{"id":8487,"date":"2024-07-18T12:42:43","date_gmt":"2024-07-18T09:42:43","guid":{"rendered":"https:\/\/gtmteknoloji.com\/b2b\/?p=8487"},"modified":"2024-07-18T13:02:23","modified_gmt":"2024-07-18T10:02:23","slug":"amd-zen-5-mimarisi-ve-xdna-2-duyuruldu","status":"publish","type":"post","link":"https:\/\/gtmteknoloji.com\/b2b\/2024\/07\/18\/amd-zen-5-mimarisi-ve-xdna-2-duyuruldu\/","title":{"rendered":"AMD Zen 5 Mimarisi ve XDNA 2 Duyuruldu"},"content":{"rendered":"\t\t
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AMD’nin 2024 Teknoloji G\u00fcn\u00fc, en son geli\u015fmelerin ard\u0131ndaki ayr\u0131nt\u0131lar\u0131 ortaya koydu ve \u00f6zellikle en son Zen 5 CPU ve XDNA AI merkezli mimarileriyle ilgili \u00e7ok fazla konuyu ele ald\u0131. Bu etkinlik, AMD’nin AI verimlili\u011fini, g\u00fc\u00e7 performans\u0131n\u0131 ve birden fazla uygulamada sorunsuz entegrasyonu devrim niteli\u011finde de\u011fi\u015ftirme vizyonunu vurgulayarak, y\u00fcksek performansl\u0131 bilgi i\u015flem sekt\u00f6r\u00fcndeki liderli\u011fini yeniden teyit etti.<\/span><\/p>

Microsoft ile stratejik i\u015f birli\u011fi, AMD’nin AI PC deneyimlerindeki liderli\u011fi i\u00e7in sahneyi haz\u0131rlad\u0131 ve \u00e7ok \u00e7e\u015fitli uygulamalarda benzeri g\u00f6r\u00fclmemi\u015f verimlilik, performans ve entegrasyon sa\u011flad\u0131. 192 \u00e7ekirde\u011fe ve 384 i\u015f par\u00e7ac\u0131\u011f\u0131na kadar 5. Nesil EPYC CPU’lar, g\u00fc\u00e7 verimlili\u011finde ve AI h\u0131zland\u0131rmada \u00f6nemli kazan\u0131mlar vaat ediyor. Geli\u015fmi\u015f dal tahmini, \u00e7ift kod \u00e7\u00f6zme kanallar\u0131 ve yeni bir Matematik H\u0131zland\u0131rma Birimi ile AMD, Zen 5’in selefine k\u0131yasla tek \u00e7ekirdekli AES-XTS performans\u0131nda %35 iyile\u015ftirme ve makine \u00f6\u011frenimi g\u00f6revlerinde %32 art\u0131\u015f sa\u011flad\u0131\u011f\u0131n\u0131 s\u00f6yl\u00fcyor. AMD, i\u015flem g\u00fcc\u00fc ve verimlili\u011fin s\u0131n\u0131rlar\u0131n\u0131 zorlamaya devam ederken, Zen 5 mimarisi veri merkezi ve sunucu pazarlar\u0131nda devrim yaratmaya haz\u0131r duruyor.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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AMD Zen 5 mimarisi, AMD’nin masa\u00fcst\u00fc, sunucu, istemci ve g\u00f6m\u00fcl\u00fc uygulamalar i\u00e7in \u00f6zel olarak tasarlanm\u0131\u015f \u00fcr\u00fcnler yaratmas\u0131na olanak tan\u0131yan yenilik\u00e7i bir mod\u00fcler tasar\u0131m kullan\u0131r. 4nm ve 3nm i\u015flem teknolojilerini birle\u015ftirmek, Zen5 tabanl\u0131 \u00fcr\u00fcnlerin \u00e7e\u015fitli kullan\u0131m durumlar\u0131nda optimize edilmi\u015f performans ve g\u00fc\u00e7 verimlili\u011fi sunmas\u0131n\u0131 sa\u011flar.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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AMD Zen 5<\/span><\/h2>

AMD’nin 2024 Tech Day’deki sunumunda Mark Papermaster, Zen 5 mimarisindeki \u00f6nemli geli\u015fmeleri, \u00f6zellikle de 5. Nesil EPYC CPU’lar\u0131n\u0131 tan\u0131tt\u0131. 2024’\u00fcn ikinci yar\u0131s\u0131nda piyasaya s\u00fcr\u00fclecek olan EPYC serisi, sunucu ve veri merkezi pazarlar\u0131nda yo\u011funluk ve performans \u00f6l\u00e7\u00fcmlerini u\u00e7 noktalara ta\u015f\u0131yarak e\u015fsiz performans ve verimlilik sunmay\u0131 vaat ediyor.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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5. Nesil EPYC CPU’lar \u00e7ekirdek say\u0131s\u0131n\u0131 ve i\u015f par\u00e7ac\u0131\u011f\u0131 kapasitesini \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rd\u0131. Bu geli\u015ftirmeler, TSMC ile devam eden ortakl\u0131k ve optimize edilmi\u015f bir metal y\u0131\u011f\u0131n sayesinde m\u00fcmk\u00fcn olan g\u00fc\u00e7 verimlili\u011findeki iyile\u015ftirmeleri de i\u00e7eriyor. \u0130kincisi, termal ve elektriksel performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rd\u0131. Mimari, Zen 4’e k\u0131yasla tek \u00e7ekirdekli AES-XTS performans\u0131nda %35’e kadar ve tek \u00e7ekirdekli makine \u00f6\u011frenimi g\u00f6revlerinde %32’ye kadar iyile\u015ftirme vaat eden yeni bir Matematik H\u0131zland\u0131rma Birimi sunarak geli\u015fmi\u015f AI h\u0131zland\u0131rmas\u0131ndan yararlan\u0131yor.<\/span><\/p>

Zen 5’teki mimari geli\u015fmeler kapsaml\u0131d\u0131r. Talimat alma ve kod \u00e7\u00f6zme a\u015famalar\u0131, gecikmeyi azaltmak ve do\u011frulu\u011fu art\u0131rmak i\u00e7in geli\u015fmi\u015f dal tahmini ve \u00e7ift kod \u00e7\u00f6zme kanallar\u0131yla geli\u015ftirilmi\u015ftir. Tamsay\u0131 y\u00fcr\u00fctme birimleri, daha b\u00fcy\u00fck bir y\u00fcr\u00fctme penceresi i\u00e7inde 8 geni\u015fli\u011finde da\u011f\u0131t\u0131m\/emeklilik yetenekleri ve daha birle\u015fik bir ALU zamanlay\u0131c\u0131s\u0131 ile \u00f6nemli bir y\u00fckseltme g\u00f6rmektedir. Y\u00fckleme\/depolama geli\u015fmeleri, hem L1 \u00f6nbelle\u011fine hem de Kayan Nokta Birimine maksimum bant geni\u015fli\u011finin iki kat\u0131 olan 48 KB 12 yollu L1 veri \u00f6nbelle\u011fini i\u00e7erir; bu, veri a\u011f\u0131rl\u0131kl\u0131 i\u015flemler i\u00e7in \u00e7ok \u00f6nemlidir.<\/span><\/p>

Zen 5 mimarisi ayr\u0131ca veri bant geni\u015fli\u011finde \u00f6nemli iyile\u015ftirmeler i\u00e7erir. 48KB 12 yollu L1 veri \u00f6nbelle\u011fiyle y\u00fckleme\/depolama geli\u015ftirmeleri, veri yo\u011fun i\u015flemler i\u00e7in olmazsa olmaz olan L1 \u00f6nbelle\u011fine ve Kayan Nokta Birimine iki kat fazla bant geni\u015fli\u011fi sa\u011flar. Mimarinin AVX-512 ve tam 512 bit veri yoluyla u\u00e7u\u015f halinde daha fazla say\u0131da kayan nokta talimat\u0131n\u0131 i\u015fleme yetene\u011fi, AI ve vekt\u00f6r i\u015f y\u00fcklerinde \u00f6nemli performans kazan\u0131mlar\u0131 sa\u011flar.<\/span><\/p>

Kayan nokta ve vekt\u00f6r matematik birimi y\u00fcr\u00fctme de \u00f6nemli iyile\u015ftirmeler g\u00f6rd\u00fc. Tam 512 bit veri yolu ve alt\u0131 boru hatt\u0131na (kayan nokta ekleme i\u015flemleri i\u00e7in iki \u00e7evrim gecikmesi sunar) sahip AVX-512, e\u015f zamanl\u0131 kayan nokta talimatlar\u0131n\u0131 y\u00f6netme yetene\u011fini \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131r\u0131r. Bu, \u00f6zellikle vekt\u00f6r ve AI i\u015f y\u00fcklerine fayda sa\u011flar ve makine \u00f6\u011frenimi ve veri yo\u011fun g\u00f6revlerde \u00f6nemli performans iyile\u015ftirmeleri sa\u011flar. Bu, AMD’nin 512 bit performans elde etmek i\u00e7in 256 bit yolu “\u00e7ift pompalad\u0131\u011f\u0131” Zen 4 ile tezat olu\u015fturur.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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XDNA<\/span><\/h2>

Yapay Zeka Grubu K\u0131demli Ba\u015fkan Yard\u0131mc\u0131s\u0131 Vamsi Boppana, AMD’nin yeni AI merkezli mimarisinin d\u00f6n\u00fc\u015ft\u00fcr\u00fcc\u00fc potansiyelini \u00f6zetledi. AI i\u015f y\u00fcklerinin \u00fcstel b\u00fcy\u00fcmesi ve uzmanla\u015fmas\u0131 yenilik\u00e7i hesaplama mimarileri gerektiriyor ve AMD’nin buna cevab\u0131 XDNA 2 mimarisinin tan\u0131t\u0131m\u0131 oldu.<\/span><\/p>

Bu yenili\u011fin merkezinde, ileti\u015fim, 5G da\u011f\u0131t\u0131m\u0131, savunma radar sinyali i\u015fleme, 3B bak\u0131\u015f a\u00e7\u0131lar\u0131 i\u00e7in ger\u00e7ek zamanl\u0131 yay\u0131n AI i\u015fleme ve sa\u011fl\u0131k g\u00f6r\u00fcnt\u00fc i\u015fleme gibi \u00e7e\u015fitli AI ve DSP uygulamalar\u0131ndaki miras\u0131yla bilinen AMD XDNA mimarisi yer almaktad\u0131r. Mimari, geleneksel sabit hesaplama ve \u00f6nbelle\u011fe dayal\u0131 bellek hiyerar\u015filerinden daha esnek, uyarlanabilir bir modele ge\u00e7iyor. Bu mekansal yeniden yap\u0131land\u0131r\u0131labilirlik ve d\u00f6\u015fenmi\u015f veri ak\u0131\u015f\u0131 mimarisi, verimli \u00e7oklu g\u00f6rev ve garantili ger\u00e7ek zamanl\u0131 performans sa\u011fl\u0131yor.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Sunumda, AI i\u015f y\u00fckleri i\u00e7in y\u00fcksek verimlilik ve performans sunmak \u00fczere tasarlanm\u0131\u015f entegre NPU’lu AMD’nin x86 i\u015flemcisi vurguland\u0131. 3. Nesil AMD Ryzen AI i\u015flemcileri, NPU yeteneklerinde \u00f6nemli ilerlemeler sunarak 50 TOPS’a (Saniyede Trilyonlarca \u0130\u015flem) kadar ula\u015f\u0131yor ve 12’ye kadar CPU \u00e7ekirde\u011fi ve 16 GPU hesaplama birimi i\u00e7eriyor. Bu i\u015flemciler, Adobe, Black Magic ve Topaz Labs gibi platformlarda 100’den fazla AI odakl\u0131 deneyimi destekleyecek \u015fekilde ayarland\u0131 ve bu da onlar\u0131 yeni nesil AI PC deneyimlerinin merkezi haline getiriyor.<\/span><\/p>

XDNA 2 mimarisi i\u00e7indeki AI motoru, INT8 ve Block FP16 gibi \u00e7e\u015fitli veri t\u00fcrleri i\u00e7in geli\u015fmi\u015f destek i\u00e7erir ve bu da \u00e7e\u015fitli AI uygulamalar\u0131 genelinde y\u00fcksek performans ve do\u011fruluk sa\u011flar. Uyarlanabilir AI mimarisi, AMD’nin \u00fcr\u00fcn portf\u00f6y\u00fc genelinde \u00f6l\u00e7eklenebilir entegrasyona olanak tan\u0131r, mekansal yeniden yap\u0131land\u0131r\u0131labilirlik ve d\u00f6\u015fenmi\u015f veri ak\u0131\u015f\u0131 mimarisi arac\u0131l\u0131\u011f\u0131yla verimli \u00e7oklu g\u00f6rev ve garantili ger\u00e7ek zamanl\u0131 performans sunar.<\/span><\/p>

\u00d6zellikle FP16 blo\u011fu, neredeyse hi\u00e7 do\u011fruluk kayb\u0131 olmadan FP32 modelleri i\u00e7in an\u0131nda de\u011fi\u015ftirme olana\u011f\u0131 sunarak g\u00f6r\u00fcnt\u00fc olu\u015fturma, dil modelleri ve ger\u00e7ek zamanl\u0131 ses ve video i\u015fleme gibi g\u00f6revler i\u00e7in olduk\u00e7a verimli hale getiriyor.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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\u00d6ne \u00e7\u0131kan \u00f6zelliklerden biri, XDNA yap\u0131s\u0131n\u0131 \u00e7al\u0131\u015fma zaman\u0131nda yap\u0131land\u0131rma yetene\u011fidir. Bu, farkl\u0131 boyutlarda birden fazla modeli ayn\u0131 anda \u00e7al\u0131\u015ft\u0131rmak i\u00e7in veri yollar\u0131 ve NPU’nun segmentasyonu konusunda esneklik sa\u011flar. Ayr\u0131ca, geli\u015fmi\u015f \u00fcretkenlik ve s\u00fcr\u00fckleyici i\u015f birli\u011fi i\u00e7in Copilot+ gibi AI destekli deneyimler sunma esnekli\u011fi de sa\u011flar. Birle\u015fik AI yaz\u0131l\u0131m y\u0131\u011f\u0131n\u0131n\u0131 AMD’nin CPU, GPU ve NPU bile\u015fenleri aras\u0131nda entegre etmek, geni\u015f model deste\u011fi ve optimize edilmi\u015f performans sa\u011flayarak geli\u015ftiricilerin binlerce AI modelini h\u0131zl\u0131 ve etkili bir \u015fekilde da\u011f\u0131tmas\u0131n\u0131 kolayla\u015ft\u0131r\u0131r.<\/span><\/p>

AMD XDNA 2 mimarisi, AI teknolojisinde \u00f6nemli bir s\u0131\u00e7ramay\u0131 g\u00f6stermektedir. Sekize kadar e\u015f zamanl\u0131 mekansal ak\u0131\u015fla, \u00f6nceki nesillerin g\u00fc\u00e7 verimlili\u011fini iki kat\u0131na \u00e7\u0131kar\u0131r. Bu, AMD’nin \u00e7\u00f6z\u00fcm\u00fcn\u00fc g\u00fc\u00e7l\u00fc ve olduk\u00e7a verimli hale getirerek, PC’lerde ve \u00f6tesinde AI uygulamalar\u0131n\u0131n yeni bir d\u00f6neminin yolunu a\u00e7ar.<\/span><\/p>

3. Nesil AMD Ryzen AI i\u015flemciler ayr\u0131ca yeni G\u00fcvenilir G\/\u00c7 yeteneklerini sunarak geli\u015fmi\u015f g\u00fcvenlik \u00f6zelli\u011fine sahiptir. Bu g\u00fcvenlik iyile\u015ftirmesi, hassas verileri korumak ve AI odakl\u0131 uygulamalarda g\u00fcvenilir performans\u0131 garantilemek i\u00e7in \u00f6nemlidir ve AMD’nin g\u00fcvenli ve verimli AI \u00e7\u00f6z\u00fcmlerine olan ba\u011fl\u0131l\u0131\u011f\u0131n\u0131 g\u00fc\u00e7lendirir.<\/span><\/p>

XDNA 2 mimarisi i\u00e7indeki AI motoru, INT8 ve Block FP16 gibi \u00e7e\u015fitli veri t\u00fcrleri i\u00e7in geli\u015fmi\u015f destek i\u00e7erir ve bu da \u00e7e\u015fitli AI uygulamalar\u0131 genelinde y\u00fcksek performans ve do\u011fruluk sa\u011flar. Uyarlanabilir AI mimarisi, AMD’nin \u00fcr\u00fcn portf\u00f6y\u00fc genelinde \u00f6l\u00e7eklenebilir entegrasyona olanak tan\u0131r, mekansal yeniden yap\u0131land\u0131r\u0131labilirlik ve d\u00f6\u015fenmi\u015f veri ak\u0131\u015f\u0131 mimarisi arac\u0131l\u0131\u011f\u0131yla verimli \u00e7oklu g\u00f6rev ve garantili ger\u00e7ek zamanl\u0131 performans sunar.<\/p>

\u00d6zellikle FP16 blo\u011fu, neredeyse hi\u00e7 do\u011fruluk kayb\u0131 olmadan FP32 modelleri i\u00e7in an\u0131nda de\u011fi\u015ftirme olana\u011f\u0131 sunarak g\u00f6r\u00fcnt\u00fc olu\u015fturma, dil modelleri ve ger\u00e7ek zamanl\u0131 ses ve video i\u015fleme gibi g\u00f6revler i\u00e7in olduk\u00e7a verimli hale getiriyor.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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AMD Zen 5 ve XDNA 2 \u00d6zellikleri<\/span><\/strong><\/h2>
Zen 5 Mimarisi<\/span><\/strong><\/td><\/tr>
\u00d6zellik<\/span><\/strong><\/td>Detaylar<\/span><\/strong><\/td><\/tr>
\u0130\u015flem teknolojisi<\/span><\/td>4nm ve 3nm<\/span><\/td><\/tr>
\u00c7ekirdek Say\u0131s\u0131<\/span><\/td>192 \u00e7ekirde\u011fe kadar<\/span><\/td><\/tr>
Konu Say\u0131s\u0131<\/span><\/td>384’e kadar i\u015f par\u00e7ac\u0131\u011f\u0131<\/span><\/td><\/tr>
\u00d6nbellek<\/span><\/td>48KB 12 yollu L1 veri \u00f6nbelle\u011fi<\/span><\/td><\/tr>
Bant geni\u015fli\u011fi<\/span><\/td>L1 \u00f6nbelle\u011fine ve Kayan Nokta Birimine maksimum bant geni\u015fli\u011fini iki kat\u0131na \u00e7\u0131kar\u0131n<\/span><\/td><\/tr>
Tamsay\u0131 Y\u00fcr\u00fctme<\/span><\/td>8-geni\u015f sevk\/emeklilik, 6 ALU, 3 \u00e7arpan<\/span><\/td><\/tr>
Kayan Nokta Y\u00fcr\u00fctme<\/span><\/td>Tam 512 bit veri yolu, 6 boru hatt\u0131na sahip AVX-512<\/span><\/td><\/tr>
Yapay Zeka H\u0131zland\u0131rma<\/span><\/td>Yeni Matematik H\u0131zland\u0131rma \u00dcnitesi<\/span><\/td><\/tr>
IPC Y\u00fckseltme<\/span><\/td>Zen 4’e g\u00f6re ortalama %16 IPC art\u0131\u015f\u0131<\/span><\/td><\/tr>
Performans Kazan\u0131mlar\u0131<\/span><\/td>Tek \u00e7ekirdekli AES-XTS’de %35 iyile\u015ftirme, makine \u00f6\u011frenimi g\u00f6revlerinde %32 art\u0131\u015f<\/span><\/td><\/tr>
G\u00fc\u00e7 verimlili\u011fi<\/span><\/td>Geli\u015ftirilmi\u015f metal y\u0131\u011f\u0131n ile performans\/watt i\u00e7in optimize edilmi\u015ftir<\/span><\/td><\/tr>
\u00dcr\u00fcn Uygulamalar\u0131<\/span><\/td>Masa\u00fcst\u00fc, mobil, sunucu ve veri merkezi<\/span><\/td><\/tr>
XDNA 2 Mimarisi<\/span><\/strong><\/td><\/tr>
AI Motoru Fayanslar\u0131<\/span><\/td>32’ye kadar<\/span><\/td><\/tr>
AI Performans\u0131<\/span><\/td>50 TOPS’a kadar<\/span><\/td><\/tr>
\u00c7ekirdek Say\u0131s\u0131<\/span><\/td>12 adede kadar CPU \u00e7ekirde\u011fi<\/span><\/td><\/tr>
GPU Hesaplama Birimleri<\/span><\/td>16’ya kadar<\/span><\/td><\/tr>
Desteklenen Veri T\u00fcrleri<\/span><\/td>INT8, Blok FP16<\/span><\/td><\/tr>
Yeterlik<\/span><\/td>\u00d6nceki nesle k\u0131yasla 2 kat g\u00fc\u00e7 verimlili\u011fi<\/span><\/td><\/tr>
E\u015fzamanl\u0131 Ak\u0131\u015flar<\/span><\/td>8’e kadar<\/span><\/td><\/tr>
G\u00fcvenlik<\/span><\/td>Yeni G\u00fcvenilir IO yetenekleri<\/span><\/td><\/tr>
Yaz\u0131l\u0131m y\u0131\u011f\u0131n\u0131<\/span><\/td>CPU, GPU ve NPU genelinde birle\u015fik AI yaz\u0131l\u0131m y\u0131\u011f\u0131n\u0131<\/span><\/td><\/tr>
Ger\u00e7ek zamanl\u0131 Performans<\/span><\/td>Mekansal mimari ile garantili ger\u00e7ek zamanl\u0131 performans<\/span><\/td><\/tr>
Uygulamalar<\/span><\/td>Oyun, e\u011flence, ki\u015fisel yapay zeka yard\u0131m\u0131, i\u00e7erik olu\u015fturma, kurumsal \u00fcretkenlik<\/span><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Curve Shaper ile Zen 5 Masa\u00fcst\u00fc H\u0131z A\u015f\u0131rtma<\/span><\/h2>

Ryzen 7000 serisinin ay\u0131rt edici bir \u00f6zelli\u011fi olan AMD’nin Curve Optimizer’\u0131, kullan\u0131c\u0131lar\u0131n PMFW\/PBO’ya duyarl\u0131 dinamik voltaj \u00f6l\u00e7eklemesini veya voltaj azaltmas\u0131n\u0131 etkinle\u015ftirmesine olanak tan\u0131r. Bu g\u00fc\u00e7l\u00fc ara\u00e7, ayarlanabilir “Curve Optimizer” ad\u0131mlar\u0131yla voltaj e\u011frisini dinamik olarak kayd\u0131r\u0131r ve frekans spektrumu boyunca de\u011fi\u015fken voltaj sa\u011flar, daha y\u00fcksek frekanslarda daha fazla voltaj tahsis edilir. Kullan\u0131c\u0131lar bu optimizasyonu \u00e7ekirdek ba\u015f\u0131na, CCD ba\u015f\u0131na veya CPU ba\u015f\u0131na uygulayabilir ve b\u00f6ylece CPU’lar\u0131n\u0131n performans\u0131 ve verimlili\u011fi \u00fczerinde ayr\u0131nt\u0131l\u0131 kontrol sa\u011flayabilir.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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AMD, Curve Optimizer’\u0131n temelleri \u00fczerine in\u015fa ederek, kullan\u0131c\u0131lar\u0131n alt voltaj e\u011frilerini yeniden \u015fekillendirerek alt voltaj potansiyelini en \u00fcst d\u00fczeye \u00e7\u0131karmas\u0131n\u0131 sa\u011flayan geli\u015fmi\u015f bir geli\u015ftirme olan Curve Shaper’\u0131 sunar. Curve Shaper, selefiyle ayn\u0131 ad\u0131mlar\u0131 kullan\u0131r. Yine de, kullan\u0131c\u0131lara 15 ayr\u0131 frekans-s\u0131cakl\u0131k band\u0131ndan (\u00fc\u00e7 s\u0131cakl\u0131k band\u0131 ve be\u015f frekans band\u0131) ad\u0131mlar\u0131 se\u00e7meli olarak ekleme veya \u00e7\u0131karma esnekli\u011fi sa\u011flar. Bu ince ayar yetene\u011fi, kullan\u0131c\u0131lar\u0131n dengesizliklerin g\u00f6zlemlendi\u011fi alanlarda voltaj eklerken, kararl\u0131 bantlardaki voltaj\u0131 daha da d\u00fc\u015f\u00fcrmelerine olanak tan\u0131r. Yeniden \u015fekillendirilen e\u011fri, Curve Optimizer kullan\u0131larak daha fazla ayarlanabilen t\u00fcm \u00e7ekirdeklere e\u015fit olarak uygulan\u0131r.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Kapan\u0131\u015f D\u00fc\u015f\u00fcnceleri<\/span><\/h2>

AMD Tech Day 2024, \u00fcr\u00fcnlerin arkas\u0131ndaki m\u00fchendislerle derinlemesine bir g\u00f6r\u00fc\u015fme yapma f\u0131rsat\u0131na sahip oldu\u011fumuz harika bir etkinlikti. AMD’nin XDNA 2 mimarisi ve Zen 5 CPU’lar\u0131ndaki son geli\u015fmeleri, AI ve y\u00fcksek performansl\u0131 bilgi i\u015flem devrimine \u00f6nc\u00fcl\u00fck etme taahh\u00fcd\u00fcn\u00fc vurguluyor. \u00c7ekirdek say\u0131s\u0131, i\u015f par\u00e7ac\u0131\u011f\u0131, g\u00fc\u00e7 verimlili\u011fi ve AI h\u0131zland\u0131rmada \u00e7\u0131\u011f\u0131r a\u00e7an iyile\u015ftirmelerle AMD, end\u00fcstri standartlar\u0131n\u0131 yeniden tan\u0131mlamaya ve masa\u00fcst\u00fc, mobil, sunucu ve veri merkezi uygulamalar\u0131nda kapsaml\u0131 performans sa\u011flayarak modern veri merkezli i\u015f y\u00fcklerinin artan taleplerini kar\u015f\u0131lamaya haz\u0131rlan\u0131yor.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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AMD’nin 2024 Tech Day’deki sunumunda Mark Papermaster, Zen 5 mimarisindeki \u00f6nemli geli\u015fmeleri, \u00f6zellikle de 5. Nesil EPYC CPU’lar\u0131n\u0131 tan\u0131tt\u0131. 2024’\u00fcn ikinci yar\u0131s\u0131nda piyasaya s\u00fcr\u00fclecek olan EPYC serisi, sunucu ve veri merkezi pazarlar\u0131nda yo\u011funluk ve performans \u00f6l\u00e7\u00fcmlerini u\u00e7 noktalara ta\u015f\u0131yarak e\u015fsiz performans ve verimlilik sunmay\u0131 vaat ediyor.<\/p>\n","protected":false},"author":1,"featured_media":8489,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[102],"tags":[1680,1677,1681,1679,1678],"class_list":["post-8487","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-haber","tag-5th-gen-epyc-cpu","tag-amd","tag-amd-epyc-gen-5","tag-xdna-2","tag-zen5"],"yoast_head":"\nAMD Zen 5 Mimarisi ve XDNA 2 Duyuruldu - GTM Teknoloji<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/gtmteknoloji.com\/b2b\/2024\/07\/18\/amd-zen-5-mimarisi-ve-xdna-2-duyuruldu\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AMD Zen 5 Mimarisi ve XDNA 2 Duyuruldu\" \/>\n<meta property=\"og:description\" content=\"AMD'nin 2024 Tech Day'deki sunumunda Mark Papermaster, Zen 5 mimarisindeki \u00f6nemli geli\u015fmeleri, \u00f6zellikle de 5. 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