{"id":56223,"date":"2026-10-21T10:24:46","date_gmt":"2026-10-21T02:24:46","guid":{"rendered":"https:\/\/ljdevice.com.tw\/?p=56223"},"modified":"2026-10-21T10:24:46","modified_gmt":"2026-10-21T02:24:46","slug":"nvidia-%e3%81%a8%e5%8d%8a%e5%b0%8e%e4%bd%93%e6%a5%ad%e7%95%8c%e3%81%ae%e3%83%aa%e3%83%bc%e3%83%80%e3%83%bc%e3%80%81ai-%e3%83%87%e3%83%95%e3%82%a1%e3%82%a4%e3%83%b3%e3%83%89-%e3%83%95%e3%82%a1%e3%83%96","status":"publish","type":"post","link":"https:\/\/ljdevice.com.tw\/ja\/nvidia-%e3%81%a8%e5%8d%8a%e5%b0%8e%e4%bd%93%e6%a5%ad%e7%95%8c%e3%81%ae%e3%83%aa%e3%83%bc%e3%83%80%e3%83%bc%e3%80%81ai-%e3%83%87%e3%83%95%e3%82%a1%e3%82%a4%e3%83%b3%e3%83%89-%e3%83%95%e3%82%a1%e3%83%96\/","title":{"rendered":"NVIDIA \u3068\u534a\u5c0e\u4f53\u696d\u754c\u306e\u30ea\u30fc\u30c0\u30fc\u3001AI \u30c7\u30d5\u30a1\u30a4\u30f3\u30c9 \u30d5\u30a1\u30d6\u306b\u5411\u3051\u3066\u30c1\u30c3\u30d7\u8a2d\u8a08\u3068\u88fd\u9020\u5168\u4f53\u3067 AI \u306e\u6d3b\u7528\u3092\u63a8\u9032"},"content":{"rendered":"<p>2026\u5e7410\u670815\u65e5<!--more--><\/p>\n<div class=\"pr-img\">\n<figure class=\"pr-img__item--large\"><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/prcdn.freetls.fastly.net\/release_image\/12662\/659\/12662-659-18ea3ea045dd3a954f0ca896db56bedd-3900x2194.jpg?width=1950&amp;height=1350&amp;quality=85%2C65&amp;format=jpeg&amp;auto=webp&amp;fit=bounds&amp;bg-color=fff\" width=\"587\" height=\"330\" \/><figcaption class=\"pr-img__item__caption\"><\/figcaption><\/figure>\n<\/div>\n<p><strong>\u30cb\u30e5\u30fc\u30b9\u6982\u8981\uff1a<\/strong><\/p>\n<ul>\n<li>NVIDIA \u306f\u3001\u539f\u5b50\u3084\u5206\u5b50\u306e\u76f8\u4e92\u4f5c\u7528\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3059\u308b AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u306b\u958b\u767a\u8005\u304c\u6d3b\u7528\u3067\u304d\u308b\u3001\u65b0\u3057\u3044 NVIDIA CUDA-X \u30e9\u30a4\u30d6\u30e9\u30ea cuPotential \u3092\u767a\u8868\u3002\u65e9\u671f\u30a2\u30af\u30bb\u30b9\u306e\u30c6\u30b9\u30c8\u3067\u306f\u3001\u3059\u3067\u306b GPU \u5411\u3051\u306b\u6700\u9069\u5316\u3055\u308c\u305f\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3092\u3055\u3089\u306b 2\uff5e3 \u500d\u9ad8\u901f\u5316<\/li>\n<li>3D \u30c7\u30fc\u30bf\u3092\u6271\u3046\u305f\u3081\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9 \u30e9\u30a4\u30d6\u30e9\u30ea NanoVDB \u304c\u3001AI \u30c7\u30d5\u30a1\u30a4\u30f3\u30c9 \u30d5\u30a1\u30d6\u306e\u534a\u5c0e\u4f53\u88fd\u9020\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u9ad8\u901f\u5316\u3057\u3001Lam Research \u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e 30 \u500d\u9ad8\u901f\u5316\u3092\u652f\u63f4<\/li>\n<li>GPU \u4e0a\u3067\u753b\u50cf\u3092\u51e6\u7406\u3059\u308b\u30e9\u30a4\u30d6\u30e9\u30ea NVIDIA NPP \u304c\u3001AI \u30c7\u30d5\u30a1\u30a4\u30f3\u30c9 \u30d5\u30a1\u30d6\u306e\u534a\u5c0e\u4f53\u88fd\u9020\u691c\u67fb\u3092\u9ad8\u901f\u5316\u3057\u3001KLA \u306e\u691c\u67fb\u306e\u9ad8\u901f\u5316\u3092\u652f\u63f4<\/li>\n<li>Applied Materials\u3001Cadence\u3001KLA\u3001Lam Research\u3001Siemens\u3001Synopsys \u306a\u3069\u306e\u534a\u5c0e\u4f53\u696d\u754c\u306e\u30ea\u30fc\u30c0\u30fc\u304c\u3001\u30c1\u30c3\u30d7\u306e\u8a2d\u8a08\u3001\u88fd\u9020\u3001\u30c6\u30b9\u30c8\u306e\u5168\u5de5\u7a0b\u3067 NVIDIA \u306e\u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30c6\u30c3\u30c9 \u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3068 AI \u30b9\u30bf\u30c3\u30af\u3092\u6d3b\u7528\u3057\u3001\u958b\u767a\u306e\u8fc5\u901f\u5316\u3001\u6b69\u7559\u307e\u308a\u306e\u6539\u5584\u3001\u751f\u7523\u80fd\u529b\u306e\u62e1\u5927\u3092\u63a8\u9032<\/li>\n<\/ul>\n<p>\u30b5\u30f3\u30d5\u30e9\u30f3\u30b7\u30b9\u30b3 \u2014 SEMICON West \u2014 2026 \u5e74 10 \u6708 14 \u65e5 \u2014 NVIDIA \u306f\u672c\u65e5\u3001\u534a\u5c0e\u4f53\u696d\u754c\u306e\u30ea\u30fc\u30c0\u30fc\u304c\u3001AI \u30c7\u30d5\u30a1\u30a4\u30f3\u30c9 \u30d5\u30a1\u30d6\u306e\u5b9f\u73fe\u3092\u63a8\u9032\u3059\u308b\u305f\u3081\u306b <a class=\"pr-link\" href=\"https:\/\/www.nvidia.com\/ja-jp\/technologies\/cuda-x\/\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"348f48be-96b9-45de-8d7c-044f6aa64a51\" data-result-code=\"OK\"><u>NVIDIA CUDA-X<\/u><\/a>\u2122 \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u63a1\u7528\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u767a\u8868\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u306b\u306f\u3001\u539f\u5b50\u3084\u5206\u5b50\u306e\u76f8\u4e92\u4f5c\u7528\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3059\u308b AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306e\u69cb\u7bc9\u306b\u958b\u767a\u8005\u304c\u6d3b\u7528\u3067\u304d\u308b\u3001\u65b0\u3057\u3044 NVIDIA cuPotential \u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/p>\n<p>AI \u30c7\u30d5\u30a1\u30a4\u30f3\u30c9 \u30d5\u30a1\u30d6\u3068\u306f\u3001AI \u304c\u30a8\u30f3\u30b8\u30cb\u30a2\u3092\u652f\u63f4\u3057\u3001\u30d7\u30ed\u30bb\u30b9\u306e\u6700\u9069\u5316\u3001\u751f\u7523\u4e0a\u306e\u8ab2\u984c\u306e\u89e3\u6c7a\u3001\u751f\u7523\u52b9\u7387\u306e\u5411\u4e0a\u3092\u652f\u63f4\u3059\u308b\u534a\u5c0e\u4f53\u5de5\u5834\u3067\u3059\u3002\u9ad8\u5ea6\u306a\u30c1\u30c3\u30d7\u306e\u9700\u8981\u304c\u9ad8\u307e\u308b\u4e2d\u3001\u3053\u3046\u3057\u305f\u5de5\u5834\u306f\u3001\u307e\u3059\u307e\u3059\u8907\u96d1\u5316\u3059\u308b\u88fd\u9020\u30d7\u30ed\u30bb\u30b9\u3092\u7ba1\u7406\u3057\u306a\u304c\u3089\u751f\u7523\u3092\u62e1\u5927\u3057\u306a\u3051\u308c\u3070\u306a\u308a\u307e\u305b\u3093\u3002\u30a8\u30f3\u30b8\u30cb\u30a2\u306b\u306f\u3001\u6750\u6599\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u3001\u691c\u67fb\u30c7\u30fc\u30bf\u306e\u5206\u6790\u3001\u305d\u3057\u3066\u751f\u7523\u73fe\u5834\u306b\u9069\u7528\u3059\u308b\u524d\u306b\u30c7\u30b8\u30bf\u30eb \u30c4\u30a4\u30f3\u3067\u30d7\u30ed\u30bb\u30b9\u5909\u66f4\u3092\u30c6\u30b9\u30c8\u3059\u308b\u305f\u3081\u306e\u65b0\u305f\u306a\u624b\u6cd5\u304c\u5fc5\u8981\u3067\u3059\u3002<\/p>\n<p>\u62e1\u5145\u3055\u308c\u305f CUDA-X \u306e\u30dd\u30fc\u30c8\u30d5\u30a9\u30ea\u30aa\u306f\u3001AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3084\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0 \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u3001\u534a\u5c0e\u4f53\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30013D \u30c7\u30fc\u30bf\u51e6\u7406\u3001\u753b\u50cf\u5206\u6790\u3092\u9ad8\u901f\u5316\u3059\u308b\u30c4\u30fc\u30eb\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30c1\u30c3\u30d7\u8a2d\u8a08\u3068\u88fd\u9020\u5168\u4f53\u3067\u3088\u308a\u591a\u304f\u306e\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u696d\u52d9\u306e\u81ea\u52d5\u5316\u3092\u652f\u63f4\u3057\u3001\u5de5\u5834\u304c\u30d7\u30ed\u30bb\u30b9\u306e\u6319\u52d5\u3092\u4e88\u6e2c\u3057\u3001\u6b69\u7559\u307e\u308a\u3092\u6539\u5584\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/p>\n<p>NVIDIA \u306e\u7523\u696d\u304a\u3088\u3073\u8a08\u7b97\u5de5\u5b66\u62c5\u5f53\u30d0\u30a4\u30b9 \u30d7\u30ec\u30b8\u30c7\u30f3\u30c8\u517c\u30bc\u30cd\u30e9\u30eb \u30de\u30cd\u30fc\u30b8\u30e3\u30fc\u3067\u3042\u308b\u30c6\u30a3\u30e0 \u30b3\u30b9\u30bf (Tim Costa) \u306f\u3001\u6b21\u306e\u3088\u3046\u306b\u8ff0\u3079\u3066\u3044\u307e\u3059\u3002\u300c\u534a\u5c0e\u4f53\u696d\u754c\u306f AI \u9769\u547d\u3092\u53ef\u80fd\u306b\u3057\u307e\u3057\u305f\u3002\u305d\u3057\u3066\u4eca\u3001AI \u304c\u30c1\u30c3\u30d7\u306e\u88fd\u9020\u65b9\u6cd5\u3092\u5909\u9769\u3057\u3066\u3044\u307e\u3059\u3002\u6700\u5148\u7aef\u30c1\u30c3\u30d7\u306e\u9700\u8981\u306b\u5fdc\u3048\u308b\u305f\u3081\u306b\u5de5\u5834\u304c\u5bfe\u5fdc\u3092\u6025\u3050\u4e2d\u3001NVIDIA CUDA-X \u3068 Omniverse \u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u3001\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3068\u691c\u67fb\u3092\u9ad8\u901f\u5316\u3059\u308b\u30c4\u30fc\u30eb\u3092 AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306b\u63d0\u4f9b\u3057\u3001\u30a8\u30f3\u30b8\u30cb\u30a2\u306b\u3088\u308b\u8907\u96d1\u3055\u3078\u306e\u5bfe\u51e6\u3001\u6b69\u7559\u307e\u308a\u306e\u6539\u5584\u3001AI \u30c7\u30d5\u30a1\u30a4\u30f3\u30c9 \u30d5\u30a1\u30d6\u306e\u5b9f\u73fe\u3092\u652f\u63f4\u3057\u307e\u3059\u300d<\/p>\n<p><strong>NVIDIA cuPotential \u304c\u7814\u7a76\u8005\u306b\u3088\u308b\u539f\u5b50\u9593\u76f8\u4e92\u4f5c\u7528\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u3092\u9ad8\u901f\u5316<\/strong><\/p>\n<p>\u539f\u5b50\u3084\u5206\u5b50\u306e\u76f8\u4e92\u4f5c\u7528\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u306f\u3001\u534a\u5c0e\u4f53\u6750\u6599\u3084\u88fd\u9020\u30d7\u30ed\u30bb\u30b9\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u4e0d\u53ef\u6b20\u3067\u3059\u304c\u3001\u3053\u3046\u3057\u305f\u8a08\u7b97\u306b\u306f\u3001\u3059\u3067\u306b GPU \u5411\u3051\u306b\u6700\u9069\u5316\u3055\u308c\u305f\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3067\u3082\u591a\u304f\u306e\u6642\u9593\u3092\u8981\u3059\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>NVIDIA cuPotential \u306f\u3001\u958b\u767a\u8005\u304c\u65e2\u5b58\u306e\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306b\u8ffd\u52a0\u3067\u304d\u308b\u5c02\u7528\u306e GPU \u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30b7\u30e7\u30f3\u6a5f\u80fd\u306b\u3088\u3063\u3066\u3001\u539f\u5b50\u30b9\u30b1\u30fc\u30eb\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u9ad8\u901f\u5316\u3057\u307e\u3059\u3002\u591a\u6570\u306e\u539f\u5b50\u9593\u306b\u50cd\u304f\u96fb\u6c17\u7684\u306a\u529b\u3084\u305d\u306e\u4ed6\u306e\u76f8\u4e92\u4f5c\u7528\u3092\u7814\u7a76\u8005\u304c\u30e2\u30c7\u30eb\u5316\u3059\u308b\u3053\u3068\u3092\u652f\u63f4\u3057\u3001\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u30c6\u30b9\u30c8\u3068\u6539\u826f\u3092\u8fc5\u901f\u5316\u3057\u307e\u3059\u3002Synopsys \u306f\u3001\u6750\u6599\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u9ad8\u901f\u5316\u306b cuPotential \u3092\u6d3b\u7528\u3059\u308b\u65e9\u671f\u63a1\u7528\u4f01\u696d\u306e 1 \u793e\u3067\u3059\u3002<\/p>\n<p>cuPotential \u306f\u3001\u3053\u308c\u3089\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u6a5f\u80fd\u3092 AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u304c\u5229\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u3053\u3068\u3067\u3001\u9ad8\u5ea6\u306a\u5206\u5b50\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u5b9f\u884c\u3001\u8a55\u4fa1\u3001\u53cd\u5fa9\u3092\u652f\u63f4\u3057\u307e\u3059\u3002\u65e9\u671f\u30a2\u30af\u30bb\u30b9\u306e\u30c6\u30b9\u30c8\u3067\u306f\u3001\u3053\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u306b\u3088\u308a\u3001\u3059\u3067\u306b GPU \u5411\u3051\u306b\u6700\u9069\u5316\u3055\u308c\u305f\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u304c\u3055\u3089\u306b 2\uff5e3 \u500d\u9ad8\u901f\u5316\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n<p><strong>\u534a\u5c0e\u4f53\u696d\u754c\u306e\u30ea\u30fc\u30c0\u30fc\u304c NVIDIA CUDA-X \u3067 AI \u30c7\u30d5\u30a1\u30a4\u30f3\u30c9 \u30d5\u30a1\u30d6\u3092\u63a8\u9032<\/strong><\/p>\n<p>AI \u30c7\u30d5\u30a1\u30a4\u30f3\u30c9 \u30d5\u30a1\u30d6\u3067\u306f\u3001\u5909\u66f4\u304c\u91cf\u7523\u6bb5\u968e\u306b\u53cd\u6620\u3055\u308c\u308b\u524d\u306b\u3001\u30c1\u30c3\u30d7\u8a2d\u8a08\u3001\u6750\u6599\u306e\u6319\u52d5\u3001\u88fd\u9020\u30d7\u30ed\u30bb\u30b9\u3092\u3088\u308a\u8fc5\u901f\u306b\u30e2\u30c7\u30eb\u5316\u3059\u308b\u624b\u6cd5\u304c\u5fc5\u8981\u3067\u3059\u3002\u539f\u5b50\u9593\u76f8\u4e92\u4f5c\u7528\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3059\u308b NVIDIA cuPotential\u3001\u96fb\u5b50\u306e\u6319\u52d5\u3092\u30e2\u30c7\u30eb\u5316\u3059\u308b NVIDIA cuEST\u3001\u8907\u96d1\u306a\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0 \u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u89e3\u304f NVIDIA cuDSS \u306a\u3069\u306e NVIDIA CUDA-X \u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u3001\u3053\u308c\u3089\u306e\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u3092\u9ad8\u901f\u5316\u3057\u3001\u5de5\u5834\u306e\u81ea\u5f8b\u6027\u3092\u9ad8\u3081\u308b\u3053\u3068\u3092\u652f\u63f4\u3057\u307e\u3059\u3002<\/p>\n<p>Synopsys \u306f\u3001cuPotential\u3001cuEST\u3001cuDSS \u3092\u6d3b\u7528\u3057\u3066\u534a\u5c0e\u4f53\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u9ad8\u901f\u5316\u3057\u3066\u3044\u307e\u3059\u3002QuantumATK \u306e\u521d\u671f\u7d50\u679c\u3067\u306f\u3001cuEST \u306b\u3088\u308a 30 \u500d\u9ad8\u901f\u5316\u3067\u304d\u308b\u53ef\u80fd\u6027\u304c\u793a\u3055\u308c\u3066\u304a\u308a\u3001S-Device \u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3067\u306f\u3001cuDSS \u306b\u3088\u308a 12 \u500d\u306e\u9ad8\u901f\u5316\u304c\u793a\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u540c\u793e\u306e AgentEngineer \u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u306f\u3001<a class=\"pr-link\" href=\"https:\/\/www.nvidia.com\/ja-jp\/ai-data-science\/foundation-models\/nemotron\/\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"3bd1ab09-34f6-4061-a3d3-d815d4bc17a9\" data-result-code=\"OK\"><u>NVIDIA Nemotron<\/u><\/a>\u2122 \u30aa\u30fc\u30d7\u30f3 \u30e2\u30c7\u30eb\u304a\u3088\u3073 <a class=\"pr-link\" href=\"https:\/\/www.nvidia.com\/ja-jp\/ai-data-science\/products\/nemo\/\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"41be888c-29ac-4cd6-8177-97954c73e777\" data-result-code=\"OK\"><u>NVIDIA NeMo<\/u><\/a>\u2122 \u3068\u76f8\u4e92\u904b\u7528\u3057\u3001\u30c1\u30c3\u30d7\u8a2d\u8a08\u3068\u691c\u8a3c\u306e\u305f\u3081\u306e AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u652f\u63f4\u3057\u307e\u3059\u3002<\/p>\n<p>Cadence \u306f\u3001NVIDIA \u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30c6\u30c3\u30c9 \u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3001NVIDIA Nemotron \u30aa\u30fc\u30d7\u30f3 \u30e2\u30c7\u30eb\u3001CUDA-X \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u6d3b\u7528\u3057\u3001\u534a\u5c0e\u4f53\u304b\u3089\u5148\u7aef\u30d1\u30c3\u30b1\u30fc\u30b8\u30f3\u30b0\u3001\u30d7\u30ea\u30f3\u30c8\u57fa\u677f\u307e\u3067\u3001\u96fb\u6c17\u6a5f\u68b0\u30b7\u30b9\u30c6\u30e0\u306e\u8a2d\u8a08\u3068\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u578b AI \u3092\u5c0e\u5165\u3057\u3066\u3044\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001Cadence AuraStack AI Super Agent \u306f\u3001Cadence Celsius \u3068 cuDSS \u3092\u4f7f\u7528\u3057\u3001\u5148\u7aef\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u71b1\u3068\u5fdc\u529b\u306b\u95a2\u3059\u308b\u6700\u9069\u5316\u3092 8 \u500d\u9ad8\u901f\u306b\u884c\u3044\u307e\u3059\u3002\u307e\u305f\u3001\u534a\u5c0e\u4f53\u306e\u8a2d\u8a08\u3068\u691c\u8a3c\u306b\u306f\u3001ChipStack AI Super Agent \u3068 Nemotron \u3092\u6d3b\u7528\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>COMSOL \u306f\u3001NVIDIA cuDSS \u306b\u3088\u308a\u534a\u5c0e\u4f53\u306e\u30de\u30eb\u30c1 \u30d5\u30a3\u30b8\u30c3\u30af\u30b9 \u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u9ad8\u901f\u5316\u3057\u3001\u6700\u5927 10 \u500d\u9ad8\u901f\u306a\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u5b9f\u73fe\u3059\u308b\u3053\u3068\u3067\u3001\u30a8\u30f3\u30b8\u30cb\u30a2\u306b\u3088\u308b\u88c5\u7f6e\u3068\u30d7\u30ed\u30bb\u30b9\u306e\u6700\u9069\u5316\u3092\u652f\u63f4\u3057\u3066\u3044\u307e\u3059\u3002\u4eca\u5f8c\u63d0\u4f9b\u4e88\u5b9a\u306e COMSOL MCP Server \u306f\u3001NVIDIA Nemotron Ultra \u30aa\u30fc\u30d7\u30f3 \u30e2\u30c7\u30eb\u3092\u4f7f\u7528\u3057\u3001AI \u306b\u3088\u308b\u30e2\u30c7\u30ea\u30f3\u30b0\u652f\u63f4\u3068\u8a2d\u8a08\u63a2\u7d22\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002<\/p>\n<p>Voltai \u306f\u30013D-IC \u306e\u8a2d\u8a08\u3068\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u5411\u3051\u306e\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u578b\u30de\u30eb\u30c1\u30d5\u30a3\u30b8\u30c3\u30af\u30b9 \u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0 Voltaire \u306b\u3088\u308a\u3001\u5148\u7aef\u30c1\u30c3\u30d7\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u30f3\u30b0\u3092\u9ad8\u901f\u5316\u3057\u3066\u3044\u307e\u3059\u3002Voltaire \u306f\u3001AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3068\u3001NVIDIA cuDSS \u304a\u3088\u3073 CUDA-X \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u6d3b\u7528\u3057\u305f GPU \u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30b7\u30e7\u30f3 \u30bd\u30eb\u30d0\u30fc\u3092\u7d44\u307f\u5408\u308f\u305b\u3001\u8907\u96d1\u306a\u96fb\u6c17\u3001\u71b1\u3001\u6a5f\u68b0\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3092\u3001\u6570\u304b\u6708\u304b\u3089 1 \u65e5\u306b\u77ed\u7e2e\u3057\u307e\u3059\u3002<\/p>\n<p>ChipAgents \u306f\u3001NVIDIA \u306e AI \u30a4\u30f3\u30d5\u30e9\u3068\u30e2\u30c7\u30eb \u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u304a\u3088\u3073\u6700\u9069\u5316\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3092\u4f7f\u7528\u3057\u3066\u3001\u30c1\u30c3\u30d7\u8a2d\u8a08\u306b\u7279\u5316\u3057\u305f AI \u30e2\u30c7\u30eb\u3092\u958b\u767a\u3057\u3066\u3044\u307e\u3059\u3002\u540c\u793e\u306f\u307e\u305f\u3001\u4ed5\u69d8\u304b\u3089\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30b9 \u30c7\u30fc\u30bf \u30b7\u30b9\u30c6\u30e0\u306b\u81f3\u308b\u30a8\u30f3\u30c9 \u30c4\u30fc \u30a8\u30f3\u30c9\u306e\u30ef\u30fc\u30af \u30d5\u30ed\u30fc\u5168\u4f53\u3067\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u8a55\u4fa1\u3059\u308b\u65b0\u3057\u3044 AI \u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3001<a class=\"pr-link\" href=\"https:\/\/chipagents.ai\/newsroom\/chipagents-nvidia-build-a-chip-bench\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"76872482-0b7f-434c-9634-fd9b5b28eead\" data-result-code=\"OK\"><u>Build-A-Chip Bench<\/u><\/a>\u00a0\u306e\u958b\u767a\u306b\u5411\u3051\u3066 NVIDIA \u3068\u5354\u529b\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u306f\u3001\u5b8c\u5168\u306b\u81ea\u5f8b\u7684\u306a\u534a\u5c0e\u4f53\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u306b\u5411\u3051\u305f\u9032\u5c55\u3092\u5305\u62ec\u7684\u306b\u6e2c\u5b9a\u3059\u308b\u6307\u6a19\u3092\u696d\u754c\u306b\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n<p><strong>NVIDIA \u306e\u30aa\u30fc\u30d7\u30f3 \u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u88fd\u9020\u30ef\u30fc\u30af \u30d5\u30ed\u30fc\u306e\u6e96\u5099\u3068\u6700\u9069\u5316\u3092\u652f\u63f4<\/strong><\/p>\n<p>\u534a\u5c0e\u4f53\u5de5\u5834\u306f\u3001\u751f\u7523\u524d\u306b\u30e2\u30c7\u30ea\u30f3\u30b0\u3001\u6539\u826f\u3001\u691c\u8a3c\u304c\u5fc5\u8981\u306a\u6570\u5343\u3082\u306e\u30d7\u30ed\u30bb\u30b9 \u30b9\u30c6\u30c3\u30d7\u306b\u4f9d\u5b58\u3057\u3066\u3044\u307e\u3059\u3002<a class=\"pr-link\" href=\"https:\/\/developer.nvidia.com\/culitho\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"a151bd99-f071-40b4-a25c-9d229a671620\" data-result-code=\"OK\"><u>NVIDIA cuLitho<\/u><\/a>\u00a0\u30e9\u30a4\u30d6\u30e9\u30ea\u306f\u30c1\u30c3\u30d7 \u30d1\u30bf\u30fc\u30f3\u306e\u8ee2\u5199\u306b\u5fc5\u8981\u306a\u8a08\u7b97\u3092\u9ad8\u901f\u5316\u3057\u30013D \u30c7\u30fc\u30bf\u3092\u6271\u3046\u305f\u3081\u306e\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9 \u30e9\u30a4\u30d6\u30e9\u30ea NanoVDB \u306f\u534a\u5c0e\u4f53\u88fd\u9020\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u9ad8\u901f\u5316\u3057\u307e\u3059\u3002\u307e\u305f\u3001\u30aa\u30fc\u30d7\u30f3\u306a <a class=\"pr-link\" href=\"https:\/\/developer.nvidia.com\/physicsnemo\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"efc07b3a-55a3-4adb-900e-e92bca6ff892\" data-result-code=\"OK\"><u>NVIDIA PhysicsNeMo<\/u><\/a>\u2122 \u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306f\u3001\u7269\u7406\u30b7\u30b9\u30c6\u30e0\u306e\u6319\u52d5\u3092\u4e88\u6e2c\u3059\u308b\u7269\u7406 AI \u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3092\u652f\u63f4\u3057\u307e\u3059\u3002<\/p>\n<p><a class=\"pr-link\" href=\"https:\/\/news.siemens.com\/en-us\/siemens-nvidia-culitho\/\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"dc1983fe-c1eb-4bd3-a8b3-c915cc4a76f5\" data-result-code=\"NOT_FOUND\"><u>Siemens<\/u><\/a>\u00a0\u306f\u3001cuLitho \u3092\u4f7f\u7528\u3057\u3066\u3001\u30c1\u30c3\u30d7 \u30d1\u30bf\u30fc\u30f3\u306e\u8abf\u6574\u3068\u30de\u30b9\u30af\u4f5c\u6210\u3092\u884c\u3046 Calibre \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3092\u9ad8\u901f\u5316\u3057\u3066\u3044\u307e\u3059\u3002\u540c\u793e\u306e Solido \u30c1\u30fc\u30e0\u306f\u3001Nemotron \u30aa\u30fc\u30d7\u30f3 \u30e2\u30c7\u30eb\u3068 <a class=\"pr-link\" href=\"https:\/\/www.nvidia.com\/ja-jp\/ai-data-science\/products\/nemo\/\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"9a26dbe3-8f88-40f4-ae3d-93390869a18b\" data-result-code=\"OK\"><u>NVIDIA NeMo<\/u><\/a>\u00a0\u30aa\u30fc\u30d7\u30f3 \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u6d3b\u7528\u3057\u3001\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u4e3b\u5c0e\u306e\u7279\u6027\u8a55\u4fa1\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3082\u958b\u767a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Lam Research \u306f\u3001\u540c\u793e\u306e\u4eee\u60f3\u88fd\u54c1\u7fa4 <a class=\"pr-link\" href=\"https:\/\/www.lamresearch.com\/semiverse-solutions\/\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"8d2f7f76-5fc1-47a1-a503-c902d93219c6\" data-result-code=\"OK\"><u>Semiverse Solutions<\/u><\/a>\u00a0\u306e\u4e00\u90e8\u3067\u3042\u308b\u9ad8\u5ea6\u306a\u534a\u5c0e\u4f53\u30d7\u30ed\u30bb\u30b9 \u30e2\u30c7\u30ea\u30f3\u30b0 \u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0 <a class=\"pr-link\" href=\"https:\/\/www.lamresearch.com\/product\/semulator3d\/\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"1ab14f51-85fe-4fcc-892a-59250e61ae4b\" data-result-code=\"OK\"><u>SEMulator3D<\/u><\/a>\u00a0\u306b\u3001NanoVDB \u3092\u7d71\u5408\u3059\u308b\u4e88\u5b9a\u3067\u3059\u3002NanoVDB \u306e\u8ffd\u52a0\u306b\u3088\u308a\u3001\u7279\u5b9a\u306e\u30a6\u30a7\u30cf\u30fc \u30a8\u30c3\u30c1\u30f3\u30b0\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u304c\u6700\u5927 30 \u500d\u9ad8\u901f\u5316\u3055\u308c\u308b\u3068\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u4e00\u65b9\u3001NVIDIA PhysicsNeMo \u306e\u6d3b\u7528\u306b\u3088\u308a\u3001\u30d7\u30e9\u30ba\u30de\u4e88\u6e2c\u306e\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u6642\u9593\u3092\u6570\u65e5\u304b\u3089\u6700\u77ed\u3067\u30df\u30ea\u79d2\u5358\u4f4d\u306b\u77ed\u7e2e\u3067\u304d\u308b\u3053\u3068\u304c\u5b9f\u8a3c\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Luminary \u306f\u3001NVIDIA PhysicsNeMo \u3092\u534a\u5c0e\u4f53\u30d1\u30c3\u30b1\u30fc\u30b8\u8a2d\u8a08\u306b\u9069\u7528\u3057\u3001\u30d1\u30c3\u30b1\u30fc\u30b8\u69cb\u6210\u3054\u3068\u306e\u6e29\u5ea6\u3001\u5727\u529b\u640d\u5931\u3001\u71b1\u5fdc\u529b\u3092\u4e88\u6e2c\u3059\u308b\u7269\u7406 AI \u30e2\u30c7\u30eb\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30a8\u30f3\u30b8\u30cb\u30a2\u306f\u9078\u629e\u80a2\u3054\u3068\u306b\u65b0\u305f\u306a\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u5b9f\u884c\u3059\u308b\u3053\u3068\u306a\u304f\u3001\u540c\u3058\u671f\u9593\u5185\u306b 100 \u500d\u306e\u8a2d\u8a08\u6848\u3092\u691c\u8a0e\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<p><strong>AI \u30c7\u30d5\u30a1\u30a4\u30f3\u30c9 \u30d5\u30a1\u30d6\u304c NVIDIA CUDA-X \u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u30c1\u30c3\u30d7\u306e\u691c\u67fb\u3001\u30c6\u30b9\u30c8\u3092\u5b9f\u65bd<\/strong><\/p>\n<p>AI \u30c7\u30d5\u30a1\u30a4\u30f3\u30c9 \u30d5\u30a1\u30d6\u3067\u306f\u3001\u4e0d\u826f\u306e\u691c\u51fa\u3001\u88c5\u7f6e\u306e\u4fdd\u5b88\u3001\u6b69\u7559\u307e\u308a\u306e\u6539\u5584\u3092\u56f3\u308b\u305f\u3081\u306b\u3001\u691c\u67fb\u753b\u50cf\u3068\u30c6\u30b9\u30c8 \u30c7\u30fc\u30bf\u3092\u8fc5\u901f\u306b\u5206\u6790\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002GPU \u4e0a\u3067\u753b\u50cf\u3092\u51e6\u7406\u3059\u308b\u305f\u3081\u306e\u30e9\u30a4\u30d6\u30e9\u30ea NVIDIA NPP \u3068\u3001GPU \u4e0a\u3067\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u51e6\u7406\u3059\u308b\u30e9\u30a4\u30d6\u30e9\u30ea NVIDIA RAPIDS cuDF \u306f\u3001\u30c6\u30b9\u30c8\u3068\u54c1\u8cea\u7ba1\u7406\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306e\u9ad8\u901f\u5316\u3092\u652f\u63f4\u3057\u307e\u3059\u3002<\/p>\n<p>imec \u306f\u3001NVIDIA \u306e AI \u3068\u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30c6\u30c3\u30c9 \u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3092\u6d3b\u7528\u3057\u3001\u30b5\u30d6\u30ca\u30ce\u30e1\u30fc\u30c8\u30eb\u306e\u30c1\u30c3\u30d7\u8a08\u6e2c\u306b\u4f7f\u7528\u3059\u308b\u8d70\u67fb\u578b\u96fb\u5b50\u9855\u5fae\u93e1\u753b\u50cf\u304b\u3089\u30ce\u30a4\u30ba\u3092\u9664\u53bb\u3057\u3066\u3044\u307e\u3059\u3002\u307e\u305f\u3001NVIDIA cuLitho \u3092\u4f7f\u7528\u3057\u3066\u3001\u8a08\u7b97\u8ca0\u8377\u306e\u9ad8\u3044\u30d7\u30ed\u30bb\u30b9 \u30a6\u30a3\u30f3\u30c9\u30a6\u306e\u5149\u5b66\u8fd1\u63a5\u52b9\u679c\u88dc\u6b63\u3092\u53ef\u80fd\u306b\u3057\u3001\u30ea\u30bd\u30b0\u30e9\u30d5\u30a3\u306e\u30d7\u30ed\u30bb\u30b9 \u30a6\u30a3\u30f3\u30c9\u30a6\u3092 30% \u6539\u5584\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>KLA \u306f\u3001\u9ad8\u5ea6\u306b\u6700\u9069\u5316\u3055\u308c\u305f\u672c\u756a\u7528\u30ab\u30fc\u30cd\u30eb\u304b\u3089\u5f97\u305f\u77e5\u898b\u3092\u65b0\u3057\u3044 NPP NCC \u30ab\u30fc\u30cd\u30eb\u306b\u9069\u7528\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u30ab\u30fc\u30cd\u30eb\u306f\u3001\u4ee5\u524d\u306e CPU \u7248\u3088\u308a 50 \u500d\u9ad8\u901f\u3067\u3001KLA \u304c\u624b\u4f5c\u696d\u3067\u8abf\u6574\u3057\u305f\u5b9f\u88c5\u306b\u5339\u6575\u3059\u308b\u6027\u80fd\u3092\u9054\u6210\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>Teradyne \u306f\u3001NVIDIA NPP \u3068\u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30c6\u30c3\u30c9 \u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3092\u4f7f\u7528\u3057\u3066\u30a4\u30e1\u30fc\u30b8 \u30bb\u30f3\u30b5\u30fc\u306e\u30c6\u30b9\u30c8\u3092\u9ad8\u901f\u5316\u3057\u3066\u3044\u307e\u3059\u3002\u307e\u305f\u3001GPU \u8a08\u7b97\u306b RAPIDS cuDF \u3068 CuPy \u3092\u4f7f\u7528\u3057\u3001\u30d7\u30ed\u30fc\u30d6\u4fdd\u5b88\u306e\u305f\u3081\u306e\u63a8\u8ad6\u3092\u7d04 85 \u500d\u9ad8\u901f\u5316\u3059\u308b\u3053\u3068\u3067\u3001\u6b69\u7559\u307e\u308a\u306b\u5f71\u97ff\u304c\u51fa\u308b\u524d\u306b\u6027\u80fd\u304c\u4f4e\u4e0b\u3057\u3064\u3064\u3042\u308b\u30d7\u30ed\u30fc\u30d6\u3092\u7279\u5b9a\u3059\u308b\u3053\u3068\u3092\u652f\u63f4\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Advantest \u306f\u3001NVIDIA Nemotron \u3068 <a class=\"pr-link\" href=\"https:\/\/huggingface.co\/nvidia\/Kumo-Anomaly\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"896fb989-a832-40d3-81ee-56b016819e76\" data-result-code=\"OK\"><u>NVIDIA Kumo-Anomaly<\/u><\/a>\u00a0\u3092 ACS RTDI \u306b\u7d71\u5408\u3057\u3001AI \u99c6\u52d5\u578b\u306e\u534a\u5c0e\u4f53\u751f\u7523\u5206\u6790\u3092\u53ef\u80fd\u306b\u3057\u3066\u3044\u307e\u3059\u3002<a class=\"pr-link\" href=\"https:\/\/www.nvidia.com\/ja-jp\/data-center\/technologies\/blackwell-architecture\/\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"e2227520-e3b8-46d2-9340-c7a075c7b085\" data-result-code=\"OK\"><u>NVIDIA Grace Blackwell<\/u><\/a>\u00a0\u30b7\u30b9\u30c6\u30e0\u3092\u642d\u8f09\u3057\u305f ACS \u306f\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306e\u8a3a\u65ad\u3068\u63a8\u8ad6\u3092\u63d0\u4f9b\u3057\u3001\u30c6\u30b9\u30c8 \u30bb\u30eb\u306b\u5bfe\u3059\u308b\u662f\u6b63\u63aa\u7f6e\u3092\u63d0\u6848\u3057\u307e\u3059\u3002Advantest \u306f\u307e\u305f\u3001<a class=\"pr-link\" href=\"https:\/\/www.nvidia.com\/ja-jp\/ai-data-science\/products\/nemo\/\" target=\"_blank\" rel=\"nofollow ugc noopener\" data-link-id=\"8f195c9a-c85c-4e0c-b907-355de4fe8f48\" data-result-code=\"OK\"><u>NVIDIA NeMo<\/u><\/a>\u00a0Switchyard AI \u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u4f7f\u7528\u3057\u3066\u30e2\u30c7\u30eb\u9078\u629e\u3092\u81ea\u52d5\u5316\u3057\u3001\u534a\u5c0e\u4f53\u30c6\u30b9\u30c8\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3092\u52b9\u7387\u5316\u3059\u308b\u3068\u3068\u3082\u306b\u3001\u5bfe\u5fdc\u6642\u9593\u3092\u6570\u6642\u9593\u304b\u3089\u6570\u5206\u306b\u77ed\u7e2e\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p><strong>NVIDIA \u306e\u30c6\u30af\u30ce\u30ed\u30b8\u304c\u5de5\u5834\u306e\u904b\u7528\u3068\u81ea\u52d5\u5316\u3092\u63a8\u9032<\/strong><\/p>\n<p>AI \u30c7\u30d5\u30a1\u30a4\u30f3\u30c9 \u30d5\u30a1\u30d6\u3067\u306f\u3001\u904b\u7528\u4e0a\u306e\u610f\u601d\u6c7a\u5b9a\u3092\u652f\u3048\u308b\u305f\u3081\u306b\u3001\u6a5f\u5668\u304b\u3089 AI \u30b7\u30b9\u30c6\u30e0\u3078\u5341\u5206\u306a\u901f\u5ea6\u3067\u88c5\u7f6e\u30c7\u30fc\u30bf\u3092\u9001\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>Applied Materials \u306f\u3001\u6750\u6599\u63a2\u7d22\u3001\u30d7\u30ed\u30bb\u30b9\u958b\u767a\u3001\u5de5\u5834\u306e\u6700\u9069\u5316\u5168\u4f53\u3067\u3001NVIDIA Omniverse\u2122 \u3068\u3001cuDSS\u3001cuEST\u3001PhysicsNeMo \u306a\u3069\u306e NVIDIA CUDA-X \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u6d3b\u7528\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30c1\u30e3\u30f3\u30d0\u30fc \u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u6700\u5927 35 \u500d\u306e\u9ad8\u901f\u5316\u3068\u3001\u30ec\u30a4\u30a2\u30a6\u30c8\u3084\u6750\u6599\u306e\u6d41\u308c\u306e\u6700\u9069\u5316\u3092\u652f\u63f4\u3059\u308b\u5de5\u5834\u306e\u30c7\u30b8\u30bf\u30eb \u30c4\u30a4\u30f3\u3092\u5b9f\u73fe\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Analog Devices Inc. \u306f\u3001Synopsys \u306e\u7269\u7406\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3068 NVIDIA Isaac Sim\u2122 \u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u304a\u3088\u3073 Omniverse \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u7d44\u307f\u5408\u308f\u305b\u3001\u9ad8\u5fe0\u5b9f\u5ea6\u306e\u30bb\u30f3\u30b7\u30f3\u30b0 \u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3068\u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u306e\u30d9\u30f3\u30c1\u30de\u30fc\u30af\u3092\u958b\u767a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30a8\u30f3\u30b8\u30cb\u30a2\u304c\u30ed\u30dc\u30c3\u30c8 \u30b7\u30b9\u30c6\u30e0\u5168\u4f53\u306e\u4e2d\u3067\u30bb\u30f3\u30b5\u30fc\u304c\u3069\u306e\u3088\u3046\u306b\u52d5\u4f5c\u3059\u308b\u304b\u3092\u8a55\u4fa1\u3059\u308b\u3053\u3068\u3092\u652f\u63f4\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u30d5\u30a1\u30ca\u30c3\u30af \u3068 Foxconn \u306f\u3001\u81ea\u793e\u306e\u30ed\u30dc\u30c3\u30c8 \u30e2\u30c7\u30eb\u3092 Mega NVIDIA Omniverse Blueprint \u306b\u63a5\u7d9a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u30e1\u30fc\u30ab\u30fc\u306f\u3001\u5b9f\u6a5f\u3078\u306e\u5c0e\u5165\u524d\u306b\u5de5\u5834\u306e\u30c7\u30b8\u30bf\u30eb \u30c4\u30a4\u30f3\u3067\u30ed\u30dc\u30c3\u30c8\u306e\u52d5\u4f5c\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3057\u3001\u691c\u8a3c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<p>\u30aa\u30e0\u30ed\u30f3 \u306f\u3001\u691c\u67fb\u88c5\u7f6e\u306b\u304a\u3044\u3066\u3001NVIDIA Cosmos\u2122 \u30aa\u30fc\u30d7\u30f3 \u30ef\u30fc\u30eb\u30c9 \u30e2\u30c7\u30eb\u3068\u3001\u30d3\u30c7\u30aa\u691c\u7d22\u304a\u3088\u3073\u8981\u7d04\u306e\u305f\u3081\u306e NVIDIA Metropolis Blueprint \u3092\u6d3b\u7528\u3057\u3001\u8996\u899a\u30c7\u30fc\u30bf\u3001\u88c5\u7f6e\u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3001\u88fd\u9020\u306b\u95a2\u3059\u308b\u77e5\u8b58\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u3092\u958b\u767a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u306f\u3001\u30a8\u30f3\u30b8\u30cb\u30a2\u306b\u3088\u308b\u30d7\u30ea\u30f3\u30c8\u57fa\u677f\u306e\u691c\u67fb\u7d50\u679c\u306e\u5206\u6790\u3001\u4e0d\u826f\u306e\u6f5c\u5728\u7684\u306a\u539f\u56e0\u306e\u8abf\u67fb\u3001\u30c8\u30e9\u30d6\u30eb\u30b7\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u3084\u54c1\u8cea\u7ba1\u7406\u3092\u652f\u63f4\u3057\u307e\u3059\u3002<\/p>\n<p>\u30bd\u30fc\u30b9:<a href=\"https:\/\/prtimes.jp\/main\/html\/rd\/p\/000000659.000012662.html\">NVIDIA \u3068\u534a\u5c0e\u4f53\u696d\u754c\u306e\u30ea\u30fc\u30c0\u30fc\u3001AI \u30c7\u30d5\u30a1\u30a4\u30f3\u30c9 \u30d5\u30a1\u30d6\u306b\u5411\u3051\u3066\u30c1\u30c3\u30d7\u8a2d\u8a08\u3068\u88fd\u9020\u5168\u4f53\u3067 AI \u306e\u6d3b\u7528\u3092\u63a8\u9032 | 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