{"id":18904,"date":"2025-05-27T13:50:01","date_gmt":"2025-05-27T10:50:01","guid":{"rendered":"https:\/\/lima.com.tr\/?p=18904"},"modified":"2025-05-27T14:20:39","modified_gmt":"2025-05-27T11:20:39","slug":"nvidia-jetson-thor","status":"publish","type":"post","link":"https:\/\/lima.com.tr\/en\/nvidia-jetson-thor\/","title":{"rendered":"Nvidia Jetson Thor"},"content":{"rendered":"
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MIC-743 : Advantech'in Yeni Fiziksel Edge AI Platformu<\/h3>\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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Geleneksel, \u00e7oklu x86 sistemlerini\u00a0 NVIDIA Blackwell<\/strong> GPU tabanl\u0131 tek bir MIC-743<\/strong> platformuyla de\u011fi\u015ftirebilirsiniz. Advantech <\/strong>bu bilgisayar\u0131, fiziksel yapay zeka ve insans\u0131 robotik i\u00e7in ideal, daha y\u00fcksek yapay zeka performans\u0131, daha d\u00fc\u015f\u00fck g\u00fc\u00e7 t\u00fcketimi, daha k\u00fc\u00e7\u00fck karbon ayak izi ve daha h\u0131zl\u0131 kurulum sa\u011flayan bir \u00e7\u00f6z\u00fcm olarak sunuyor. Bilgisayarlarda kullan\u0131lmakta olan GPU ailesi Nvidia Jetson Thor\u2122<\/strong> olarak an\u0131lmaktad\u0131r.<\/p><\/div>\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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<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\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
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"NVIDIA-Jetson-Thor\"\t\t\t\t\t\t\t\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\t\t<\/div>\n\t\t\t\t
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Nvidia Isaac GR00T<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\tJetson Thor\u2122 GPU bilgisayar\u0131, Isaac\u2122 GR00T\u2019un temel yap\u0131 ta\u015flar\u0131ndan biridir.\n\nIsaac\u2122 GR00T ise NVIDIA\u2019n\u0131n insans\u0131 robotik ara\u015ft\u0131rma ve geli\u015ftirmeyi h\u0131zland\u0131rmak i\u00e7in in\u015fa etti\u011fi bir ara\u015ft\u0131rma giri\u015fimi ve geli\u015ftirme platformudur.\nPlatform sim\u00fclasyon \u00e7er\u00e7evesi olarak NVIDIA\u2019nin Omniverse\u2122 ve Cosmos\u2122 teknolojilerini kullanmaktad\u0131r.\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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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"Nvidia-GR00T\"\t\t\t\t\t\t\t\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
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Advantech’in MIC-743 tasar\u0131m\u0131nda Jetson Thor’un MIPI CSI ve di\u011fer y\u00fcksek h\u0131zl\u0131 end\u00fcstriyel protokoller \u00e7e\u015fitli kamera aray\u00fczlerini destekleyen Holoscan sens\u00f6r katman\u0131ndan yararlan\u0131r. Sens\u00f6r verileri; d\u00fc\u015f\u00fck gecikmeli uygulamalar i\u00e7in tasarlanm\u0131\u015f bir Sens\u00f6rden Ethernet’e Ak\u0131\u015f platformu olan NVIDIA Holoscan Sens\u00f6r K\u00f6pr\u00fcs\u00fc \u00fczerinden y\u00f6nlendirilip, sistem kurgusuna ba\u011fl\u0131 olarak 2\u00d710GbE’ye kadar uplink’i destekleyen Advantech’in y\u00fcksek h\u0131zl\u0131 sens\u00f6r anahtar\u0131 \u00fczerinden derlenir.<\/p>\n

Y\u00fcksek verimli a\u011f ileti\u015fimini kullanan kameralardan yararlanan bu mimari, Fiziksel Edge AI uygulamalar\u0131 i\u00e7in kritik \u00f6neme sahip ultra d\u00fc\u015f\u00fck gecikme s\u00fcresi ve verimli veri i\u015flemeyi g\u00fcvenceye al\u0131r.<\/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\t\t<\/div>\n\t\t

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MIC-743, zorlu ortamlarda \u00e7al\u0131\u015facak Edge AI kurumlar\u0131 i\u00e7in \u00f6zel olarak \u00fcretilmi\u015f olup a\u015fa\u011f\u0131daki \u00f6zellikleri sunar:<\/p>

  • 2.070 FP4 TFLOPS<\/strong> AI performans\u0131na sahip NVIDIA Jetson Thor<\/strong> Mod\u00fcl\u00fc<\/li>
  • LLM, VLM’ler ve Vision Transformers gibi \u00fcretken AI modellerini \u00e7al\u0131\u015ft\u0131rabilmek i\u00e7in\u00a0128 GB LPDDR5X<\/strong> bellek.<\/li>
  • Y\u00fcksek bant geni\u015fli\u011fine sahip sens\u00f6r giri\u015fiyle 1 x 100G QSFP28 + 1 x 5GbE LAN<\/strong><\/li>
  • \u00a0Zengin G\/\u00c7<\/strong>: 4 x USB 3.2, HDMI, 4 x CAN, I2C, SIM kart, ses<\/li>
  • Geni\u015fleme Olanaklar\u0131<\/strong>: GMSL2 kamera deste\u011fi, M.2 NVMe, M.2 Wi-Fi, SATA, TPM<\/li><\/ul>\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\t\t<\/div>\n\t\t
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    MIC-743 b\u00fct\u00fcnc\u00fcl bir \u00e7\u00f6z\u00fcm olarak kullan\u0131c\u0131lara bir \u00e7ok avantaj sa\u011flar:<\/p>

    • Sistem karma\u015f\u0131kl\u0131\u011f\u0131n\u0131 ve da\u011f\u0131t\u0131m s\u00fcresini azaltma<\/li>
    • Geleneksel sistemlere k\u0131yasla form fakt\u00f6r\u00fcn\u00fc ve enerji verimlili\u011fini optimize etme<\/li>
    • Az bir m\u00fchendislik \u00e7abas\u0131yla mobil ve end\u00fcstriyel uygulamalar\u0131n gereksinimleri kar\u015f\u0131layabilme<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

      MIC-743 : Advantech’in Yeni Fiziksel Edge AI Platformu Geleneksel, \u00e7oklu x86 sistemlerini\u00a0 NVIDIA Blackwell GPU tabanl\u0131 tek bir MIC-743 platformuyla de\u011fi\u015ftirebilirsiniz. Advantech bu bilgisayar\u0131, fiziksel yapay zeka ve insans\u0131 robotik i\u00e7in ideal, daha y\u00fcksek yapay zeka performans\u0131, daha d\u00fc\u015f\u00fck g\u00fc\u00e7 t\u00fcketimi, daha k\u00fc\u00e7\u00fck karbon ayak izi ve daha h\u0131zl\u0131 kurulum sa\u011flayan bir \u00e7\u00f6z\u00fcm olarak sunuyor. […]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3797],"tags":[3938,4090,3948,4158,3946,4156,4159],"class_list":["post-18904","post","type-post","status-publish","format-standard","hentry","category-yapaygorme","tag-advantech","tag-ai","tag-jetson","tag-mic-743","tag-nvidia","tag-nvidia-jetson-thor","tag-yapay-zeka"],"_links":{"self":[{"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/posts\/18904","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/comments?post=18904"}],"version-history":[{"count":5,"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/posts\/18904\/revisions"}],"predecessor-version":[{"id":18929,"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/posts\/18904\/revisions\/18929"}],"wp:attachment":[{"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/media?parent=18904"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/categories?post=18904"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lima.com.tr\/en\/wp-json\/wp\/v2\/tags?post=18904"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}