{"id":27954,"date":"2025-08-21T07:00:24","date_gmt":"2025-08-21T04:00:24","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/google-cloud-compute-engine-gpu-ve-makine-aileleri\/"},"modified":"2025-08-21T07:00:24","modified_gmt":"2025-08-21T04:00:24","slug":"google-cloud-compute-engine-gpu-ve-makine-aileleri","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/google-cloud-compute-engine-gpu-ve-makine-aileleri\/","title":{"rendered":"Google Cloud Compute Engine: GPU ve Makine Aileleri"},"content":{"rendered":"<p>Google Cloud Compute Engine: GPU ve Makine Aileleri<\/p>\n<p>Google Cloud Platform&#8217;da (GCP) y\u00fcksek performansl\u0131 hesaplama gerektiren i\u015fler i\u00e7in Grafik \u0130\u015flem \u00dcniteleri (GPU) olmazsa olmazd\u0131r.  Ancak, GCP&#8217;nin sundu\u011fu \u00e7ok say\u0131da makine ailesi ve GPU se\u00e7ene\u011fi aras\u0131nda do\u011fru olan\u0131 se\u00e7mek zor olabilir. Bu makalede, Google Cloud Compute Engine&#8217;deki GPU&#8217;lar ve \u00e7e\u015fitli makine aileleri hakk\u0131nda kapsaml\u0131 bir rehber sunuyor, ger\u00e7ek d\u00fcnya senaryolar\u0131yla destekliyoruz.  Veri bilimi, makine \u00f6\u011frenmesi, oyun geli\u015ftirme ve grafik tasar\u0131m gibi alanlarda GPU&#8217;lar\u0131n g\u00fcc\u00fcnden nas\u0131l yararlanabilece\u011finizi ad\u0131m ad\u0131m \u00f6\u011freneceksiniz.<\/p>\n<h2>Google Cloud&#8217;da GPU&#8217;lar: Temel Kavramlar<\/h2>\n<p>Grafik \u0130\u015flem \u00dcniteleri (GPU&#8217;lar), \u00f6zellikle paralel hesaplama gerektiren g\u00f6revlerde CPU&#8217;lardan \u00e7ok daha g\u00fc\u00e7l\u00fcd\u00fcr.  Bu nedenle, derin \u00f6\u011frenme model e\u011fitimi, g\u00f6r\u00fcnt\u00fc i\u015fleme, bilimsel sim\u00fclasyonlar ve oyun geli\u015ftirme gibi alanlarda yayg\u0131n olarak kullan\u0131l\u0131rlar.  Google Cloud, NVIDIA Tesla, AMD Radeon ve Intel Xeon gibi \u00e7e\u015fitli GPU \u00fcreticilerinin en son teknoloji \u00fcr\u00fcn\u00fc GPU&#8217;lar\u0131n\u0131 sunar.  Her bir GPU, farkl\u0131 bellek kapasitesi, i\u015flem g\u00fcc\u00fc ve ba\u011flant\u0131 h\u0131zlar\u0131na sahiptir.  Do\u011fru GPU&#8217;yu se\u00e7mek, uygulama gereksinimlerinize ve b\u00fct\u00e7enize ba\u011fl\u0131d\u0131r.  \u00d6rne\u011fin, y\u00fcksek \u00e7\u00f6z\u00fcn\u00fcrl\u00fckl\u00fc g\u00f6r\u00fcnt\u00fc i\u015fleme i\u00e7in y\u00fcksek bellekli bir GPU gerekirken, makine \u00f6\u011frenmesi model e\u011fitimi i\u00e7in y\u00fcksek i\u015flem g\u00fcc\u00fcne sahip bir GPU daha uygun olabilir.  GPU se\u00e7imi performans ve maliyet aras\u0131nda dikkatli bir denge kurmay\u0131 gerektirir.  Daha fazla bilgi i\u00e7in (https:\/\/fatihsoysal.com) inceleyebilirsiniz.<\/p>\n<h2>Hangi GPU&#8217;yu Se\u00e7meliyim? Uygulama Senaryolar\u0131na G\u00f6re GPU Se\u00e7imi<\/h2>\n<p>Uygulama senaryolar\u0131n\u0131z\u0131n \u00f6zelliklerini anlamak, do\u011fru GPU&#8217;yu se\u00e7mek i\u00e7in \u00e7ok \u00f6nemlidir.  \u00d6rne\u011fin, b\u00fcy\u00fck \u00f6l\u00e7ekli bir makine \u00f6\u011frenmesi modelini e\u011fitmek i\u00e7in y\u00fcksek bellek kapasitesine sahip bir GPU&#8217;ya ihtiyac\u0131n\u0131z olacakt\u0131r.  NVIDIA A100 veya V100 gibi \u00fcst d\u00fczey GPU&#8217;lar bu t\u00fcr uygulamalar i\u00e7in idealdir.  Ancak, daha k\u00fc\u00e7\u00fck \u00f6l\u00e7ekli bir projeniz varsa, daha d\u00fc\u015f\u00fck maliyetli ve daha az g\u00fc\u00e7l\u00fc bir GPU yeterli olabilir.  \u00d6rne\u011fin, bir web uygulamas\u0131 i\u00e7in GPU h\u0131zland\u0131rmas\u0131 gerekiyorsa, NVIDIA T4 gibi bir GPU iyi bir se\u00e7enek olabilir.  A\u015fa\u011f\u0131da, baz\u0131 yayg\u0131n uygulama senaryolar\u0131 ve \u00f6nerilen GPU t\u00fcrleri yer almaktad\u0131r:<\/p>\n<ul>\n<li><strong>Derin \u00d6\u011frenme Modeli E\u011fitimi:<\/strong> NVIDIA A100, NVIDIA V100, NVIDIA T4<\/li>\n<li><strong>G\u00f6r\u00fcnt\u00fc \u0130\u015fleme:<\/strong> NVIDIA Tesla T4, NVIDIA RTX A6000<\/li>\n<li><strong>Bilimsel Sim\u00fclasyonlar:<\/strong> NVIDIA A100, AMD Instinct MI100<\/li>\n<li><strong>Oyun Geli\u015ftirme:<\/strong> NVIDIA RTX A6000, NVIDIA RTX 3090<\/li>\n<\/ul>\n<h2>Google Cloud Compute Engine Makine Aileleri: Performans Kar\u015f\u0131la\u015ft\u0131rmas\u0131<\/h2>\n<p>Google Cloud, \u00e7e\u015fitli gereksinimleri kar\u015f\u0131lamak i\u00e7in farkl\u0131 makine aileleri sunmaktad\u0131r.  Bu aileler, i\u015flemci, bellek ve depolama gibi \u00f6zelliklerde farkl\u0131l\u0131k g\u00f6sterir.  GPU&#8217;lu makine aileleri, grafik i\u015fleme yo\u011fun uygulamalar i\u00e7in optimize edilmi\u015ftir.  En yayg\u0131n GPU&#8217;lu makine ailelerinden baz\u0131lar\u0131 \u015funlard\u0131r:  n1-standard, n2-standard, n2d-standard, a2,  t2d,  c2,  g2,  g3,  v3 ve daha yenileri.  Her ailenin performans\u0131, fiyat\u0131 ve \u00f6zellikleri farkl\u0131l\u0131k g\u00f6sterir.  \u00d6rne\u011fin, n1-standard aileleri genel ama\u00e7l\u0131 g\u00f6revler i\u00e7in uygundur, ancak grafik i\u015fleme i\u00e7in en uygun se\u00e7enek de\u011fildir.  GCP&#8217;nin sundu\u011fu farkl\u0131 makine aileleri aras\u0131ndaki performans kar\u015f\u0131la\u015ft\u0131rmas\u0131 i\u00e7in resmi Google Cloud dok\u00fcmanlar\u0131n\u0131 incelemenizi tavsiye ederiz.<\/p>\n<table>\n<tr>\n<th>Makine Ailesi<\/th>\n<th>CPU<\/th>\n<th>Bellek<\/th>\n<th>Depolama<\/th>\n<th>GPU Deste\u011fi<\/th>\n<th>Uygulama \u00d6rne\u011fi<\/th>\n<\/tr>\n<tr>\n<td>n1-standard<\/td>\n<td>Intel Xeon<\/td>\n<td>De\u011fi\u015fken<\/td>\n<td>SSD\/HDD<\/td>\n<td>Yok<\/td>\n<td>Genel ama\u00e7l\u0131 i\u015fler<\/td>\n<\/tr>\n<tr>\n<td>n2-standard<\/td>\n<td>Intel Xeon<\/td>\n<td>De\u011fi\u015fken<\/td>\n<td>SSD\/HDD<\/td>\n<td>Se\u00e7enekli<\/td>\n<td>Makine \u00f6\u011frenmesi, veri analizi<\/td>\n<\/tr>\n<tr>\n<td>a2<\/td>\n<td>AMD EPYC<\/td>\n<td>De\u011fi\u015fken<\/td>\n<td>SSD\/HDD<\/td>\n<td>Se\u00e7enekli<\/td>\n<td>Maliyet etkin makine \u00f6\u011frenmesi<\/td>\n<\/tr>\n<tr>\n<td>g2<\/td>\n<td>Intel Xeon<\/td>\n<td>Y\u00fcksek<\/td>\n<td>SSD<\/td>\n<td>NVIDIA Tesla K80<\/td>\n<td>GPU h\u0131zland\u0131r\u0131lm\u0131\u015f uygulamalar<\/td>\n<\/tr>\n<tr>\n<td>g3<\/td>\n<td>Intel Xeon<\/td>\n<td>Y\u00fcksek<\/td>\n<td>SSD<\/td>\n<td>NVIDIA Tesla V100<\/td>\n<td>Y\u00fcksek performansl\u0131 GPU i\u015fleri<\/td>\n<\/tr>\n<\/table>\n<h2>Google Cloud Compute Engine&#8217;de GPU Kurulumu: Ad\u0131m Ad\u0131m<\/h2>\n<p>Google Cloud Compute Engine&#8217;de GPU ile bir sanal makine (VM) olu\u015fturmak nispeten kolayd\u0131r.  \u0130\u015fte ad\u0131m ad\u0131m bir k\u0131lavuz:<\/p>\n<ol>\n<li>Google Cloud Console&#8217;a giri\u015f yap\u0131n.<\/li>\n<li>Compute Engine b\u00f6l\u00fcm\u00fcne gidin ve &#8220;VM \u00f6rnekleri olu\u015ftur&#8221; se\u00e7ene\u011fini t\u0131klay\u0131n.<\/li>\n<li>VM \u00f6rne\u011fi i\u00e7in bir isim se\u00e7in.<\/li>\n<li>Makine ailesini se\u00e7in (\u00f6rne\u011fin, n2-standard-2 veya g2-standard-2).  GPU destekli bir makine ailesi se\u00e7meniz gerekiyor.<\/li>\n<li>\u0130htiyac\u0131n\u0131z olan i\u015flemci \u00e7ekirde\u011fi say\u0131s\u0131n\u0131, belle\u011fi ve depolama alan\u0131n\u0131 se\u00e7in.<\/li>\n<li>&#8220;GPU&#8217;lar&#8221; b\u00f6l\u00fcm\u00fcnden, kullanmak istedi\u011finiz GPU t\u00fcr\u00fcn\u00fc ve say\u0131s\u0131n\u0131 se\u00e7in.<\/li>\n<li>Di\u011fer ayarlar\u0131 yap\u0131land\u0131r\u0131n (a\u011f, diskler, vb.).<\/li>\n<li>&#8220;Olu\u015ftur&#8221; d\u00fc\u011fmesini t\u0131klay\u0131n.<\/li>\n<\/ol>\n<p>VM \u00f6rne\u011fi olu\u015fturulduktan sonra, SSH kullanarak ba\u011flanabilir ve GPU&#8217;yu kullanacak uygulaman\u0131z\u0131 \u00e7al\u0131\u015ft\u0131rabilirsiniz.  Unutmay\u0131n, do\u011fru s\u00fcr\u00fcc\u00fclerin kurulu oldu\u011fundan emin olman\u0131z gerekir.  Daha detayl\u0131 bilgi i\u00e7in Google Cloud dok\u00fcmantasyonuna bakabilirsiniz.<\/p>\n<h2>\u0130leri D\u00fczey Konular: GPU Performans\u0131n\u0131 Optimize Etme<\/h2>\n<p>GPU performans\u0131n\u0131 optimize etmek, uygulaman\u0131z\u0131n verimlili\u011fini \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir.  Bunun i\u00e7in a\u015fa\u011f\u0131daki ipu\u00e7lar\u0131n\u0131 g\u00f6z \u00f6n\u00fcnde bulundurabilirsiniz:<\/p>\n<ul>\n<li><strong>Uygulama kodunuzu optimize edin:<\/strong>  Paralelle\u015ftirmeyi iyile\u015ftirin ve bellek eri\u015fimlerini azalt\u0131n.<\/li>\n<li><strong>Do\u011fru GPU s\u00fcr\u00fcc\u00fclerini kullan\u0131n:<\/strong>  Eski s\u00fcr\u00fcc\u00fcler performans sorunlar\u0131na yol a\u00e7abilir.<\/li>\n<li<strong>GPU&#8217;nun yeteneklerini anlay\u0131n:<\/strong> Uygulaman\u0131z\u0131n gereksinimlerini GPU&#8217;nun yetenekleriyle e\u015fle\u015ftirin.<\/li>\n<li><strong>Preemtible VM \u00f6rneklerini kullan\u0131n:<\/strong>  Maliyetleri d\u00fc\u015f\u00fcrmek i\u00e7in preemtible \u00f6rnekleri deneyebilirsiniz ancak kesintiler beklenebilir.<\/li>\n<\/ul>\n<div class=\"uyari\">\n<h3>Dikkat!<\/h3>\n<p>  Preemtible VM \u00f6rnekleri beklenmedik bir anda sonland\u0131r\u0131labilir.  \u00d6nemli verilerin d\u00fczenli olarak yedekleme yap\u0131lmas\u0131 gerekmektedir.\n<\/p><\/div>\n<h2>Ger\u00e7ek D\u00fcnya Vaka Analizi: Makine \u00d6\u011frenmesi Modeli E\u011fitimi<\/h2>\n<p>Bir makine \u00f6\u011frenmesi modelini e\u011fitmek i\u00e7in Google Cloud Compute Engine&#8217;deki bir GPU&#8217;yu kullanal\u0131m.  \u00d6rne\u011fin, b\u00fcy\u00fck bir g\u00f6r\u00fcnt\u00fc veri k\u00fcmesi \u00fczerinde bir derin \u00f6\u011frenme modeli e\u011fitmek istiyoruz.  Bu i\u015flem, CPU&#8217;larda \u00e7ok uzun s\u00fcrebilirken, uygun bir GPU ile \u00f6nemli \u00f6l\u00e7\u00fcde h\u0131zland\u0131r\u0131labilir.  \u00d6ncelikle, y\u00fcksek bellek kapasitesine sahip bir GPU&#8217;lu bir VM \u00f6rne\u011fi olu\u015ftururuz (\u00f6rne\u011fin, NVIDIA A100). Daha sonra, TensorFlow veya PyTorch gibi bir derin \u00f6\u011frenme \u00e7er\u00e7evesi kullanarak modelimizi e\u011fitiriz.  GPU&#8217;nun paralel i\u015flem yetenekleri sayesinde, e\u011fitim s\u00fcresi \u00f6nemli \u00f6l\u00e7\u00fcde k\u0131salacakt\u0131r.  Bu i\u015flem, maliyet a\u00e7\u0131s\u0131ndan da daha etkili olacakt\u0131r. Google Cloud&#8217;un sundu\u011fu \u00f6l\u00e7eklenebilirlik sayesinde, daha b\u00fcy\u00fck veri k\u00fcmeleri i\u00e7in daha fazla GPU&#8217;lu VM \u00f6rnekleri ekleyerek e\u011fitimi daha da h\u0131zland\u0131rabiliriz.<\/p>\n<h2>\u00d6\u011frenme Yol Haritas\u0131<\/h2>\n<ul>\n<li><strong>Yeni Ba\u015flayan:<\/strong>  Bu makaledeki temel kavramlar\u0131 \u00f6\u011frenin ve basit bir GPU \u00f6rne\u011fi olu\u015fturmay\u0131 deneyin.<\/li>\n<li><strong>Orta Seviye:<\/strong>  Farkl\u0131 makine ailelerini kar\u015f\u0131la\u015ft\u0131r\u0131n ve uygulaman\u0131z i\u00e7in en uygun olan\u0131 se\u00e7in.  GPU performans\u0131n\u0131 optimize etmek i\u00e7in baz\u0131 temel teknikleri uygulay\u0131n.<\/li>\n<li><strong>\u0130leri D\u00fczey:<\/strong>  Preemtible VM \u00f6rnekleri, GPU k\u00fcmeleme ve daha karma\u015f\u0131k optimizasyon tekniklerini ke\u015ffedin.<\/li>\n<\/ul>\n<h2>Sonu\u00e7<\/h2>\n<p>Google Cloud Compute Engine, y\u00fcksek performansl\u0131 hesaplama gereksinimleri i\u00e7in \u00e7e\u015fitli GPU&#8217;lar ve makine aileleri sunar.  Do\u011fru GPU ve makine ailesini se\u00e7mek, uygulaman\u0131z\u0131n performans\u0131n\u0131 ve maliyetini \u00f6nemli \u00f6l\u00e7\u00fcde etkiler.  Bu makalede ele ald\u0131\u011f\u0131m\u0131z bilgiler, Google Cloud&#8217;da GPU&#8217;lar\u0131 etkili bir \u015fekilde kullanman\u0131za yard\u0131mc\u0131 olacakt\u0131r.  Daha fazla bilgi i\u00e7in (https:\/\/fatihsoysal.com) inceleyebilirsiniz.<\/p>\n<h3>S\u0131k\u00e7a Sorulan Sorular<\/h3>\n<ul>\n<li><strong>GPU&#8217;lar CPU&#8217;lardan nas\u0131l farkl\u0131d\u0131r?<\/strong> GPU&#8217;lar, paralel hesaplamada CPU&#8217;lardan \u00e7ok daha g\u00fc\u00e7l\u00fcd\u00fcr.  Bu nedenle, \u00f6zellikle grafik i\u015fleme ve makine \u00f6\u011frenmesi gibi paralel i\u015flem gerektiren g\u00f6revlerde daha etkilidirler.<\/li>\n<li><strong>Hangi makine ailesini se\u00e7meliyim?<\/strong>  Uygulaman\u0131z\u0131n gereksinimlerine ba\u011fl\u0131d\u0131r.  Y\u00fcksek performans gerektiren uygulamalar i\u00e7in g2 veya g3 ailelerini, maliyet etkin \u00e7\u00f6z\u00fcmler i\u00e7in a2 ailesini tercih edebilirsiniz.<\/li>\n<li><strong>GPU performans\u0131n\u0131 nas\u0131l optimize ederim?<\/strong>  Uygulama kodunuzu optimize edin, do\u011fru GPU s\u00fcr\u00fcc\u00fclerini kullan\u0131n ve GPU&#8217;nun yeteneklerini anlay\u0131n.<\/li>\n<li><strong>Preemtible VM \u00f6rnekleri nedir?<\/strong>  Preemtible VM \u00f6rnekleri, d\u00fc\u015f\u00fck maliyetli ancak beklenmedik bir anda sonland\u0131r\u0131labilen VM \u00f6rnekleridir.<\/li>\n<li><strong>Google Cloud&#8217;da GPU kullanman\u0131n maliyeti nedir?<\/strong>  Maliyet, kullan\u0131lan GPU t\u00fcr\u00fc, makine ailesi ve kullan\u0131m s\u00fcresine ba\u011fl\u0131 olarak de\u011fi\u015fir.  Google Cloud fiyatland\u0131rma sayfas\u0131ndan detayl\u0131 bilgi alabilirsiniz.<\/li>\n<\/ul>\n<p>Yazar: Fatih Soysal<\/p>\n","protected":false},"excerpt":{"rendered":"Google Cloud Compute Engine: GPU ve Makine Aileleri Google Cloud Platform&#8217;da (GCP) y\u00fcksek performansl\u0131 hesaplama gerektiren i\u015fler i\u00e7in&hellip;","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-27954","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Google Cloud Compute Engine: GPU ve Makine Aileleri<\/title>\n<meta name=\"description\" content=\"Google Cloud Platform&#039;da (GCP) y\u00fcksek performansl\u0131 hesaplama gerektiren i\u015fler i\u00e7in Grafik \u0130\u015flem \u00dcniteleri (GPU) olmazsa olmazd\u0131r. Ancak, GCP&#039;nin sundu\u011fu \u00e7ok say\u0131da makine ailesi ve GPU se\u00e7ene\u011fi aras\u0131nda do\u011fru olan\u0131 se\u00e7mek zor olabilir. Bu makalede, Google Cloud Compute Engine&#039;deki GPU&#039;lar ve \u00e7e\u015fitli makine aileleri hakk\u0131nda kapsaml\u0131 bir rehber sunuyor, ger\u00e7ek d\u00fcnya senaryolar\u0131yla destekliyoruz. Veri bilimi, makine \u00f6\u011frenmesi, oyun geli\u015ftirme ve grafik tasar\u0131m gibi alanlarda GPU&#039;lar\u0131n g\u00fcc\u00fcnden nas\u0131l yararlanabilece\u011finizi ad\u0131m ad\u0131m \u00f6\u011freneceksiniz.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/google-cloud-compute-engine-gpu-ve-makine-aileleri\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google Cloud Compute Engine: GPU ve Makine Aileleri\" \/>\n<meta property=\"og:description\" content=\"Google Cloud Platform&#039;da (GCP) y\u00fcksek performansl\u0131 hesaplama gerektiren i\u015fler i\u00e7in Grafik \u0130\u015flem \u00dcniteleri (GPU) olmazsa olmazd\u0131r. Ancak, GCP&#039;nin sundu\u011fu \u00e7ok say\u0131da makine ailesi ve GPU se\u00e7ene\u011fi aras\u0131nda do\u011fru olan\u0131 se\u00e7mek zor olabilir. Bu makalede, Google Cloud Compute Engine&#039;deki GPU&#039;lar ve \u00e7e\u015fitli makine aileleri hakk\u0131nda kapsaml\u0131 bir rehber sunuyor, ger\u00e7ek d\u00fcnya senaryolar\u0131yla destekliyoruz. 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