{"id":1388,"date":"2023-10-30T14:15:01","date_gmt":"2023-10-30T11:15:01","guid":{"rendered":"https:\/\/supermicrosunucu.com\/blog\/?p=1388"},"modified":"2023-10-30T14:15:01","modified_gmt":"2023-10-30T11:15:01","slug":"kioxia-e1-s-ssdler","status":"publish","type":"post","link":"https:\/\/supermicrosunucu.com\/blog\/kioxia-e1-s-ssdler.html","title":{"rendered":"KIOXIA E1.S SSD&#8217;ler"},"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\/kioxia-e1-s-ssdler.html\/#KIOXIA_E1S_SSDler\" title=\"KIOXIA E1.S SSD&#8217;ler\">KIOXIA E1.S SSD&#8217;ler<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/supermicrosunucu.com\/blog\/kioxia-e1-s-ssdler.html\/#KIOXIA_E1S_SSDler_Yapay_Zeka_Is_Akislarini_Daha_Verimli_Hale_Getiriyor\" title=\"KIOXIA E1.S SSD&#8217;ler Yapay Zeka \u0130\u015f Ak\u0131\u015flar\u0131n\u0131 Daha Verimli Hale Getiriyor\">KIOXIA E1.S SSD&#8217;ler Yapay Zeka \u0130\u015f Ak\u0131\u015flar\u0131n\u0131 Daha Verimli Hale Getiriyor<\/a><\/li><\/ul><\/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\/kioxia-e1-s-ssdler.html\/#Yapay_Zeka_Is_Istasyonlarinin_Masa_Altinda_Olmasi_Gerekmiyor\" title=\"Yapay Zeka \u0130\u015f \u0130stasyonlar\u0131n\u0131n Masa Alt\u0131nda Olmas\u0131 Gerekmiyor\">Yapay Zeka \u0130\u015f \u0130stasyonlar\u0131n\u0131n Masa Alt\u0131nda Olmas\u0131 Gerekmiyor<\/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\/kioxia-e1-s-ssdler.html\/#KIOXIA_XD7P_Serisi_SSDlerle_Hizli_Yapay_Zeka_Depolama\" title=\"KIOXIA XD7P Serisi SSD&#8217;lerle H\u0131zl\u0131 Yapay Zeka Depolama\">KIOXIA XD7P Serisi SSD&#8217;lerle H\u0131zl\u0131 Yapay Zeka Depolama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/supermicrosunucu.com\/blog\/kioxia-e1-s-ssdler.html\/#KIOXIA_XD7P_Serisi_SSDlerle_Depolama_Sunucusu_Performansi\" title=\"KIOXIA XD7P Serisi SSD&#8217;lerle Depolama Sunucusu Performans\u0131\">KIOXIA XD7P Serisi SSD&#8217;lerle Depolama Sunucusu Performans\u0131<\/a><\/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\/kioxia-e1-s-ssdler.html\/#Yapay_Zeka_Is_Istasyonlarini_Besliyor_Bol_Yuksek_Hizli_Depolama\" title=\"Yapay Zeka \u0130\u015f \u0130stasyonlar\u0131n\u0131 Besliyor Bol Y\u00fcksek H\u0131zl\u0131 Depolama\">Yapay Zeka \u0130\u015f \u0130stasyonlar\u0131n\u0131 Besliyor Bol Y\u00fcksek H\u0131zl\u0131 Depolama<\/a><\/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\/kioxia-e1-s-ssdler.html\/#Uygulamada_GenAI_%E2%80%93_LLM_Egitim_Veri_Setleri\" title=\"Uygulamada GenAI \u2013 LLM E\u011fitim Veri Setleri\">Uygulamada GenAI \u2013 LLM E\u011fitim Veri Setleri<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/supermicrosunucu.com\/blog\/kioxia-e1-s-ssdler.html\/#Sunucu_Cikarim_Yetenekleri\" title=\"Sunucu \u00c7\u0131kar\u0131m Yetenekleri\">Sunucu \u00c7\u0131kar\u0131m Yetenekleri<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/supermicrosunucu.com\/blog\/kioxia-e1-s-ssdler.html\/#Son_dusunceler\" title=\"Son d\u00fc\u015f\u00fcnceler\">Son d\u00fc\u015f\u00fcnceler<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1 class=\"post-title single-post-title entry-title\"><span class=\"ez-toc-section\" id=\"KIOXIA_E1S_SSDler\"><\/span>KIOXIA E1.S SSD&#8217;ler<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<h3 class=\"post-title single-post-title entry-title\"><span class=\"ez-toc-section\" id=\"KIOXIA_E1S_SSDler_Yapay_Zeka_Is_Akislarini_Daha_Verimli_Hale_Getiriyor\"><\/span>KIOXIA E1.S SSD&#8217;ler Yapay Zeka \u0130\u015f Ak\u0131\u015flar\u0131n\u0131 Daha Verimli Hale Getiriyor<span class=\"ez-toc-section-end\"><\/span><\/h3>\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><span id=\"more-125696\">KIOXIA E1.S SSD&#8217;ler <\/span>Yapay zeka i\u00e7in yo\u011fun GPU sunucular\u0131 hakk\u0131nda \u00f6nemli miktarda abart\u0131l\u0131 reklam olsa da, ki hakl\u0131 olarak da \u00f6yle, ger\u00e7ek \u015fu ki \u00e7o\u011fu yapay zeka e\u011fitim projesi i\u015f istasyonlar\u0131nda ba\u015fl\u0131yor.\u00a0Art\u0131k tek bir i\u015f istasyonuna d\u00f6rt adede kadar NVIDIA A6000 Ada GPU&#8217;yu s\u0131k\u0131\u015ft\u0131rabilsek de, daha zorlu olan \u015fey bu AI kutular\u0131nda sa\u011flam depolama elde etmektir.\u00a0Bu konuyu d\u00fc\u015f\u00fcnd\u00fck ve birka\u00e7 yapay zeka i\u015f istasyonuna y\u00fcksek h\u0131zl\u0131 depolamay\u0131 en iyi \u015fekilde sa\u011flamak i\u00e7in bir plan haz\u0131rlad\u0131k.\u00a0\u00c7\u0131kar\u0131m hilesi i\u00e7eren inan\u0131lmaz derecede yetenekli bir 1U depolama sunucusu olu\u015fturmak amac\u0131yla bir sunucuyu 24 adet 7,68 TB XD7P Serisi Veri Merkezi NVMe SSD&#8217;lerle doldurmak i\u00e7in Supermicro ve KIOXIA ile birlikte \u00e7al\u0131\u015ft\u0131k.<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-126564\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-1.jpg\" sizes=\"(max-width: 1500px) 100vw, 1500px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-1.jpg 1500w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-1-300x266.jpg 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-1-1024x908.jpg 1024w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-1-768x681.jpg 768w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-1-1170x1037.jpg 1170w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-1-585x519.jpg 585w\" alt=\"\" width=\"1500\" height=\"1330\" \/><\/p>\n<p>Ne d\u00fc\u015f\u00fcnd\u00fc\u011f\u00fcn\u00fcz\u00fc biliyoruz: E1.S SSD&#8217;lerle doldurulmu\u015f bir sunucu platformu, yapay zeka modellerini e\u011fiten i\u015f istasyonlar\u0131 ve ayn\u0131 depolama sunucusunda \u00e7\u0131kar\u0131m yapma aras\u0131ndaki noktalar\u0131 nas\u0131l birle\u015ftirmeyi d\u00fc\u015f\u00fcn\u00fcyorsunuz?\u00a0A\u00e7\u0131klamak i\u00e7in biraz serbestlik tan\u0131y\u0131n.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Yapay_Zeka_Is_Istasyonlarinin_Masa_Altinda_Olmasi_Gerekmiyor\"><\/span>Yapay Zeka \u0130\u015f \u0130stasyonlar\u0131n\u0131n Masa Alt\u0131nda Olmas\u0131 Gerekmiyor<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>KIOXIA E1.S SSD&#8217;ler Birka\u00e7 istisna d\u0131\u015f\u0131nda, pahal\u0131 GPU&#8217;lara sahip y\u00fcksek g\u00fc\u00e7l\u00fc yapay zeka i\u015f istasyonlar\u0131 muhtemelen u\u00e7 noktalara veya muhtemelen bir ofis binas\u0131n\u0131n i\u00e7ine bile da\u011f\u0131t\u0131lmamal\u0131d\u0131r. Sorunlar \u00e7oktur. \u00d6ncelikle bu u\u00e7 noktalar y\u00fcksek g\u00fcvenlik tehditleri ve veri s\u0131z\u0131nt\u0131s\u0131 riskiyle kar\u015f\u0131 kar\u015f\u0131yad\u0131r ve daha da \u00f6nemlisi, yetersiz kullan\u0131mdan zarar g\u00f6r\u00fcrler. \u00c7o\u011fu yapay zeka uzman\u0131, yetersiz LAN yap\u0131land\u0131rmalar\u0131 nedeniyle modellerini e\u011fitmek i\u00e7in gereken b\u00fcy\u00fck miktarda veriye eri\u015femiyor.<\/p>\n<p>\u00d6te yandan, bu g\u00fc\u00e7l\u00fc i\u015f istasyonlar\u0131n\u0131 veri merkezine yerle\u015ftirirsek art\u0131k bir\u00e7ok fayda elde ederiz.\u00a0\u0130lk olarak, fiziksel g\u00fcvenlik \u00e7\u00f6z\u00fcl\u00fcr ve ince istemcilerle veya kablo \u00fczerinden veri yerine yaln\u0131zca pikselleri aktaran eri\u015fimle uzaktan eri\u015fim endi\u015feleri azalt\u0131labilir.\u00a0Bu senaryoda veriler i\u015f istasyonu yerine sunucuda bulunur.\u00a0\u0130kincisi, veri merkezindeki bu sistemlerin yedeklenmesi daha kolay olmasa da daha h\u0131zl\u0131d\u0131r.\u00a0\u00dc\u00e7\u00fcnc\u00fcs\u00fc, ak\u0131ll\u0131 provizyonla bu sistemleri da\u011f\u0131t\u0131lm\u0131\u015f bir yapay zeka i\u015f g\u00fcc\u00fcyle payla\u015farak \u015firket genelinde kullan\u0131m\u0131 art\u0131rabiliriz.\u00a0Son olarak, veri merkezinde olmak bize en de\u011ferli yapay zeka varl\u0131\u011f\u0131na, yani verilere eri\u015fim sa\u011flar.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-126567\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-2.jpg\" sizes=\"(max-width: 1500px) 100vw, 1500px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-2.jpg 1500w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-2-300x298.jpg 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-2-1024x1019.jpg 1024w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-2-150x150.jpg 150w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-2-768x764.jpg 768w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-2-1170x1164.jpg 1170w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-2-585x582.jpg 585w\" alt=\"\" width=\"1500\" height=\"1492\" \/><\/p>\n<p>Bu i\u015f i\u00e7in laboratuvar\u0131m\u0131zda bulunan \u00fc\u00e7 adet Lenovo i\u015f istasyonunu tedarik ettik.\u00a0Her biri biraz farkl\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015ft\u0131r, hem AMD hem de NVIDIA GPU&#8217;lardan yararlan\u0131r ve baz\u0131 modeller farkl\u0131 h\u0131zland\u0131r\u0131c\u0131larda daha iyi performans g\u00f6sterebilece\u011finden esneklik sa\u011flar.\u00a0Her sistemde y\u00fckl\u00fc bir NVIDIA ConnectX-6 100GbE kart\u0131 bulunur; bu, bu sistemlerin depolamaya h\u0131zl\u0131 eri\u015fime sahip olmas\u0131n\u0131 sa\u011flamak i\u00e7in temel \u00f6nem ta\u015f\u0131r.\u00a0Daha sonra her sistem, depolama hizmetinin de ba\u011fl\u0131 oldu\u011fu bir Dell Z9100 100GbE anahtar\u0131na ba\u011flan\u0131r.<\/p>\n<table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<colgroup>\n<col width=\"100\" \/>\n<col width=\"100\" \/>\n<col width=\"100\" \/>\n<col width=\"100\" \/><\/colgroup>\n<tbody>\n<tr>\n<td><strong>Par\u00e7a<\/strong><\/td>\n<td><strong>\u0130\u015f istasyonu 1<\/strong><\/td>\n<td><strong>\u0130\u015f \u0130stasyonu 2<\/strong><\/td>\n<td><strong>\u0130\u015f \u0130stasyonu 3<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>Modeli<\/strong><\/td>\n<td><a href=\"https:\/\/www.storagereview.com\/review\/lenovo-thinkstation-p620-amd-ryzen-threadripper-pro-5995wx\">Lenovo P620<\/a><\/td>\n<td><a href=\"https:\/\/www.storagereview.com\/review\/lenovo-thinkstation-p620-review\">Lenovo P620<\/a><\/td>\n<td><a href=\"https:\/\/www.storagereview.com\/review\/lenovo-thinkstation-p5-review\">Lenovo P5<\/a><\/td>\n<\/tr>\n<tr>\n<td><strong>\u0130\u015flemci<\/strong><\/td>\n<td>AMD Ryzen Threadripper PRO 5995WX<\/td>\n<td>AMD Ryzen Threadripper PRO 3995WX<\/td>\n<td>Intel Xeon w7-2495X<\/td>\n<\/tr>\n<tr>\n<td><strong>Haf\u0131za<\/strong><\/td>\n<td>128 GB DDR4 3200<\/td>\n<td>32 GB DDR4 3200<\/td>\n<td>32GB DDR5 4800Mhz<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU<\/strong><\/td>\n<td>AMD Radeon PRO W7900<\/td>\n<td>NVIDIA RTX A6000<\/td>\n<td>NVIDIA RTX A4500<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"KIOXIA_XD7P_Serisi_SSDlerle_Hizli_Yapay_Zeka_Depolama\"><\/span>KIOXIA XD7P Serisi SSD&#8217;lerle H\u0131zl\u0131 Yapay Zeka Depolama<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI i\u015f istasyonu test ortam\u0131 s\u0131raland\u0131ktan sonra depolama sunucusuna d\u00f6n\u00fcyoruz. <a href=\"https:\/\/www.storagereview.com\/review\/supermicro-storage-superserver-ssg-121e-nes24r-review-24x-e1-s\">Bu durumda Supermicro Storage SuperServer SSG-121E-NES24R<\/a>\u00a0kullan\u0131yoruz\u00a0.\u00a0Bu 1U sunucu, 2,00 GHz temel frekans\u0131na sahip 28 \u00e7ekirdekli ve 56 i\u015f par\u00e7ac\u0131kl\u0131 \u00e7ift Intel Xeon Platinum 8450H i\u015flemciye sahiptir.\u00a08450H i\u015flemciler, 75 MB \u00f6nbelle\u011fe ve 250 W TDP&#8217;ye sahipken maksimum 3,50 GHz turbo frekans\u0131na ula\u015fabiliyor.\u00a0512GB DDR5 RAM nispeten m\u00fctevaz\u0131 bir RAM alan\u0131d\u0131r.\u00a0Sunucu, ba\u011flant\u0131 i\u00e7in i\u015f istasyonlar\u0131yla ayn\u0131 NVIDIA ConnectX-6 100GbE NIC&#8217;yi kullan\u0131r.\u00a0Ayr\u0131ca \u00e7\u0131kar\u0131m yapmak i\u00e7in bir NVIDIA A2 GPU kurduk.<\/p>\n<p><img decoding=\"async\" class=\"aligncenter size-full wp-image-126569\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-7.jpg\" sizes=\"(max-width: 1500px) 100vw, 1500px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-7.jpg 1500w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-7-300x125.jpg 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-7-1024x427.jpg 1024w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-7-768x321.jpg 768w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-7-1170x488.jpg 1170w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-7-585x244.jpg 585w\" alt=\"\" width=\"1500\" height=\"626\" \/><\/p>\n<p>Depolamaya gelince, KIOXIA bize 24 adet XD7P Serisi Veri Merkezi NVMe SSD&#8217;leri g\u00f6nderdi.\u00a0KIOXIA XD7P Serisi E1.S SSD&#8217;ler, \u00f6zellikle A\u00e7\u0131k Hesaplama Projesi (OCP) Veri Merkezi NVMe SSD Spesifikasyonunda belirtilen performans, g\u00fc\u00e7 verimlili\u011fi ve termal gereksinimlerle ilgili olarak modern veri merkezlerinde bulunan hiper \u00f6l\u00e7ekli uygulamalar\u0131n ihtiya\u00e7lar\u0131n\u0131 kar\u015f\u0131lamak \u00fczere \u00f6zel olarak tasarlanm\u0131\u015ft\u0131r.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-126570\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-6.jpg\" sizes=\"(max-width: 1500px) 100vw, 1500px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-6.jpg 1500w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-6-300x202.jpg 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-6-1024x690.jpg 1024w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-6-768x518.jpg 768w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-6-1170x789.jpg 1170w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-6-585x394.jpg 585w\" alt=\"\" width=\"1500\" height=\"1011\" \/><\/p>\n<p>Bu SSD&#8217;ler, 9,5 mm ve 15 mm kal\u0131nl\u0131\u011f\u0131ndaki E1.S \u00e7e\u015fitleriyle mevcuttur; ikincisi, \u0131s\u0131 da\u011f\u0131t\u0131m\u0131n\u0131 art\u0131rmak i\u00e7in bir so\u011futucuya sahiptir.\u00a0KIOXIA&#8217;n\u0131n XD7P&#8217;nin denetleyici, donan\u0131m yaz\u0131l\u0131m\u0131 ve 5. nesil BiCS FLASH\u2122&#8217;den olu\u015fan tescilli mimarisi,\u00a0<sup>genel<\/sup>\u00a0verimlili\u011fe, g\u00fcvenilirli\u011fe ve performansa katk\u0131da bulunur.\u00a0Yeni seri, de\u011fi\u015fen depolama taleplerini kar\u015f\u0131lamak i\u00e7in 1,92 TB ile 7,68 TB aras\u0131nda de\u011fi\u015fen kapasitelerde sunuluyor.<\/p>\n<p>KIOXIA E1.S SSD&#8217;ler Baz\u0131 temel \u00f6zellikler aras\u0131nda, beklenmeyen g\u00fc\u00e7 kayb\u0131 i\u00e7eren senaryolarda veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc korumak i\u00e7in kritik olan g\u00fc\u00e7 kayb\u0131 korumas\u0131 (PLP) ve u\u00e7tan uca veri koruma yer al\u0131r. Ayr\u0131ca, kendi kendini \u015fifreleyen s\u00fcr\u00fcc\u00fc (SED) teknolojisinin varl\u0131\u011f\u0131 ekstra bir veri g\u00fcvenli\u011fi katman\u0131 ekler.<\/p>\n<p>Performans a\u00e7\u0131s\u0131ndan, KIOXIA XD7P Serisi SSD&#8217;ler farkl\u0131 kapasitelerde etkileyici potansiyel say\u0131lar sunar.\u00a0Daha b\u00fcy\u00fck kapasiteler i\u00e7in 7.200 MB\/s&#8217;ye kadar s\u00fcrekli s\u0131ral\u0131 okuma h\u0131zlar\u0131 ve 4.800 MB\/s&#8217;ye kadar s\u0131ral\u0131 yazma h\u0131zlar\u0131 ile bu SSD&#8217;ler, veri yo\u011funluklu g\u00f6revleri verimli bir \u015fekilde yerine getirmek \u00fczere tasarlanm\u0131\u015ft\u0131r.\u00a0Ek olarak, s\u0131ras\u0131yla 1.650K IOPS ve 200K IOPS&#8217;ye kadar s\u00fcrd\u00fcr\u00fclebilir rastgele okuma ve yazma h\u0131zlar\u0131, onlar\u0131 y\u00fcksek I\/O i\u015flemleri gerektiren i\u015f y\u00fckleri i\u00e7in uygun hale getirir.<\/p>\n<p>XD7P, performans ve yo\u011funluk aras\u0131nda benzersiz bir denge kurmak i\u00e7in E1.S form fakt\u00f6r\u00fcnden yararlan\u0131r.\u00a0Bu, yeni s\u00fcr\u00fcc\u00fcleri bulutta ve hiper \u00f6l\u00e7ekli veri merkezlerinde flash depolama i\u00e7in ileriye d\u00f6n\u00fck bir \u00e7\u00f6z\u00fcm olarak konumland\u0131r\u0131yor ve bu zorlu ortamlar\u0131n geli\u015fen gereksinimlerine hitap ediyor.\u00a0XD7P&#8217;nin standartla\u015ft\u0131r\u0131lm\u0131\u015f boyutu ve yerle\u015fik so\u011futucular\u0131, 1U SuperServer SSG-121E-NES24R&#8217;de \u00f6ne monte edilen 24 s\u00fcr\u00fcc\u00fcm\u00fcz\u00fc bar\u0131nd\u0131rmak i\u00e7in etkili bir yol sa\u011flayarak sunucu yo\u011funlu\u011funu \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131r\u0131r.\u00a0Ayr\u0131ca, E1.S&#8217;nin \u00e7al\u0131\u015f\u0131rken de\u011fi\u015ftirilebilme \u00f6zelli\u011fi, y\u00fcksek performansl\u0131 i\u015f y\u00fcklerini termal kayg\u0131lar olmaks\u0131z\u0131n kald\u0131rabilme yetene\u011fi ile birle\u015fti\u011finde, onu veri merkezleri gibi depolama \u00e7\u00f6z\u00fcmleri i\u00e7in geli\u015ftirilmi\u015f verimlilik ve performansla veri merkezlerindeki M.2 konekt\u00f6r\u00fcn\u00fcn pratik bir alternatifi olarak konumland\u0131r\u0131yor. .<\/p>\n<p>XD7P, PCIe Gen4 x4 hatlar\u0131n\u0131 destekler.\u00a0S\u00fcr\u00fcc\u00fc, Gen4 veya Gen5 arka panelleriyle iyi \u00e7al\u0131\u015f\u0131r.<\/p>\n<p><strong>KIOXIA XD7P Serisi H\u0131zl\u0131 \u00d6zellikler<\/strong><\/p>\n<table>\n<tbody>\n<tr>\n<td>Kapasite<\/td>\n<td>7.680 GB<\/td>\n<td>3.840 GB<\/td>\n<td>1.920 GB<\/td>\n<td>7.680 GB<\/td>\n<td>3.840 GB<\/td>\n<td>1.920 GB<\/td>\n<\/tr>\n<tr>\n<td colspan=\"7\"><strong>Temel \u00d6zellikler<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Form fakt\u00f6r\u00fc<\/td>\n<td colspan=\"3\">E1.S 15mm<\/td>\n<td colspan=\"3\">E1.S 9,5 mm<\/td>\n<\/tr>\n<tr>\n<td>Aray\u00fcz<\/td>\n<td colspan=\"6\">PCIe 5.0, NVMe 2.0<\/td>\n<\/tr>\n<tr>\n<td>Fla\u015f Bellek T\u00fcr\u00fc<\/td>\n<td colspan=\"6\">BiCS FLASH TLC<\/td>\n<\/tr>\n<tr>\n<td colspan=\"7\"><strong>Performans (En fazla)<\/strong><\/td>\n<\/tr>\n<tr>\n<td>S\u00fcrekli 128 KiB S\u0131ral\u0131 Okuma<\/td>\n<td colspan=\"6\">7.200 MB\/sn<\/td>\n<\/tr>\n<tr>\n<td>S\u00fcrekli 128 KiB S\u0131ral\u0131 Yazma<\/td>\n<td colspan=\"2\">4.800 MB\/sn<\/td>\n<td>3.100 MB\/sn<\/td>\n<td colspan=\"2\">4.800 MB\/sn<\/td>\n<td>3.100 MB\/sn<\/td>\n<\/tr>\n<tr>\n<td>S\u00fcrekli 4 KiB Rastgele Okuma<\/td>\n<td>1.550.000 IOPS<\/td>\n<td>1.650.000 IOPS<\/td>\n<td>1.500.000 IOPS<\/td>\n<td>1.550.000 IOPS<\/td>\n<td>1.650.000 IOPS<\/td>\n<td>1.500.000 IOPS<\/td>\n<\/tr>\n<tr>\n<td>S\u00fcrekli 4 KiB Rastgele Yazma<\/td>\n<td>200K IOPS<\/td>\n<td>180K IOPS<\/td>\n<td>95.000 IOPS<\/td>\n<td>200K IOPS<\/td>\n<td>180K IOPS<\/td>\n<td>95.000 IOPS<\/td>\n<\/tr>\n<tr>\n<td colspan=\"7\"><strong>G\u00fc\u00e7 Gereksinimleri<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Besleme gerilimi<\/td>\n<td colspan=\"6\">12 V \u00b1 %10<\/td>\n<\/tr>\n<tr>\n<td>G\u00fc\u00e7 T\u00fcketimi (Aktif)<\/td>\n<td>20 W tip.<\/td>\n<td>20 W tip.<\/td>\n<td>16W tip.<\/td>\n<td>20 W tip.<\/td>\n<td>20 W tip.<\/td>\n<td>16W tip.<\/td>\n<\/tr>\n<tr>\n<td>G\u00fc\u00e7 T\u00fcketimi (Haz\u0131r)<\/td>\n<td colspan=\"6\">5 W tip.<\/td>\n<\/tr>\n<tr>\n<td colspan=\"7\"><strong>G\u00fcvenilirlik<\/strong><\/td>\n<\/tr>\n<tr>\n<td>MTTF<\/td>\n<td colspan=\"6\">2.000.000 saat<\/td>\n<\/tr>\n<tr>\n<td>DWPD<\/td>\n<td colspan=\"6\">1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"KIOXIA_XD7P_Serisi_SSDlerle_Depolama_Sunucusu_Performansi\"><\/span>KIOXIA XD7P Serisi SSD&#8217;lerle Depolama Sunucusu Performans\u0131<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>KIOXIA E1.S SSD&#8217;ler Bu kombinasyonun ne kadar iyi performans g\u00f6sterebilece\u011fini daha iyi anlamak i\u00e7in, dahili performans testleriyle depolama sunucusunu sarsarak ba\u015flad\u0131k. Depolama sunucusunun performans\u0131na bakarken, depolaman\u0131n neler yapabilece\u011fini karakterize etmek i\u00e7in Ubuntu Linux&#8217;taki JBOD yap\u0131land\u0131rmas\u0131ndaki tam ham performansa odakland\u0131k.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-126572\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-5.jpg\" sizes=\"(max-width: 1500px) 100vw, 1500px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-5.jpg 1500w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-5-300x200.jpg 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-5-1024x683.jpg 1024w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-5-768x512.jpg 768w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-5-1170x780.jpg 1170w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-5-585x390.jpg 585w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-5-263x175.jpg 263w\" alt=\"\" width=\"1500\" height=\"1000\" \/><\/p>\n<p>4K rastgele i\u015f y\u00fck\u00fcyle en y\u00fcksek verimi ve ard\u0131ndan 64K s\u0131ral\u0131 i\u015f y\u00fck\u00fcyle en y\u00fcksek bant geni\u015fli\u011fini inceledik.\u00a0Bu testler, bir Ubuntu 22.04 ortam\u0131nda VDbench&#8217;ten yararlan\u0131larak ger\u00e7ekle\u015ftirildi.<\/p>\n<table>\n<tbody>\n<tr>\n<th>\u0130\u015f yo\u011funlu\u011fu<\/th>\n<th>Okumak<\/th>\n<th>Yazmak<\/th>\n<\/tr>\n<tr>\n<td>64K S\u0131ral\u0131, 64 \u0130plik Y\u00fck\u00fc<\/td>\n<td>158 GB\/sn<\/td>\n<td>64,1 GB\/sn<\/td>\n<\/tr>\n<tr>\n<td>4K Rastgele, 512 Konu Y\u00fck\u00fc<\/td>\n<td>4,09M IOPS, 16 GB\/sn<\/td>\n<td>4,5M IOPS, 17,7 GB\/sn<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Deney kurulumumuzda, y\u00fcksek h\u0131zl\u0131 KIOXIA s\u00fcr\u00fcc\u00fclerinden yararlanmak i\u00e7in Windows Depolama Alanlar\u0131n\u0131 SMB3 protokol\u00fcyle birlikte kullanmaya karar verdik.\u00a0Dayan\u0131kl\u0131, yans\u0131t\u0131lm\u0131\u015f bir depolama havuzu olu\u015fturmak i\u00e7in Depolama Alanlar\u0131ndan yararlanarak veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc sa\u011flamay\u0131 ve G\/\u00c7 performans\u0131n\u0131 optimize etmeyi ba\u015fard\u0131k.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-126571\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-8.jpg\" sizes=\"(max-width: 1500px) 100vw, 1500px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-8.jpg 1500w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-8-300x200.jpg 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-8-1024x683.jpg 1024w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-8-768x512.jpg 768w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-8-1170x780.jpg 1170w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-8-585x390.jpg 585w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-Kioxia-AI-8-263x175.jpg 263w\" alt=\"\" width=\"1500\" height=\"1000\" \/><\/p>\n<p>SMB3&#8217;\u00fcn \u00e7ok kanall\u0131 yetenekler ve kal\u0131c\u0131 i\u015flemeler gibi geli\u015fmi\u015f \u00f6zellikleri, genellikle daha yava\u015f, CPU&#8217;ya ba\u011fl\u0131 bellekle ili\u015fkilendirilen geleneksel darbo\u011fazlar\u0131 atlayarak, b\u00fcy\u00fck veri y\u0131\u011f\u0131nlar\u0131n\u0131n y\u00fcksek verimle birden fazla GPU i\u015f istasyonuna do\u011frudan aktar\u0131lmas\u0131na olanak tan\u0131r.\u00a0Bu kurulum, birden fazla i\u015f istasyonunun KIOXIA destekli payla\u015f\u0131ml\u0131 depolama alan\u0131m\u0131za ayn\u0131 anda eri\u015fmesine ve buradan veri y\u00fcklemesine izin verirken h\u0131zl\u0131 veri al\u0131m\u0131n\u0131 sa\u011flama gibi ikili bir avantaja sahipti.<\/p>\n<p><strong><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-126091\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-Pool.png\" sizes=\"(max-width: 1628px) 100vw, 1628px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-Pool.png 1628w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-Pool-300x171.png 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-Pool-1024x584.png 1024w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-Pool-768x438.png 768w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-Pool-1536x876.png 1536w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-Pool-1170x667.png 1170w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-Pool-585x333.png 585w\" alt=\"\" width=\"1628\" height=\"928\" \/><\/strong><\/p>\n<p>\u00d6nceki testlerimizde KIOXIA XD7P Serisi SSD&#8217;lerin dosya sistemi olmadan ham performans\u0131 \u00f6l\u00e7\u00fcl\u00fcrken, Windows Server 2022 ortam\u0131ndaki performansa ikinci kez bakt\u0131k.\u00a0Bu kurulumda, b\u00fcy\u00fck depolama havuzumuzdaki yans\u0131t\u0131lm\u0131\u015f sanal diskle NTFS dosya sistemini kulland\u0131k.<\/p>\n<p>Yans\u0131t\u0131lm\u0131\u015f birimimizin g\u00fc\u00e7l\u00fc performans\u0131n\u0131 do\u011frulamak i\u00e7in sunucuda yerel olarak CrystalDiskMark&#8217;tan yararland\u0131k.\u00a0Bu test, 1 MB aktar\u0131m boyutunun yan\u0131 s\u0131ra rastgele 4K aktar\u0131m h\u0131zlar\u0131yla s\u0131ral\u0131 okuma ve yazma performans\u0131n\u0131 \u00f6l\u00e7mek i\u00e7in ayarland\u0131.\u00a0Burada 64 GB dosya alan\u0131yla 87,4 GB\/s okuma ve 18,4 GB\/s yazma h\u0131z\u0131n\u0131 \u00f6l\u00e7t\u00fck.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-126086\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-CDM.png\" sizes=\"(max-width: 682px) 100vw, 682px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-CDM.png 682w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-CDM-300x156.png 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-CDM-585x305.png 585w\" alt=\"\" width=\"682\" height=\"355\" \/><\/p>\n<p>Bu yaz\u0131da t\u00fcm yapay zeka \u00e7\u00f6z\u00fcm\u00fcn\u00fcn genel yeteneklerine bak\u0131yoruz; bu t\u00fcr bir performans profiline sahip olmak etkileyici olsa da KIOXIA a\u00e7\u0131k\u00e7a bize ihtiyac\u0131m\u0131z olandan fazlas\u0131n\u0131 veriyor.\u00a0Bu iyi bir \u015fey \u00e7\u00fcnk\u00fc bu, yapay zeka i\u015f istasyonlar\u0131n\u0131n say\u0131s\u0131n\u0131 kolayca art\u0131rabilece\u011fimiz veya verilerimizi temizleme ve temizleme veya tamamen ba\u015fka bir \u015fey olsun, depolama sunucusuna ek g\u00f6revler atayabilece\u011fimiz anlam\u0131na geliyor.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Yapay_Zeka_Is_Istasyonlarini_Besliyor_Bol_Yuksek_Hizli_Depolama\"><\/span>Yapay Zeka \u0130\u015f \u0130stasyonlar\u0131n\u0131 Besliyor Bol Y\u00fcksek H\u0131zl\u0131 Depolama<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Laboratuvar raf\u0131nda bulunan GPU i\u015f istasyonlar\u0131m\u0131z, KIOXIA tabanl\u0131 tamamen flash 1U dosya sunucumuza 100GbE ile a\u011f ba\u011flant\u0131s\u0131 yap\u0131lm\u0131\u015f ve payla\u015f\u0131mlar kurulmu\u015fken, bunu pratikte test etmek i\u00e7in yola \u00e7\u0131kt\u0131k.\u00a0Test kurulumumuzda, her i\u015f istasyonundan Dell Z9100 100GbE anahtar\u0131m\u0131za temel tek bir 100GbE ba\u011flant\u0131s\u0131n\u0131 tercih ettik ve bu anahtar daha sonra ba\u015fka bir 100GbE ba\u011flant\u0131yla depolama sunucusuna geri ba\u011fland\u0131.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-126092\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-NIC.png\" sizes=\"(max-width: 359px) 100vw, 359px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-NIC.png 359w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Server-NIC-240x300.png 240w\" alt=\"\" width=\"359\" height=\"448\" \/><\/p>\n<p>Burada, KIOXIA depolama sunucumuzdaki Windows dosya payla\u015f\u0131m\u0131ndan etkileyici bir 11,4 GB\/s okuma ve 11 GB\/s yazma h\u0131z\u0131 \u00f6l\u00e7ebildik.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-126085\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Client-CDM.png\" sizes=\"(max-width: 682px) 100vw, 682px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Client-CDM.png 682w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Client-CDM-300x155.png 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/StorageReview-KIOXIA-E1S-Client-CDM-585x302.png 585w\" alt=\"\" width=\"682\" height=\"352\" \/><\/p>\n<p>Yapay zeka i\u015f istasyonlar\u0131na giden bu seviyedeki performans ve yo\u011funluk, muazzam bir de\u011fer sa\u011flayacakt\u0131r.\u00a0Yapay zeka i\u015f istasyonlar\u0131n\u0131 yerel depolamayla doldurmaya \u00e7al\u0131\u015fmak yerine, kapasite a\u00e7\u0131s\u0131ndan neredeyse s\u0131n\u0131rs\u0131z olan 100GbE \u00fczerinden daha da y\u00fcksek performansl\u0131 depolamay\u0131 payla\u015fabiliriz.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Uygulamada_GenAI_%E2%80%93_LLM_Egitim_Veri_Setleri\"><\/span>Uygulamada GenAI \u2013 LLM E\u011fitim Veri Setleri<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>B\u00fcy\u00fck Dil Modelleri (LLM&#8217;ler) bug\u00fcnlerde BT blo\u011fundaki en pop\u00fcler \u00e7ocuklard\u0131r.\u00a0Bunlar\u0131 e\u011fitmek ve ince ayar yapmak, muazzam veri k\u00fcmeleri ve bunlar\u0131 i\u015flemek i\u00e7in daha da b\u00fcy\u00fck GPU beygir g\u00fcc\u00fc gerektiren devasa bir giri\u015fimdir.\u00a0Baz\u0131 GPU i\u015f istasyonlar\u0131n\u0131 y\u00fcklemek ve baz\u0131 ger\u00e7ek d\u00fcnya tarz\u0131 testleri yapmak i\u00e7in, 2012&#8217;den 2021&#8217;e kadar t\u00fcm metin Reddit g\u00f6nderimlerinin ve yorumlar\u0131n\u0131n bir d\u00f6k\u00fcm\u00fcn\u00fc, baz\u0131 ayarlamalarla birlikte, Stanford Alpaca e\u011fitim veri setini birden fazla ince ayar i\u00e7in\u00a0<a title=\"Yeni bir pencerede a\u00e7\u0131l\u0131r\" href=\"https:\/\/github.com\/tatsu-lab\/stanford_alpaca\" target=\"_blank\" rel=\"noopener\">LLaMa<\/a>\u00a0modeline\u00a0<a href=\"https:\/\/www.storagereview.com\/review\/meta-llama-and-alpacas-loose-in-the-lab-running-large-language-models-locally\">ald\u0131k<\/a>\u00a0.\u00a0denemeler.\u00a0Ama\u00e7, b\u00fcy\u00fck \u00f6l\u00e7ekli ger\u00e7ek d\u00fcnya veri k\u00fcmelerine tabi tutuldu\u011funda LLaMa modelinin verimlili\u011fini, do\u011frulu\u011funu ve uygulanabilirli\u011fini de\u011ferlendirmekti.<\/p>\n<p>Windows Server 2022 platformundan 24 KIOXIA XD7P Serisi SSD, 168 TB&#8217;l\u0131k bir havuzda ve ard\u0131ndan 83,7 TB&#8217;l\u0131k yans\u0131t\u0131lm\u0131\u015f birimde grupland\u0131.\u00a0Bu birim daha sonra 100GbE a\u011f\u0131 \u00fczerinden, yararlan\u0131lacak \u00fc\u00e7 i\u015f istasyonunun her birine bir dosya payla\u015f\u0131m\u0131yla payla\u015ft\u0131r\u0131ld\u0131.\u00a0Kullan\u0131lan Supermicro Superserver depolama sunucusu, performans\u0131 etkilemeden 84 TB&#8217;l\u0131k hacmin tamam\u0131n\u0131 dolduran veri boyutunu i\u015fleyebilir.\u00a0Kullan\u0131lan mevcut veri boyutu 5,6 TB&#8217;t\u0131r, ancak birim \u00e7ok daha b\u00fcy\u00fck bir boyutu i\u015fleyebilir.<\/p>\n<p>Her GPU i\u015f istasyonu, \u00e7e\u015fitlilik i\u00e7eren bir ortam sa\u011flamak amac\u0131yla biraz farkl\u0131 yap\u0131land\u0131r\u0131ld\u0131.\u00a0Her makineye, ortak bir veri seti \u00fczerinde farkl\u0131 modellerle \u00e7al\u0131\u015fan bireysel bir geli\u015ftirici gibi davrand\u0131k ve herhangi bir e\u011fitim da\u011f\u0131tmad\u0131k.\u00a0Bu ba\u011flamda Windows&#8217;un se\u00e7imi, erken bir ara\u015ft\u0131rma veya geli\u015ftirme senaryosunu taklit etmekti.<\/p>\n<p>Ele ald\u0131\u011f\u0131m\u0131z veri \u00f6l\u00e7e\u011fine ili\u015fkin ba\u011flam a\u00e7\u0131s\u0131ndan, bu teste y\u00f6nelik veri k\u00fcmelerimiz, 3,7 TB disk alan\u0131 t\u00fcketen LLM e\u011fitim verileri i\u00e7in 16.372 dosyadan ve 1,9 TB yer kaplayan g\u00f6r\u00fcnt\u00fc e\u011fitim verileri i\u00e7in ba\u015fka 8.501 dosyadan olu\u015fuyordu.\u00a0Toplamda 5,6 TB b\u00fcy\u00fckl\u00fc\u011f\u00fcnde 24.873 dosyayla \u00e7al\u0131\u015ft\u0131k.\u00a0Veri setlerimizin boyutunu kas\u0131tl\u0131 olarak k\u0131s\u0131tlad\u0131\u011f\u0131m\u0131z\u0131 ve bu deneyler i\u00e7in depolama kapasitesinin tamam\u0131n\u0131 kullanmad\u0131\u011f\u0131m\u0131z\u0131 unutmamak \u00f6nemlidir;\u00a0aksi takdirde e\u011fitim veya ince ayar s\u00fcreci bu proje i\u00e7in zaman k\u0131s\u0131tlay\u0131c\u0131 olurdu.\u00a0Bu yap\u0131land\u0131rmayla t\u00fcm i\u015f istasyonlar\u0131 veri k\u00fcmelerini payla\u015fabildi ve i\u015fbirli\u011fi i\u00e7in kontrol noktalar\u0131n\u0131 ve par\u00e7alar\u0131 sunucuya kaydedebildi.<\/p>\n<table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<colgroup>\n<col width=\"127\" \/>\n<col width=\"100\" \/>\n<col width=\"100\" \/><\/colgroup>\n<tbody>\n<tr>\n<td><\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Files&quot;}\">Dosyalar<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Size on Disk&quot;}\">Diskteki boyut<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;LLM Training Data&quot;}\">Y\u00fcksek Lisans E\u011fitim Verileri<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:3,&quot;3&quot;:16372}\" data-sheets-numberformat=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;#,##0&quot;,&quot;3&quot;:1}\">16.372<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;3.7TB&quot;}\">3,7 TB<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Image Training Data&quot;}\">G\u00f6r\u00fcnt\u00fc E\u011fitim Verileri<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:3,&quot;3&quot;:8501}\" data-sheets-numberformat=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;#,##0&quot;,&quot;3&quot;:1}\">8.501<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;1.9TB&quot;}\">1,9 TB<\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Total&quot;}\">Toplam<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:3,&quot;3&quot;:24873}\" data-sheets-numberformat=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;#,##0&quot;,&quot;3&quot;:1}\">24.873<\/td>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;5.6TB&quot;}\">5,6 TB<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"https:\/\/www.storagereview.com\/review\/the-storage-review-bare-bones-ai-setup-guide\">Her iki deneyimizin yaz\u0131l\u0131m y\u0131\u011f\u0131n\u0131 basit bir konfig\u00fcrasyondu ve Anaconda&#8217;n\u0131n<\/a>\u00a0ve Linux i\u00e7in Windows Alt Sisteminin (WSL) g\u00fcc\u00fcne g\u00fcvendik\u00a0.\u00a0Anaconda, Python tabanl\u0131 makine \u00f6\u011frenimi kitapl\u0131klar\u0131m\u0131z\u0131 ve ba\u011f\u0131ml\u0131l\u0131klar\u0131m\u0131z\u0131 y\u00f6netmek i\u00e7in sa\u011flam bir ortam sa\u011flayarak GPU i\u015f istasyonlar\u0131m\u0131zda mod\u00fcler ve kolayca kopyalanabilir bir kuruluma olanak tan\u0131r.\u00a0WSL, Windows ve Linux tabanl\u0131 yard\u0131mc\u0131 programlar aras\u0131ndaki bo\u015flu\u011fu doldurmaya yard\u0131mc\u0131 olarak, Linux&#8217;a \u00f6zg\u00fc veri i\u015fleme ve d\u00fczenleme ara\u00e7lar\u0131n\u0131 Windows i\u015f istasyonlar\u0131m\u0131zda sorunsuz bir \u015fekilde \u00e7al\u0131\u015ft\u0131rma esnekli\u011fi sunar.\u00a0Veri \u00f6n i\u015fleme i\u00e7in kabuk komut dosyalar\u0131n\u0131 \u00e7al\u0131\u015ft\u0131rabilir ve Python tabanl\u0131 e\u011fitim i\u015flerini birle\u015fik bir i\u015f ak\u0131\u015f\u0131 i\u00e7inde ba\u015flatabiliriz.\u00a0Bu rotay\u0131 se\u00e7memizin nedenlerinden biri yaln\u0131zca yap\u0131land\u0131rma kolayl\u0131\u011f\u0131 de\u011fil, ayn\u0131 zamanda karma GPU ortam\u0131m\u0131zla oyun alan\u0131n\u0131 e\u015fitlemekti.<\/p>\n<p>E\u011fitim s\u00fcrecinde birka\u00e7 \u00f6nemli g\u00f6zlem yap\u0131ld\u0131:<\/p>\n<ol>\n<li>Veri \u00c7e\u015fitlili\u011fi: Neredeyse on y\u0131la yay\u0131lan Reddit g\u00f6nderimleri ve yorumlar\u0131n\u0131n birle\u015ftirilmesi, modele konular\u0131n, s\u00f6zl\u00fcklerin ve konu\u015fma ba\u011flamlar\u0131n\u0131n eklektik bir kar\u0131\u015f\u0131m\u0131n\u0131 sundu.\u00a0Bu zengin \u00e7e\u015fitlilik, modelin zaman i\u00e7inde \u00e7e\u015fitli n\u00fcanslar\u0131, duygular\u0131 ve k\u00fclt\u00fcrel de\u011fi\u015fimleri anlamas\u0131 ve bunlara uyum sa\u011flamas\u0131 i\u00e7in kapsaml\u0131 bir platform sa\u011flad\u0131.<\/li>\n<li>Model \u00d6l\u00e7eklenebilirli\u011fi: Bu kadar b\u00fcy\u00fck miktarda verinin i\u015flenmesi, LLaMa modelinin \u00f6l\u00e7eklenebilirli\u011fi a\u00e7\u0131s\u0131ndan bir turnusol testiydi.\u00a0E\u011fitim d\u00f6nemleri artt\u0131k\u00e7a modelin ilgili yan\u0131tlar\u0131 tahmin etme ve olu\u015fturma yetene\u011finin \u00f6nemli \u00f6l\u00e7\u00fcde artt\u0131\u011f\u0131n\u0131 ve bu durumun b\u00fcy\u00fck \u00f6l\u00e7ekli uygulamalara y\u00f6nelik potansiyelini ortaya \u00e7\u0131kard\u0131\u011f\u0131n\u0131 g\u00f6rd\u00fck.\u00a0A\u015f\u0131r\u0131 uyum yakla\u015f\u0131k yar\u0131m d\u00fczineden sonra bir endi\u015fe kayna\u011f\u0131yd\u0131 ancak bu test i\u00e7in mutlaka bir endi\u015fe kayna\u011f\u0131 de\u011fildi, \u00e7\u00fcnk\u00fc ama\u00e7 genel bir Y\u00fcksek Lisans modeli olu\u015fturmaktan ziyade GPU&#8217;lar\u0131m\u0131z\u0131 ve a\u011f payla\u015f\u0131m\u0131m\u0131z\u0131 daha fazla y\u00fcklemekti.<\/li>\n<li>Kaynak Optimizasyonu: Gereken muazzam GPU g\u00fcc\u00fc g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda, hesaplama kaynaklar\u0131n\u0131n verimli kullan\u0131m\u0131n\u0131 sa\u011flamak \u00e7ok \u00f6nemliydi.\u00a0Optimum performans\u0131 sa\u011flamak i\u00e7in dinamik y\u00fck dengeleme, periyodik kontrol noktalar\u0131 ve an\u0131nda veri art\u0131rma teknikleri kullan\u0131ld\u0131.<\/li>\n<li>Transfer \u00d6\u011frenme Potansiyeli: Stanford Alpaca e\u011fitim veri setini Reddit verileriyle birlikte kullanmak, modelin transfer \u00f6\u011frenme yeteneklerini \u00f6l\u00e7mede etkili oldu.\u00a0Alpaca veri setinin do\u011fal yap\u0131s\u0131 ve akademik do\u011fas\u0131, Reddit verilerinin resmi olmayan ve \u00e7e\u015fitli do\u011fas\u0131yla bir araya geldi\u011finde heyecan verici bir zorluk ortaya \u00e7\u0131kt\u0131.\u00a0Sonu\u00e7lar, LLaMa&#8217;n\u0131n farkl\u0131 kaynaklardan gelen bilgileri sorunsuz bir \u015fekilde entegre ederek onu \u00e7ok y\u00f6nl\u00fc ve uyarlanabilir hale getirdi\u011fini g\u00f6sterdi.<\/li>\n<li>Etik Hususlar: Geni\u015f Reddit veri seti bir bilgi hazinesi sunarken, ki\u015fisel olarak tan\u0131mlanabilir bilgilerin hari\u00e7 tutulmas\u0131n\u0131 ve verilerin etik ve sorumlu bir \u015fekilde kullan\u0131lmas\u0131n\u0131 sa\u011flamak \u00e7ok \u00f6nemlidir.\u00a0Kullan\u0131c\u0131 gizlili\u011fini korumak amac\u0131yla modelin yay\u0131nlanmas\u0131 i\u00e7in s\u0131k\u0131 veri temizleme ve anonimle\u015ftirme s\u00fcre\u00e7lerinin uygulamaya konmas\u0131 gerekecektir.<\/li>\n<\/ol>\n<p>Bu egzersiz, KIOXIA&#8217;n\u0131n y\u00fcksek yo\u011funluklu s\u00fcr\u00fcc\u00fclerinin e\u011fitim verimlili\u011fimizi art\u0131rmada oynad\u0131\u011f\u0131 \u00f6nemli rol\u00fcn alt\u0131n\u0131 \u00e7izdi.\u00a0Veri k\u00fcmelerinin muazzam boyutu ve model e\u011fitiminin yinelemeli do\u011fas\u0131 g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda, depolama h\u0131z\u0131 ve kapasitesi bu t\u00fcr deneylerde genellikle darbo\u011fazlard\u0131r.\u00a0KIOXIA&#8217;n\u0131n s\u00fcr\u00fcc\u00fcleri sayesinde, veri k\u00fcmesinin birden fazla \u00f6rne\u011fini, ara model a\u011f\u0131rl\u0131klar\u0131n\u0131 ve d\u00fczinelerce ince ayarl\u0131 kontrol noktas\u0131n\u0131 depolama l\u00fcks\u00fcne sahip olduk.\u00a0H\u0131zl\u0131 okuma ve yazma h\u0131zlar\u0131, h\u0131zl\u0131 veri al\u0131m\u0131n\u0131 kolayla\u015ft\u0131rd\u0131 ve a\u015fa\u011f\u0131da g\u00f6sterildi\u011fi gibi farkl\u0131 hiper parametrelerle ince ayar\u0131n birden fazla yinelemesini paralel olarak i\u015flememize olanak sa\u011flad\u0131.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-125999\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/WB-Chart-9_11_2023-9_37_32-AM-1024x525.png\" sizes=\"(max-width: 1024px) 100vw, 1024px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/WB-Chart-9_11_2023-9_37_32-AM-1024x525.png 1024w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/WB-Chart-9_11_2023-9_37_32-AM-300x154.png 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/WB-Chart-9_11_2023-9_37_32-AM-768x394.png 768w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/WB-Chart-9_11_2023-9_37_32-AM-1536x788.png 1536w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/WB-Chart-9_11_2023-9_37_32-AM-1170x600.png 1170w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/WB-Chart-9_11_2023-9_37_32-AM-585x300.png 585w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/WB-Chart-9_11_2023-9_37_32-AM.png 1920w\" alt=\"\" width=\"1024\" height=\"525\" \/><\/p>\n<p>Bu, en uygun \u00e7al\u0131\u015fma kontrol noktas\u0131n\u0131 belirleme aray\u0131\u015f\u0131m\u0131zda \u00e7ok \u00f6nemliydi.\u00a0Yeni in\u015fa etti\u011fimiz KIOXIA destekli depolama sunucumuz sayesinde, depolama s\u0131n\u0131rlamalar\u0131yla k\u0131s\u0131tlanmak yerine modeli iyile\u015ftirmeye, parametreleri ayarlamaya ve sonu\u00e7lar\u0131 de\u011ferlendirmeye odaklanabildik.\u00a0Bu nedenle y\u00fcksek yo\u011funluklu s\u00fcr\u00fcc\u00fcler yaln\u0131zca bir depolama \u00e7\u00f6z\u00fcm\u00fc de\u011fil ayn\u0131 zamanda deney a\u015famam\u0131z\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde h\u0131zland\u0131ran \u00f6nemli bir varl\u0131kt\u0131.\u00a0Bu, LLaMa modelinin potansiyelinin daha kapsaml\u0131 ve verimli bir \u015fekilde ara\u015ft\u0131r\u0131lmas\u0131n\u0131 sa\u011flad\u0131 ve kendi yeni evri\u015fimli sinir a\u011f\u0131m\u0131z\u0131 (CNN) geli\u015ftirmemize olanak sa\u011flad\u0131.<\/p>\n<p><a href=\"https:\/\/www.storagereview.com\/news\/the-ai-jargon-buster\">Deneyimsiz olanlar i\u00e7in<\/a>\u00a0, evri\u015fimli bir sinir a\u011f\u0131 (CNN), a\u011f\u0131rl\u0131kl\u0131 olarak g\u00f6r\u00fcnt\u00fc i\u015fleme ve bilgisayarl\u0131 g\u00f6rme g\u00f6revlerinde kullan\u0131lan \u00f6zel bir derin \u00f6\u011frenme mimarisi t\u00fcr\u00fcd\u00fcr.\u00a0Onun ay\u0131rt edici \u00f6zelli\u011fi, giri\u015f g\u00f6r\u00fcnt\u00fclerinden \u00f6zelliklerin mekansal hiyerar\u015filerini otomatik ve uyarlanabilir bir \u015fekilde \u00f6\u011frenen evri\u015fimli katmanlarda yatmaktad\u0131r.\u00a0Tamamen ba\u011flant\u0131l\u0131 katmanlara dayanan geleneksel sinir a\u011flar\u0131n\u0131n aksine, CNN&#8217;ler, giri\u015f verilerini k\u00fc\u00e7\u00fck par\u00e7alar veya al\u0131c\u0131 alanlarda i\u015fleyen evri\u015fimli filtreler uygulayarak verilerin uzamsal yap\u0131s\u0131ndan yararlan\u0131r.\u00a0Bu, daha basit olanlardan olu\u015fturularak kenarlar, dokular ve daha karma\u015f\u0131k yap\u0131lar gibi karma\u015f\u0131k desenleri tespit edebilen bir a\u011fla sonu\u00e7lan\u0131r.\u00a0Veriler a\u011f\u0131n derinliklerine do\u011fru ilerledik\u00e7e, bu modeller daha soyut hale gelir ve CNN&#8217;lerin \u00e7e\u015fitli ve \u00e7o\u011funlukla karma\u015f\u0131k g\u00f6rsel varl\u0131klar\u0131 hiyerar\u015fik olarak tan\u0131mas\u0131na ve s\u0131n\u0131fland\u0131rmas\u0131na olanak tan\u0131r.<\/p>\n<p>\u00c7ok say\u0131da ince ayar denemesi yoluyla model, b\u00fcy\u00fck veri k\u00fcmelerini verimli bir \u015fekilde i\u015fleme yetene\u011fini sergiledi ve ilgili, ba\u011flama duyarl\u0131 ve incelikli \u00e7\u0131kt\u0131lar \u00fcretme potansiyelini vurgulad\u0131.\u00a0Y\u00fcksek Lisans&#8217;lar ilgi g\u00f6rmeye devam ettik\u00e7e, bu t\u00fcr deneyler pratik uygulamalar\u0131 ve s\u0131n\u0131rlamalar\u0131 hakk\u0131nda paha bi\u00e7ilmez bilgiler sunarak gelecekte daha karma\u015f\u0131k ve kullan\u0131c\u0131 merkezli yapay zeka \u00e7\u00f6z\u00fcmlerinin \u00f6n\u00fcn\u00fc a\u00e7\u0131yor.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Sunucu_Cikarim_Yetenekleri\"><\/span>Sunucu \u00c7\u0131kar\u0131m Yetenekleri<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>KIOXIA E1.S SSD&#8217;ler \u00c7\u0131kar\u0131m i\u015flemlerinin ayn\u0131 veri k\u00fcmesi \u00fczerinde y\u00fcr\u00fct\u00fclmesi, veri y\u00f6netimi karma\u015f\u0131kl\u0131klar\u0131n\u0131 basitle\u015ftiren ak\u0131c\u0131 bir yap\u0131 sunar. Sunucumuz yaln\u0131zca bir depolama arac\u0131 de\u011fildir; veri al\u0131m\u0131 ve haz\u0131rl\u0131\u011f\u0131 da dahil olmak \u00fczere \u00e7\u0131kar\u0131mla ilgili etkinlikleri ger\u00e7ekle\u015ftirecek donan\u0131ma sahiptir.<\/p>\n<div>\n<div dir=\"ltr\">\n<p>Daha b\u00fcy\u00fck veri k\u00fcmeleri \u00fczerindeki \u00e7\u0131kar\u0131m\u0131 test etmek i\u00e7in yakla\u015f\u0131k 1 Mb ile 20 Mb aras\u0131nda de\u011fi\u015fen bir dizi astrofotografi g\u00f6r\u00fcnt\u00fcs\u00fc se\u00e7tik ve bunlara kar\u015f\u0131 \u00fczerinde \u00e7al\u0131\u015ft\u0131\u011f\u0131m\u0131z yeni bir CNN&#8217;yi \u00e7al\u0131\u015ft\u0131rd\u0131k.\u00a0Senaryomuzda model GPU&#8217;ya y\u00fcklenir ve ard\u0131ndan sinir a\u011f\u0131 \u00fczerinden i\u015flenmek \u00fczere bir g\u00f6r\u00fcnt\u00fc veya g\u00f6r\u00fcnt\u00fc dizisi y\u00fcklenir.<\/p>\n<\/div>\n<\/div>\n<p>Bu, standart bir kameradan bilgisayarla g\u00f6rme nesnesi s\u0131n\u0131fland\u0131rmas\u0131 gibi bir \u015feyde kar\u015f\u0131la\u015faca\u011f\u0131n\u0131zdan daha geni\u015f bir depolama alan\u0131 profilidir.\u00a0Yine de platformun performans\u0131n\u0131n esnekli\u011fini ve tutarl\u0131l\u0131\u011f\u0131n\u0131 g\u00f6sterdi.\u00a0Y\u00fcklenme s\u0131ras\u0131na g\u00f6re de\u011fil (birka\u00e7 ayk\u0131r\u0131 de\u011fer d\u0131\u015f\u0131nda) boyuta g\u00f6re s\u0131ralanan a\u015fa\u011f\u0131daki grafikte, okuma s\u00fcresi ve geri yazma s\u00fcreleri uygun \u015fekilde \u00f6l\u00e7eklendirilmi\u015ftir.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-125992\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Forpublish3ter-1024x511.png\" sizes=\"(max-width: 1024px) 100vw, 1024px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Forpublish3ter-1024x511.png 1024w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Forpublish3ter-300x150.png 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Forpublish3ter-768x383.png 768w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Forpublish3ter-585x292.png 585w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Forpublish3ter.png 1026w\" alt=\"\" width=\"1024\" height=\"511\" \/><\/p>\n<p>Bu grafi\u011fin, s\u00fcr\u00fcc\u00fclerin ve sunucunun do\u011frusal performans\u0131n\u0131 g\u00f6stermek i\u00e7in en k\u00fc\u00e7\u00fckten en b\u00fcy\u00fc\u011fe do\u011fru s\u0131raland\u0131\u011f\u0131n\u0131 unutmamak \u00f6nemlidir.\u00a0Ger\u00e7ek \u00e7al\u0131\u015fma ve veri seti rastgele se\u00e7ilmi\u015fti, dolay\u0131s\u0131yla 1 Mb&#8217;lik bir dosya okunup yaz\u0131labilirdi ve hemen ard\u0131ndan 20 Mb&#8217;l\u0131k bir dosya gelebilirdi.\u00a0Ger\u00e7ek i\u015flemenin t\u00fcr\u00fc belirli bir s\u0131raya g\u00f6re de\u011fildi.\u00a0Okuma s\u00fcreleri 10 ms ile 25 ms aras\u0131nda de\u011fi\u015fiyordu ve ayk\u0131r\u0131 de\u011ferler 70 ms+ aral\u0131\u011f\u0131na ula\u015f\u0131yordu.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-125987\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Storagereview-kioxia-ai-inference-loadtime.png\" sizes=\"(max-width: 1500px) 100vw, 1500px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Storagereview-kioxia-ai-inference-loadtime.png 1500w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Storagereview-kioxia-ai-inference-loadtime-300x120.png 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Storagereview-kioxia-ai-inference-loadtime-1024x410.png 1024w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Storagereview-kioxia-ai-inference-loadtime-768x308.png 768w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Storagereview-kioxia-ai-inference-loadtime-1170x469.png 1170w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/Storagereview-kioxia-ai-inference-loadtime-585x234.png 585w\" alt=\"\" width=\"1500\" height=\"601\" \/><\/p>\n<p>A\u015fa\u011f\u0131daki grafik, daha az sapma ile benzer \u015fekilde do\u011frusal bir ilerlemenin yaz\u0131lmas\u0131n\u0131 g\u00f6stermektedir ve ayn\u0131 dosyalar\u0131n 12 ms ile 118 ms aras\u0131nda de\u011fi\u015fen yazma i\u015flemlerini g\u00f6stermektedir.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-125988\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/storagereview-kioxia-ai-inference-writetime.png\" sizes=\"(max-width: 1500px) 100vw, 1500px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/storagereview-kioxia-ai-inference-writetime.png 1500w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/storagereview-kioxia-ai-inference-writetime-300x129.png 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/storagereview-kioxia-ai-inference-writetime-1024x440.png 1024w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/storagereview-kioxia-ai-inference-writetime-768x330.png 768w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/storagereview-kioxia-ai-inference-writetime-1170x503.png 1170w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/09\/storagereview-kioxia-ai-inference-writetime-585x252.png 585w\" alt=\"\" width=\"1500\" height=\"645\" \/>KIOXIA E1.S SSD&#8217;ler Hat\u0131rlanmas\u0131 gereken bir di\u011fer \u00f6nemli bilgi de, bu grafi\u011fin, ayn\u0131 veri k\u00fcmesine y\u00f6nelik bir \u00e7\u0131kar\u0131m\u0131 ayn\u0131 anda \u00e7al\u0131\u015ft\u0131ran \u00fc\u00e7 GPU i\u015f istasyonundaki izlemenin bir toplam\u0131 oldu\u011fudur. KIOXIA s\u00fcr\u00fcc\u00fcleri, modelin kulland\u0131\u011f\u0131 serile\u015ftirilmi\u015f i\u015fleme hari\u00e7, 1000 g\u00f6r\u00fcnt\u00fcden olu\u015fan rastgele bir veri k\u00fcmesine kar\u015f\u0131 \u00e7\u0131kar\u0131m yapan etkileyici 10,5 GB&#8217;l\u0131k \u00fc\u00e7 GPU i\u015f istasyonuna hizmet verebildi ve geri yazabildi. Tek bir g\u00f6r\u00fcnt\u00fcn\u00fcn okunmas\u0131 ve geri yaz\u0131lmas\u0131 t\u00fcm s\u00fcre\u00e7 yaln\u0131zca 59,62 saniye veya 59 ms s\u00fcrd\u00fc.<del><\/del><\/p>\n<p>Bu tasar\u0131m birden fazla i\u015f istasyonuna veya GPU sunucusuna \u00f6l\u00e7eklenebildi\u011finden, \u00e7e\u015fitli se\u00e7enekler h\u0131z\u0131 ve gecikmeyi art\u0131rabilir.\u00a0NVIDIA&#8217;n\u0131n GPUDirect Depolamas\u0131n\u0131n RDMA (Uzaktan Do\u011frudan Bellek Eri\u015fimi) protokol\u00fcyle birlikte uygulanmas\u0131, y\u00fcksek yo\u011funluklu payla\u015f\u0131lan depolamadan do\u011frudan GPU belle\u011fine kesintisiz veri aktar\u0131m\u0131n\u0131 kolayla\u015ft\u0131racakt\u0131r.\u00a0Bu yakla\u015f\u0131m, CPU ve sistem belle\u011fi darbo\u011fazlar\u0131n\u0131 etkili bir \u015fekilde atlayacakt\u0131r.\u00a0Yap\u0131lar ve NVIDIA a\u011f donan\u0131m\u0131 \u00fczerinden NVMe&#8217;den yararlan\u0131larak, b\u00fcy\u00fck veri hacimleri GPU belle\u011fine neredeyse ger\u00e7ek zamanl\u0131 olarak \u00f6nceden y\u00fcklenebilir.\u00a0Bu, b\u00fcy\u00fck veri k\u00fcmeleri ve hesaplama talepleri g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda, LLM&#8217;lerle u\u011fra\u015f\u0131rken \u00f6zellikle faydal\u0131 olacakt\u0131r.\u00a0B\u00f6yle bir yetenek, verileri \u00f6nbelle\u011fe alma ihtiyac\u0131n\u0131 ortadan kald\u0131rabilir ve birden fazla i\u015f istasyonunun ayn\u0131 anda payla\u015f\u0131lan depolama havuzundaki verileri okumas\u0131na ve almas\u0131na olanak tan\u0131yabilir.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Son_dusunceler\"><\/span>Son d\u00fc\u015f\u00fcnceler<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>KIOXIA E1.S SSD&#8217;ler Daha b\u00fcy\u00fck modellerin G\/\u00c7 darbo\u011faz\u0131n\u0131n ele al\u0131nmas\u0131, \u00f6zellikle geni\u015f veri k\u00fcmeleriyle u\u011fra\u015f\u0131rken makine \u00f6\u011freniminin devam eden geli\u015fimi a\u00e7\u0131s\u0131ndan \u00e7ok \u00f6nemlidir. Merkezi, y\u00fcksek h\u0131zl\u0131 a\u011f payla\u015f\u0131m\u0131, geleneksel yerel depolamaya g\u00f6re \u00fc\u00e7 kat avantaj sunar.<\/p>\n<ul>\n<li>\u0130lk olarak, b\u00fcy\u00fck veri k\u00fcmelerini e\u011fitim i\u00e7in bireysel i\u015f istasyonlar\u0131na ta\u015f\u0131ma ihtiyac\u0131n\u0131 ortadan kald\u0131rarak operasyonlar\u0131 kolayla\u015ft\u0131r\u0131r.\u00a0Bu, \u00f6zellikle derin \u00f6\u011frenme modellerini i\u00e7eren makine \u00f6\u011frenimi projelerini sekteye u\u011fratabilecek G\/\u00c7 darbo\u011fazlar\u0131yla do\u011frudan m\u00fccadele eder.<\/li>\n<li>\u0130kincisi, merkezi bir yakla\u015f\u0131m\u0131 tercih ederek, i\u015f istasyonunun de\u011ferli PCIe hatlar\u0131n\u0131 a\u015f\u0131r\u0131 ve hatta ula\u015f\u0131lamaz miktarlarda yerel depolamayla bunaltmaktan ka\u00e7\u0131n\u0131rs\u0131n\u0131z.\u00a0Y\u00fcksek h\u0131zl\u0131 ba\u011flant\u0131 sayesinde bu, daha fazla GPU&#8217;nun verileri paralel olarak daha verimli bir \u015fekilde i\u015flemesini sa\u011flayarak makine \u00f6\u011frenimi i\u015flemlerini daha yal\u0131n ve daha \u00e7evik hale getirebilir.<\/li>\n<li>\u00dc\u00e7\u00fcnc\u00fcs\u00fc, merkezi depolama do\u011fas\u0131 gere\u011fi daha iyi g\u00fcvenlik \u00f6nlemleri sa\u011flar.\u00a0Veriler g\u00fcvenli, tek bir konumda depoland\u0131\u011f\u0131nda eri\u015fim kontrollerini y\u00f6netmek ve g\u00fcvenlik protokollerini uygulamak daha kolay hale gelir; b\u00f6ylece veri ihlali, fiziksel tehdit veya yetkisiz eri\u015fim riski azal\u0131r.<\/li>\n<\/ul>\n<p>KIOXIA E1.S SSD&#8217;ler Ek olarak, verilerin merkezile\u015ftirilmesi, geli\u015fmi\u015f veri tutarl\u0131l\u0131\u011f\u0131 ve ek bir veri yedeklili\u011fi katman\u0131 sa\u011flar. \u0130\u015f istasyonlar\u0131, en g\u00fcncel verilere tek bir kaynaktan eri\u015ferek, eski veya tutars\u0131z e\u011fitim veya verilere veya model kontrol noktalar\u0131na ince ayar yap\u0131lmas\u0131 nedeniyle sonu\u00e7lardaki tutars\u0131zl\u0131klar\u0131 en aza indirir. Bu ayn\u0131 zamanda veri y\u00f6netimini basitle\u015ftirir ve depolama alan\u0131ndan tasarruf sa\u011flar.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-126818\" src=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/10\/StorageReview-Kioxia-XD7P-AI-7-1024x632.jpg\" sizes=\"(max-width: 1024px) 100vw, 1024px\" srcset=\"https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/10\/StorageReview-Kioxia-XD7P-AI-7-1024x632.jpg 1024w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/10\/StorageReview-Kioxia-XD7P-AI-7-300x185.jpg 300w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/10\/StorageReview-Kioxia-XD7P-AI-7-768x474.jpg 768w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/10\/StorageReview-Kioxia-XD7P-AI-7-1170x722.jpg 1170w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/10\/StorageReview-Kioxia-XD7P-AI-7-585x361.jpg 585w, https:\/\/www.storagereview.com\/wp-content\/uploads\/2023\/10\/StorageReview-Kioxia-XD7P-AI-7.jpg 1500w\" alt=\"\" width=\"1024\" height=\"632\" \/><\/p>\n<p>Hipersonik olarak geli\u015fen yapay zeka ve makine \u00f6\u011frenimi ortam\u0131nda \u00f6l\u00e7eklenebilirlik, verimlilik ve g\u00fcvenlik giderek daha \u00f6nemli hale geldik\u00e7e, KIOXIA E1.S platformu gibi teknolojilerin sa\u011flad\u0131\u011f\u0131 merkezi, yo\u011fun, y\u00fcksek h\u0131zl\u0131 depolamaya ge\u00e7i\u015f zorlay\u0131c\u0131 bir durum sunuyor.\u00a0Bu, yaln\u0131zca geli\u015fmi\u015f performans a\u00e7\u0131s\u0131ndan de\u011fil, ayn\u0131 zamanda veri y\u00f6netimi ve model e\u011fitimine yakla\u015f\u0131m\u0131m\u0131zdaki temel d\u00f6n\u00fc\u015f\u00fcm a\u00e7\u0131s\u0131ndan da kritik \u00f6neme sahiptir.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>KIOXIA E1.S SSD&#8217;ler KIOXIA E1.S SSD&#8217;ler Yapay Zeka \u0130\u015f Ak\u0131\u015flar\u0131n\u0131 Daha Verimli Hale Getiriyor KIOXIA E1.S SSD&#8217;ler Yapay zeka i\u00e7in<\/p>\n","protected":false},"author":4,"featured_media":1389,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[249],"tags":[308,252,230],"class_list":["post-1388","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-disk","tag-e1-s-ssd","tag-kioxia","tag-yapay-zeka"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>KIOXIA E1.S SSD&#039;ler<\/title>\n<meta name=\"description\" content=\"KIOXIA E1.S SSD&#039;ler Yapay Zeka \u0130\u015f Ak\u0131\u015flar\u0131n\u0131 Daha Verimli Hale Getiriyor. 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