131 \u00f6l\u00e7er.\u00a0Bu \u00f6l\u00e7\u00fcm, \u00e7oklu GPU paralel i\u015fleme g\u00f6revleri gibi birbirine yak\u0131n GPU&#8217;lar aras\u0131nda s\u0131k veri al\u0131\u015fveri\u015fi gerektiren uygulamalar i\u00e7in \u00e7ok \u00f6nemlidir.\u00a0Bant geni\u015fli\u011fi ne kadar y\u00fcksek olursa veri aktar\u0131m\u0131 da o kadar h\u0131zl\u0131 olur ve bu da GPU&#8217;nun yo\u011fun kullan\u0131ld\u0131\u011f\u0131 uygulamalarda potansiyel olarak iyile\u015ftirilmi\u015f performansa yol a\u00e7ar.<\/p>\n<table>\n<tbody>\n<tr>\n<th>GPU<\/th>\n<th>Bant geni\u015fli\u011fi (MB\/s)<\/th>\n<\/tr>\n<tr>\n<td>smci-a1 ile smci-a7<\/td>\n<td>30,653.9<\/td>\n<\/tr>\n<tr>\n<td>smci-a5 ile smci-a3<\/td>\n<td>30,866.7<\/td>\n<\/tr>\n<tr>\n<td><strong>Ortalama<\/strong><\/td>\n<td><strong>30,760.3<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5><span class=\"ez-toc-section\" id=\"GPU_Bellek_Bant_Genisligi_MBs\"><\/span>GPU Bellek Bant Geni\u015fli\u011fi (MB\/s)<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u201cGPU Bellek Bant Geni\u015fli\u011fi\u201d testi, verilerin GPU&#8217;nun kendisi taraf\u0131ndan GPU belle\u011finden okunma veya burada saklanma h\u0131z\u0131n\u0131 de\u011ferlendirir.\u00a0Bu bant geni\u015fli\u011fi, \u00f6zellikle b\u00fcy\u00fck veri k\u00fcmeleri i\u00e7eren veya g\u00f6r\u00fcnt\u00fc i\u015fleme, sim\u00fclasyonlar veya derin \u00f6\u011frenme gibi g\u00f6revler i\u00e7in y\u00fcksek verim gerektiren uygulamalar i\u00e7in kritik bir performans unsurudur.\u00a0Daha y\u00fcksek bellek bant geni\u015fli\u011fi, GPU&#8217;nun b\u00fcy\u00fck hacimli verileri verimli bir \u015fekilde i\u015fleme yetene\u011finin daha iyi oldu\u011funu g\u00f6sterir.\u00a0Bu test bize X13 Blade&#8217;lerin H100 GPU&#8217;lar\u0131 s\u00fcrd\u00fcrmede sorun ya\u015famad\u0131\u011f\u0131n\u0131 g\u00f6steriyor.<\/p>\n<table>\n<tbody>\n<tr>\n<th>GPU<\/th>\n<th>Bant geni\u015fli\u011fi<\/th>\n<\/tr>\n<tr>\n<td>smci-a7-GPU0<\/td>\n<td>55,546.3<\/td>\n<\/tr>\n<tr>\n<td>smci-a1-GPU0<\/td>\n<td>55,544.9<\/td>\n<\/tr>\n<tr>\n<td>smci-a3-GPU0<\/td>\n<td>55,525.5<\/td>\n<\/tr>\n<tr>\n<td>smci-a5-GPU0<\/td>\n<td>55,549.8<\/td>\n<\/tr>\n<tr>\n<td><strong>Ortalama<\/strong><\/td>\n<td><strong>55,541.6<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5><span class=\"ez-toc-section\" id=\"GPUdan_GPUya_Bant_Genisligi_MBs\"><\/span>GPU&#8217;dan GPU&#8217;ya Bant Geni\u015fli\u011fi (MB\/s)<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>Bu test, farkl\u0131 GPU&#8217;lar aras\u0131ndaki \u00e7ift y\u00f6nl\u00fc bant geni\u015fli\u011fini \u00f6l\u00e7er.\u00a0Birden fazla GPU&#8217;ya da\u011f\u0131t\u0131lm\u0131\u015f karma\u015f\u0131k hesaplamalar i\u00e7eren ve GPU&#8217;lar aras\u0131ndaki veri aktar\u0131m h\u0131z\u0131n\u0131n genel i\u015flem s\u00fcresini \u00f6nemli \u00f6l\u00e7\u00fcde etkileyebildi\u011fi g\u00f6revler i\u00e7in bu gereklidir.\u00a0GPU&#8217;dan GPU&#8217;ya y\u00fcksek bant geni\u015fli\u011fi, \u00e7oklu GPU i\u015f ak\u0131\u015flar\u0131n\u0131 ve paralel bilgi i\u015flem g\u00f6revlerini h\u0131zland\u0131rmak i\u00e7in faydal\u0131d\u0131r.<\/p>\n<table>\n<tbody>\n<tr>\n<th>GPU<\/th>\n<th>smci-a7<\/th>\n<th>smci-a1<\/th>\n<th>smci-a3<\/th>\n<th>smci-a5<\/th>\n<\/tr>\n<tr>\n<td>smci-a7-GPU0<\/td>\n<td>0.0<\/td>\n<td>30,719.8<\/td>\n<td>30,817.7<\/td>\n<td>30,823.8<\/td>\n<\/tr>\n<tr>\n<td>smci-a1-GPU0<\/td>\n<td>30,719.8<\/td>\n<td>0.0<\/td>\n<td>30,710.0<\/td>\n<td>30,670.9<\/td>\n<\/tr>\n<tr>\n<td>smci-a3-GPU0<\/td>\n<td>30,817.7<\/td>\n<td>30,710.0<\/td>\n<td>0.0<\/td>\n<td>30,835.1<\/td>\n<\/tr>\n<tr>\n<td>smci-a5-GPU0<\/td>\n<td>30,823.8<\/td>\n<td>30,670.9<\/td>\n<td>30,835.1<\/td>\n<td>0.0<\/td>\n<\/tr>\n<tr>\n<td><strong>Ortalama<\/strong><\/td>\n<td><strong>30,762.9<\/strong><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5><span class=\"ez-toc-section\" id=\"GPU0_%E2%80%93_Uzak_Ana_Bilgisayar_Bant_Genisligi_MBs\"><\/span>GPU0 &#8211; Uzak Ana Bilgisayar Bant Geni\u015fli\u011fi (MB\/s)<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u201cGPU0&#8217;dan Uzak Ana Bilgisayar Bant Geni\u015fli\u011fine\u201d testi, birincil GPU (GPU0) ile uzak ana bilgisayar sistemi aras\u0131ndaki veri aktar\u0131m h\u0131z\u0131n\u0131 \u00f6l\u00e7er.\u00a0Bu, verilerin ana GPU ile a\u011f ba\u011flant\u0131l\u0131 bir sistemin di\u011fer b\u00f6l\u00fcmleri aras\u0131nda s\u0131k s\u0131k ta\u015f\u0131nmas\u0131 gereken, da\u011f\u0131t\u0131lm\u0131\u015f derin \u00f6\u011frenme e\u011fitimi veya uzak sunuculardaki veri analizi gibi g\u00f6revleri etkileyen da\u011f\u0131t\u0131lm\u0131\u015f bilgi i\u015flem ortamlar\u0131nda hayati \u00f6neme sahiptir.<\/p>\n<table>\n<tbody>\n<tr>\n<th>GPU<\/th>\n<th>smci-a7<\/th>\n<th>smci-a1<\/th>\n<th>smci-a3<\/th>\n<th>smci-a5<\/th>\n<\/tr>\n<tr>\n<td>smci-a7<\/td>\n<td>0.0<\/td>\n<td>30,804.3<\/td>\n<td>30,753.5<\/td>\n<td>30,768.1<\/td>\n<\/tr>\n<tr>\n<td>smci-a1<\/td>\n<td>30,804.3<\/td>\n<td>0.0<\/td>\n<td>30,732.9<\/td>\n<td>30,679.7<\/td>\n<\/tr>\n<tr>\n<td>smci-a3<\/td>\n<td>30,753.5<\/td>\n<td>30,732.9<\/td>\n<td>0.0<\/td>\n<td>30,970.8<\/td>\n<\/tr>\n<tr>\n<td>smci-a5<\/td>\n<td>30,768.1<\/td>\n<td>30,679.7<\/td>\n<td>30,970.8<\/td>\n<td>0.0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5><span class=\"ez-toc-section\" id=\"GPU_Komsu_Gecikmesi_%CE%BCsaniye\"><\/span>GPU Kom\u015fu Gecikmesi (\u03bcsaniye)<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>&#8220;GPU Kom\u015fu Gecikmesi&#8221; testi, k\u00fc\u00e7\u00fck miktarda verinin bir GPU&#8217;dan kom\u015fu GPU&#8217;ya gitmesi i\u00e7in ge\u00e7en s\u00fcreyi \u00f6l\u00e7er.\u00a0\u00d6zellikle ger\u00e7ek zamanl\u0131 veri i\u015fleme veya GPU&#8217;lar aras\u0131nda y\u00fcksek h\u0131zl\u0131 ileti\u015fim gerektiren, ger\u00e7ek zamanl\u0131 i\u015fleme veya karma\u015f\u0131k bilimsel sim\u00fclasyonlar gibi uygulamalarda gecikmenin daha d\u00fc\u015f\u00fck olmas\u0131 arzu edilir.<\/p>\n<table>\n<tbody>\n<tr>\n<th>GPU<\/th>\n<th>Gecikme<\/th>\n<\/tr>\n<tr>\n<td>smci-a1 ile smci-a7<\/td>\n<td>11.03<\/td>\n<\/tr>\n<tr>\n<td>smci-a5 ile smci-a3<\/td>\n<td>11.01<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h5><span class=\"ez-toc-section\" id=\"GPUdan_Uzak_Ana_Bilgisayara_Gecikme_%CE%BCsaniye\"><\/span>GPU&#8217;dan Uzak Ana Bilgisayara Gecikme (\u03bcsaniye)<span class=\"ez-toc-section-end\"><\/span><\/h5>\n<p>\u201cGPU0&#8217;dan Uzak Ana Bilgisayara Gecikme\u201d testi, birincil GPU (GPU0) ile uzak ana bilgisayar sistemi aras\u0131ndaki veri ileti\u015fimindeki gecikmeyi \u00f6l\u00e7er.\u00a0Bu gecikme, da\u011f\u0131t\u0131lm\u0131\u015f bilgi i\u015flem ortamlar\u0131nda kritik bir fakt\u00f6rd\u00fcr ve bulut tabanl\u0131 oyun veya uzaktan veri i\u015fleme gibi GPU ile uzak sistemler aras\u0131ndaki etkile\u015fime dayanan uygulamalar\u0131n yan\u0131t verme h\u0131z\u0131n\u0131 ve verimlili\u011fini etkiler.<\/p>\n<table>\n<tbody>\n<tr>\n<th>GPU<\/th>\n<th>smci-a7<\/th>\n<th>smci-a1<\/th>\n<th>smci-a3<\/th>\n<th>smci-a5<\/th>\n<\/tr>\n<tr>\n<td>smci-a7<\/td>\n<td>0.00<\/td>\n<td>3.35<\/td>\n<td>3.36<\/td>\n<td>3.33<\/td>\n<\/tr>\n<tr>\n<td>smci-a1<\/td>\n<td>3.35<\/td>\n<td>0.00<\/td>\n<td>3.41<\/td>\n<td>3.37<\/td>\n<\/tr>\n<tr>\n<td>smci-a3<\/td>\n<td>3.36<\/td>\n<td>3.41<\/td>\n<td>0.00<\/td>\n<td>3.37<\/td>\n<\/tr>\n<tr>\n<td>smci-a5<\/td>\n<td>3.33<\/td>\n<td>3.37<\/td>\n<td>3.37<\/td>\n<td>0.00<\/td>\n<\/tr>\n<tr>\n<td><strong>Ortalama<\/strong><\/td>\n<td><strong>3.37<\/strong><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>NVIDIA ClusterKit testleri, Supermicro SuperBlades&#8217;teki InfiniBand a\u011f\u0131 i\u00e7in etkileyici performans \u00f6l\u00e7\u00fcmlerini ortaya \u00e7\u0131kard\u0131.\u00a0\u00c7ift y\u00f6nl\u00fc bant geni\u015fli\u011fi testleri, InfiniBand&#8217;\u0131n yeteneklerinin verimli \u015fekilde kullan\u0131ld\u0131\u011f\u0131n\u0131 g\u00f6steren y\u00fcksek veri aktar\u0131m h\u0131zlar\u0131n\u0131 ortaya \u00e7\u0131kard\u0131.\u00a0Benzer \u015fekilde, gecikme testleri minimum gecikmeler g\u00f6stererek a\u011f\u0131n zorlu HPC g\u00f6revleri i\u00e7in uygunlu\u011funu ortaya koydu.\u00a0Bu, bu platformun ba\u011f\u0131ms\u0131z sistemlerle ayn\u0131 performans\u0131 g\u00f6sterdi\u011fi ve \u00e7ok daha y\u00fcksek yo\u011funlukta bilgi i\u015flem ve a\u011f ileti\u015fimi sundu\u011fu anlam\u0131na geliyor; hepsi birle\u015ftirilmi\u015f bir \u00e7\u00f6z\u00fcmde.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bagimsiz_GPU_Sunucu_Testi\"><\/span>Ba\u011f\u0131ms\u0131z GPU Sunucu Testi<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Daha sonra, 4x NVIDIA H100&#8217;leri ayn\u0131 anda 4&#8217;\u00fcn\u00fc de destekleyebilen bir\u00a0<a href=\"https:\/\/www.storagereview.com\/review\/supermicro-4u-amd-epyc-gpu-servers-offer-ai-flexibility-as-4125gs-tnrt\">Supermicro 4U AMD EPYC GPU Sunucusuna<\/a>\u00a0ta\u015f\u0131d\u0131k , GPU&#8217;yu GPU&#8217;ya ve gecikmeye kadar test etmeye bakt\u0131k.\u00a0\u00c7apraz b\u0131\u00e7ak ileti\u015fimi olmadan, yaln\u0131zca bu sunucudaki kartlar\u0131n performans profilini anlamaya \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z\u0131 anlamak \u00e7ok \u00f6nemlidir.\u00a0Bu 4U sunucu, destekleyebilece\u011fi kartlar a\u00e7\u0131s\u0131ndan esnek olsa da, Supermicro X13 SuperBlade Kasas\u0131n\u0131n sundu\u011fu ola\u011fan\u00fcst\u00fc \u015fekillendirilebilirli\u011fe sahip de\u011fil.\u00a0Elbette Supermicro her zamanki gibi s\u0131v\u0131 so\u011futmal\u0131 soketli GPU&#8217;lar da dahil olmak \u00fczere her uygulama i\u00e7in bir \u00e7\u00f6z\u00fcm sunuyor.<\/p>\n<p>\u00d6ncelikle tek platformdaki 4 GPU&#8217;nun e\u015fler aras\u0131 Bant Geni\u015fli\u011fine bakal\u0131m.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"_Yazma_Bant_Genisligi_GBs_%E2%80%93_Tek_Yonlu\"><\/span>\u00a0Yazma Bant Geni\u015fli\u011fi (GB\/s) \u2013 Tek Y\u00f6nl\u00fc<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<table class=\"ui very compact celled definition table\">\n<thead>\n<tr>\n<th>GPU<\/th>\n<th>GPU0<\/th>\n<th>GPU1<\/th>\n<th>GPU2<\/th>\n<th>GPU3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"\">GPU0<\/td>\n<td class=\"disabled\">0.00<\/td>\n<td class=\"\">54.29<\/td>\n<td class=\"\">39.50<\/td>\n<td class=\"\">40.51<\/td>\n<\/tr>\n<tr>\n<td class=\"\">GPU1<\/td>\n<td class=\"\">54.60<\/td>\n<td class=\"disabled\">0.00<\/td>\n<td class=\"\">40.55<\/td>\n<td class=\"\">40.22<\/td>\n<\/tr>\n<tr>\n<td class=\"\">GPU2<\/td>\n<td class=\"\">40.60<\/td>\n<td class=\"\">38.73<\/td>\n<td class=\"disabled\">0.00<\/td>\n<td class=\"\">54.03<\/td>\n<\/tr>\n<tr>\n<td class=\"\">GPU3<\/td>\n<td class=\"\">40.99<\/td>\n<td class=\"\">40.33<\/td>\n<td class=\"\">53.79<\/td>\n<td class=\"disabled\">0.00<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4><span class=\"ez-toc-section\" id=\"Okuma_Bant_Genisligi_GBs_%E2%80%93_Tek_Yonlu\"><\/span>Okuma Bant Geni\u015fli\u011fi (GB\/s) \u2013 Tek Y\u00f6nl\u00fc<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<table class=\"ui very compact celled definition table\">\n<thead>\n<tr>\n<th>GPU<\/th>\n<th>GPU0<\/th>\n<th>GPU1<\/th>\n<th>GPU2<\/th>\n<th>GPU3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"\">GPU0<\/td>\n<td class=\"disabled\">0.00<\/td>\n<td class=\"\">53.17<\/td>\n<td class=\"\">39.23<\/td>\n<td class=\"\">35.69<\/td>\n<\/tr>\n<tr>\n<td class=\"\">GPU1<\/td>\n<td class=\"\">53.70<\/td>\n<td class=\"disabled\">0.00<\/td>\n<td class=\"\">36.96<\/td>\n<td class=\"\">41.02<\/td>\n<\/tr>\n<tr>\n<td class=\"\">GPU2<\/td>\n<td class=\"\">36.28<\/td>\n<td class=\"\">39.88<\/td>\n<td class=\"disabled\">0.00<\/td>\n<td class=\"\">53.32<\/td>\n<\/tr>\n<tr>\n<td class=\"\">GPU3<\/td>\n<td class=\"\">40.40<\/td>\n<td class=\"\">37.08<\/td>\n<td class=\"\">53.68<\/td>\n<td class=\"disabled\">0.00<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Burada GPU0 ve GPU1 GPU&#8217;lar\u0131n\u0131n bir NUMA d\u00fc\u011f\u00fcm\u00fcnde, GPU2 ve GPU3&#8217;\u00fcn ise ba\u015fka bir NUMA D\u00fc\u011f\u00fcm\u00fcnde oldu\u011funu unutmamak \u00f6nemlidir.\u00a0NUMA d\u00fc\u011f\u00fcm\u00fcn\u00fc ge\u00e7menin performans \u00fczerindeki etkisini burada a\u00e7\u0131k\u00e7a g\u00f6rebilirsiniz.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Kopyalama_Motoru_CE_%E2%80%93_Yazma_Gecikmesi_bize\"><\/span>Kopyalama Motoru (CE) \u2013 Yazma Gecikmesi (bize)<span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Son olarak, GPU&#8217;dan GPU&#8217;ya olan gecikmeyi \u00f6l\u00e7\u00fcyoruz.<\/p>\n<table class=\"ui very compact celled definition table\">\n<thead>\n<tr>\n<th>GPU<\/th>\n<th>GPU0<\/th>\n<th>GPU1<\/th>\n<th>GPU2<\/th>\n<th>GPU3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td class=\"\">GPU0<\/td>\n<td class=\"disabled\">0.00<\/td>\n<td class=\"\">1.67<\/td>\n<td class=\"\">1.64<\/td>\n<td class=\"\">1.64<\/td>\n<\/tr>\n<tr>\n<td class=\"\">GPU1<\/td>\n<td class=\"\">1.57<\/td>\n<td class=\"disabled\">0.00<\/td>\n<td class=\"\">1.61<\/td>\n<td class=\"\">1.61<\/td>\n<\/tr>\n<tr>\n<td class=\"\">GPU2<\/td>\n<td class=\"\">1.66<\/td>\n<td class=\"\">1.69<\/td>\n<td class=\"disabled\">0.00<\/td>\n<td class=\"\">1.65<\/td>\n<\/tr>\n<tr>\n<td class=\"\">GPU3<\/td>\n<td class=\"\">1.65<\/td>\n<td class=\"\">1.66<\/td>\n<td class=\"\">1.61<\/td>\n<td class=\"disabled\">0.00<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Beklendi\u011fi gibi, t\u00fcm GPU&#8217;lar\u0131 tek bir platforma ta\u015f\u0131mak, Blade&#8217;in 200G IB ba\u011flant\u0131lar\u0131na k\u0131yasla bize 2 kat bant geni\u015fli\u011fi sa\u011fl\u0131yor.\u00a0Buradaki bant geni\u015fli\u011fi uygulama i\u00e7in dikkate al\u0131nmas\u0131 gereken bir husus olabilir, ancak mikrosaniye mertebesinde \u00e7al\u0131\u015fan gecikme say\u0131lar\u0131ndan bahsederken, hepsi tek bir kasadayken ortalama 1,6 us GPU&#8217;dan GPU&#8217;ya ge\u00e7i\u015fin rapor edilmesinde b\u00fcy\u00fck bir de\u011fi\u015fiklik yoktur. PCIe Veriyolunu ge\u00e7mek zorunda kald\u0131\u011f\u0131n\u0131zda b\u0131\u00e7aklarda 1,5us, IB anahtar\u0131 ve GPU&#8217;ya geri d\u00f6n\u00fc\u015f dikkat \u00e7ekicidir.\u00a0Ancak\u00a0hikayenin tamam\u0131 bu\u00a0<strong>de\u011fil\u00a0 .<\/strong><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Cozum\"><\/span>\u00c7\u00f6z\u00fcm<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Supermicro X13 SuperBlade, Emerald Rapids CPU&#8217;lar\u0131 ve NVIDIA H100 GPU&#8217;lar\u0131 ile blade&#8217;in hizmet edebilece\u011finin memnuniyetle kar\u015f\u0131lanan bir evrimidir.\u00a0Yetenekleri \u00e7e\u015fitli yo\u011fun hesaplamal\u0131 g\u00f6revlere uzan\u0131r ve bu da onu veri analiti\u011finden yapay zeka ve bulut bili\u015fime kadar \u00e7e\u015fitli end\u00fcstriler i\u00e7in \u00e7ok y\u00f6nl\u00fc ve sa\u011flam bir \u00e7\u00f6z\u00fcm haline getirir.\u00a0Y\u00fcksek performansl\u0131 bilgi i\u015flem talebi artmaya devam ederken X13, Supermicro&#8217;nun sunucu teknolojisinde yenilik\u00e7ili\u011fe ve m\u00fckemmelli\u011fe olan ba\u011fl\u0131l\u0131\u011f\u0131n\u0131 g\u00f6stererek bu zorluklar\u0131n \u00fcstesinden gelmeye haz\u0131rd\u0131r.<\/p>\n<p>Testlerden elde edilen her \u015fey dikkate al\u0131nd\u0131\u011f\u0131nda, b\u00fct\u00fcnsel bir bak\u0131\u015f a\u00e7\u0131s\u0131yla benzersiz ve son derece uyarlanabilir do\u011fas\u0131 sayesinde bu platformla \u00f6zellikle ilgileniyoruz.\u00a0Platformun uygulamas\u0131n\u0131 ba\u011flamsalla\u015ft\u0131rmak \u00f6nemlidir.<\/p>\n<p>T\u00fcm y\u00fcksek i\u015flem g\u00fcc\u00fcn\u00fcz i\u00e7in raf\u0131n\u0131zda Supermicro X13 Blade sisteminin bulundu\u011fu bir ara\u015ft\u0131rma departman\u0131ndaki bir senaryoyu hayal edin.\u00a0Platformda yerle\u015fik olarak bulunan merkezi y\u00f6netim altyap\u0131s\u0131n\u0131 yaln\u0131zca blade&#8217;leri ve platformu kontrol etmek i\u00e7in de\u011fil, ayn\u0131 zamanda di\u011fer ekipman par\u00e7alar\u0131n\u0131n kontrol\u00fc, a\u011f ileti\u015fimi ve y\u00f6netimi i\u00e7in bir merkez olarak da kullanabilirsiniz.\u00a0Veriye a\u00e7 GPU&#8217;lar\u0131 beslemek i\u00e7in SuperBlade&#8217;lere yeterince g\u00fc\u00e7l\u00fc bir depolama sunucusu yuvas\u0131 ba\u011flad\u0131\u011f\u0131n\u0131zda, t\u00fcm bitleri hat h\u0131z\u0131nda modellerinize alabilirsiniz.\u00a0Bu hayali senaryoda, t\u00fcm GPU&#8217;lar\u0131m\u0131z\u0131n g\u00fcn i\u00e7inde farkl\u0131 ara\u015ft\u0131rmac\u0131lar taraf\u0131ndan kullan\u0131lmas\u0131n\u0131 sa\u011flayabiliriz ve ard\u0131ndan zaman\u0131 geldi\u011finde t\u00fcm blade&#8217;leri InfiniBand \u00fczerinden ba\u011flay\u0131p birlikte \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flayabiliriz.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1540\" src=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-05-300x200.jpg\" alt=\"\" width=\"746\" height=\"497\" srcset=\"https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-05-300x200.jpg 300w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-05-1024x683.jpg 1024w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-05-768x512.jpg 768w, https:\/\/supermicrosunucu.com\/blog\/wp-content\/uploads\/2024\/02\/StorageReview-Supermicron-SuperBlade-X13-05.jpg 1500w\" sizes=\"(max-width: 746px) 100vw, 746px\" \/><\/p>\n<p>CPU ile GPU aras\u0131ndaki bire bir ili\u015fkinin bant geni\u015fli\u011fi testi, tam y\u00fckl\u00fc bir blade kasas\u0131 g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda, blade sistemiyle ek kart GPU&#8217;lar\u0131na sahip tek bir sunucudan daha iyi performans g\u00f6sterebilece\u011finizi de g\u00f6sterdi.\u00a0D\u00fczg\u00fcn tasarlanm\u0131\u015f da\u011f\u0131t\u0131lm\u0131\u015f bir e\u011fitim i\u015f ak\u0131\u015f\u0131yla, asl\u0131nda t\u00fcm GPU&#8217;lar\u0131n tek bir d\u00fc\u011f\u00fcmde olmas\u0131 kadar iyi veya bundan daha iyi bir performans g\u00f6rebilirsiniz, ancak art\u0131k \u00e7ift g\u00f6revi kolayca \u00fcstlenerek \u00f6n GPU maliyetini yar\u0131ya indiren bir platforma sahip oluyorsunuz .\u00a0En yeni CPU&#8217;lar\u0131n deste\u011fi sayesinde, uygulamaya konulduktan sonra HDR InfiniBand&#8217;dan NDR&#8217;ye ge\u00e7meyi sab\u0131rs\u0131zl\u0131kla bekliyoruz; \u00e7\u00fcnk\u00fc bu, SuperBlade&#8217;leri tek bir GPU sunucu platformunda alabilece\u011finiz performans\u0131n \u00e7ok \u00fcst\u00fcne ve \u00f6tesine ta\u015f\u0131yacakt\u0131r.<\/p>\n<p>Supermicro X13 SuperBlade kasas\u0131 ve GPU blade&#8217;leri, geli\u015fen veya d\u00fczenli olarak de\u011fi\u015fen yapay zeka ihtiya\u00e7lar\u0131 i\u00e7in son derece uyarlanabilir, sa\u011flam bir se\u00e7imdir.\u00a0Platformda ge\u00e7irdi\u011fimiz uzun s\u00fcre boyunca, DRAM, CPU ve GPU de\u011fi\u015fiklikleri veya yapay zeka d\u00fcnyas\u0131nda bilindi\u011fi \u015fekliyle &#8220;ba\u015fka bir g\u00fcn&#8221; ihtiyac\u0131yla kar\u015f\u0131la\u015ft\u0131k ve bunlar\u0131n t\u00fcm\u00fc platform taraf\u0131ndan kolayl\u0131kla kar\u015f\u0131land\u0131.\u00a0Genel olarak, platform sa\u011flamd\u0131r ve kendisinden istenecek \u00e7ok fazla \u015fey b\u0131rakmadan yapay zeka alan\u0131 i\u00e7in ilgi \u00e7ekici ve g\u00fc\u00e7l\u00fc bir cihaz olarak kar\u015f\u0131m\u0131za \u00e7\u0131kar.\u00a0Rakip sistemlerin fiyat noktalar\u0131 g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda, bir b\u0131\u00e7a\u011f\u0131n esnekli\u011finden yararlanabiliyorsan\u0131z, bu neredeyse rakipsizdir.<\/p>\n<p>Kaynak : <a href=\"http:\/\/StorageReview.com\">StorageReview.com<\/a><\/p>\n<p>Supermicro Super Blade \u00c7\u00f6z\u00fcmleriyle ilgili olarak <a href=\"https:\/\/gtmteknoloji.com\">Supermicro T\u00fcrkiye Katma De\u011ferli Resmi Distrib\u00fct\u00f6r\u00fc GTM Teknoloji<\/a> ile irtibat kurabilirsiniz.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Supermicro, blade sunucu teknolojisinde \u00f6nc\u00fc olmu\u015ftur ve SuperBlade sistemleri bunun bir kan\u0131t\u0131d\u0131r.\u00a0Supermicro X13 SuperBlade kasa ve blade&#8217;lerin piyasaya s\u00fcr\u00fclmesi, GPU<\/p>\n","protected":false},"author":2,"featured_media":1543,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[204,255,233,1,261],"tags":[384,157,385,230],"class_list":["post-1517","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blade-sunucu","category-gpu","category-gpu-server","category-sunucular","category-yapay-zeka","tag-blade","tag-supermicro","tag-supermicro-superblade","tag-yapay-zeka"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Supermicro X13 SuperBlade \u0130ncelemesi: Her \u015eeyi Yapabilen Yapay Zeka Cihaz\u0131 - SupermicroSunucu Blog<\/title>\n<meta name=\"description\" content=\"Supermicro, blade sunucu teknolojisinde \u00f6nc\u00fc olmu\u015ftur ve SuperBlade sistemleri bunun bir kan\u0131t\u0131d\u0131r. 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