{"id":1025,"date":"2018-09-16T10:34:55","date_gmt":"2018-09-16T01:34:55","guid":{"rendered":"https:\/\/lab4ict.com\/?p=1025"},"modified":"2024-01-31T13:21:40","modified_gmt":"2024-01-31T04:21:40","slug":"gpu%e3%81%ae%e3%83%ad%e3%83%bc%e3%83%89%e3%83%9e%e3%83%83%e3%83%97%e3%81%a8%e6%96%b0%e3%82%a2%e3%83%bc%e3%82%ad%e3%83%86%e3%82%af%e3%83%81%e3%83%a3%e3%83%bc%ef%bc%88nvidia-turing%ef%bc%89","status":"publish","type":"post","link":"https:\/\/lab4ict.com\/blog\/archives\/1025","title":{"rendered":"GPU\u306e\u30ed\u30fc\u30c9\u30de\u30c3\u30d7\u3068\u65b0\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\uff08NVIDIA TURING\uff09"},"content":{"rendered":"<p>NVIDIA\u3088\u308a\u3001\u300cGraphics Reinvented\u300d\u306e\u6a19\u8a9e\u306e\u3082\u3068\u3001\u65b0GPU\u306e\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u300cTuring\u300d\u306e\u5185\u5bb9\u304c2018\u5e749\u670814\u65e5\u306b\u516c\u8868\u3055\u308c\u305f\u3002\u3053\u308c\u307e\u3067\u306e\u6700\u65b0\u306e\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u300cPascal\u300d\u304b\u3089\u3069\u306e\u3088\u3046\u306b\u5909\u308f\u3063\u305f\u306e\u304b\u5206\u6790\u3057\u3066\u307f\u305f\u3044\u3002<\/p>\n<p><!--more--><\/p>\n<h2>\u65b0\u65e7GPU\u306e\u4ed5\u69d8\u6bd4\u8f03<\/h2>\n<p>\u6700\u521d\u306b\u3001\u65b0\u65e7GPU\u3092\u6bd4\u8f03\u3059\u308b\u305f\u3081\u306b\u3001\u305d\u308c\u305e\u308c\u306e\u6700\u4e0a\u4f4d\u6a5f\u7a2e\u300cGTX 1080 Ti\u300d\u3068\u300cRTX 2080 Ti\u300d\u306e\u4ed5\u69d8\u3092\u63b2\u8f09\u3059\u308b\u3002<br \/>\n\uff1c\u57fa\u672c\u4ed5\u69d8\uff1e<\/p>\n<table>\n<tbody>\n<tr>\n<th>GPU Features<\/th>\n<th>GTX 1080 Ti<\/th>\n<th>RTX 2080 Ti<\/th>\n<th>\u5099\u8003<\/th>\n<\/tr>\n<tr>\n<td>Architecture<\/td>\n<td>Pascal<\/td>\n<td>Turing<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>GPCs<\/td>\n<td>6<\/td>\n<td>6<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>TPCs<\/td>\n<td>28<\/td>\n<td>34<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>SMs<\/td>\n<td>28<\/td>\n<td>68<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>CUDA Cores \/ SM<\/td>\n<td>128<\/td>\n<td>64<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>CUDA Cores \/ GPU<\/td>\n<td>3584<\/td>\n<td>4352<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Tensor Cores \/ SM<\/td>\n<td>NA<\/td>\n<td>8<\/td>\n<td>\u8ffd\u52a0<\/td>\n<\/tr>\n<tr>\n<td>Tensor Cores \/ GPU<\/td>\n<td>NA<\/td>\n<td>544<\/td>\n<td>\u8ffd\u52a0<\/td>\n<\/tr>\n<tr>\n<td>RT Cores<\/td>\n<td>NA<\/td>\n<td>68<\/td>\n<td>\u8ffd\u52a0<\/td>\n<\/tr>\n<tr>\n<td>GPU Base Clock<\/td>\n<td>1480<\/td>\n<td>1350<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>GPU Boost Clock MHz<\/td>\n<td>1582<\/td>\n<td>1545<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Frame Buffer Memory Size and Type<\/td>\n<td>11264 MB GDDR5X<\/td>\n<td>11264 MB GDDR6<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Memory Interface<\/td>\n<td>352-bit<\/td>\n<td>352-bit<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Memory Clock (Data Rate)<\/td>\n<td>11 Gbps<\/td>\n<td>14 Gbps<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>ROPs<\/td>\n<td>88<\/td>\n<td>88<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Texture Units<\/td>\n<td>224<\/td>\n<td>272<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Memory Bandwidth (GB\/sec)<\/td>\n<td>484<\/td>\n<td>616<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>L2 Cache Size<\/td>\n<td>2816 KB<\/td>\n<td>5632 KB<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Register File Size\/SM<\/td>\n<td>256 KB<\/td>\n<td>256 KB<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Register File Size\/GPU<\/td>\n<td>7168 KB<\/td>\n<td>17408 KB<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Transistor Count<\/td>\n<td>12 Billion<\/td>\n<td>18.6 Billion<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Die Size<\/td>\n<td>471<\/td>\n<td>754<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Manufacturing Process<\/td>\n<td>16 nm<\/td>\n<td>12 nm FFN<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\uff1c\u6027\u80fd\u6307\u6a19\uff1e<\/p>\n<table>\n<tbody>\n<tr>\n<th>GPU Features<\/th>\n<th>GTX 1080 Ti<\/th>\n<th>RTX 2080 Ti<\/th>\n<th>\u5099\u8003<\/th>\n<\/tr>\n<tr>\n<td>RTX-OPS (Tera-OPS)<\/td>\n<td>11.3<\/td>\n<td>76<\/td>\n<td>\u5927\u5e45\u5897<\/td>\n<\/tr>\n<tr>\n<td>Rays Cast (Giga Rays\/sec)<\/td>\n<td>1.1<\/td>\n<td>10<\/td>\n<td>\u5927\u5e45\u5897<\/td>\n<\/tr>\n<tr>\n<td>Peak FP32 TFLOPS<\/td>\n<td>11.3<\/td>\n<td>13.4<\/td>\n<td><\/td>\n<\/tr>\n<tr>\n<td>Peak INT32 TIPS<\/td>\n<td>NA<\/td>\n<td>13.4<\/td>\n<td>\u6574\u6570\u6f14\u7b97\u30e6\u30cb\u30c3\u30c8<\/td>\n<\/tr>\n<tr>\n<td>Peak FP16 TFLOPS<\/td>\n<td>NA<\/td>\n<td>26.9<\/td>\n<td>\u534a\u7cbe\u5ea6\u8ffd\u52a0<\/td>\n<\/tr>\n<tr>\n<td>Peak FP16 Tensor TFLOPS with FP32<\/td>\n<td>NA<\/td>\n<td>53.8<\/td>\n<td>Tensor\u30b3\u30a2<\/td>\n<\/tr>\n<tr>\n<td>Peak FP16 Tensor TFLOPS with FP16<\/td>\n<td>NA<\/td>\n<td>107.6<\/td>\n<td>Tensor\u30b3\u30a2<\/td>\n<\/tr>\n<tr>\n<td>Peak INT8 Tensor TOPS<\/td>\n<td>NA<\/td>\n<td>215.2<\/td>\n<td>Tensor\u30b3\u30a2<\/td>\n<\/tr>\n<tr>\n<td>Peak INT4 Tensor TOPS<\/td>\n<td>NA<\/td>\n<td>430.3<\/td>\n<td>Tensor\u30b3\u30a2<\/td>\n<\/tr>\n<tr>\n<td>Texel Fill-rate (Gigatexels\/sec)<\/td>\n<td>354.4<\/td>\n<td>420.2<\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u30c8\u30e9\u30f3\u30b8\u30b9\u30bf\u96c6\u7a4d\u898f\u6a21\u306e\u5897\u52a0<\/h2>\n<p>\u6700\u521d\u306b\u6ce8\u76ee\u3057\u305f\u3044\u306e\u306f\u3001\u30c0\u30a4\u30b5\u30a4\u30ba\u3068\u88fd\u9020\u30d7\u30ed\u30bb\u30b9\u306e\u5909\u5316\u3067\u3042\u308b\u3002\u30c0\u30a4\u30b5\u30a4\u30ba\u304c\u5de8\u5927\u5316\u3057\uff08471mm<sup>2<\/sup> \u2192754mm<sup>2<\/sup> \uff09\u3001\u88fd\u9020\u30d7\u30ed\u30bb\u30b9\u304c\u9032\u5316\u3057\uff0816nm\u219212nm FFN\uff09\u3001\u30c8\u30e9\u30f3\u30b8\u30b9\u30bf\u6570\u304c\u5897\u3048\u3066\u3044\u308b\uff08120\u5104\u2192186\u5104\uff09\u304c\u3001\u6700\u5927\u6d88\u8cbb\u96fb\u529b\uff08250W\uff09\u306f\u5fc5\u305a\u3057\u3082\u5897\u3048\u3066\u3044\u306a\u3044\u3002<\/p>\n<h2>SM\uff08Streaming Multiprocessor\uff09\u306e\u4ed5\u69d8\u306e\u5909\u5316<\/h2>\n<p>\u5897\u3048\u305f\u30c8\u30e9\u30f3\u30b8\u30b9\u30bf\u306f\u4f55\u306b\u4f7f\u7528\u3055\u308c\u3066\u3044\u308b\u306e\u3067\u3042\u308d\u3046\u304b\u3002\u5358\u7d14\u306b\u8003\u3048\u308c\u3070\u3001CUDA\u30b3\u30a2\u6570\u3092\u5897\u3084\u305b\u3070\u6027\u80fd\u30a2\u30c3\u30d7\u306b\u3064\u306a\u304c\u308b\u3068\u601d\u308f\u308c\u308b\u304c\u3001Turing\u3067\u306f\u767a\u60f3\u304c\u7570\u306a\u308b\u3002GPU\u306e\u5fc3\u81d3\u90e8\u3068\u3082\u547c\u3079\u308bSM\u306b\u304a\u3044\u3066\u3001CUDA\u30b3\u30a2\u6570\u3082\u5897\u3048\u3066\u306f\u3044\u308b\u304c\u3001\u4e3b\u306a\u5909\u5316\u306f\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u30ec\u30a4\u30c8\u30ec\u30fc\u30b7\u30f3\u30b0\u7528\u306bRT\u30b3\u30a2\u3068Tensor\u30b3\u30a2\u304c\u8ffd\u52a0\u3055\u308c\u305f\u3053\u3068\u3067\u3042\u308b\u3002\u305d\u308c\u4ee5\u5916\u306b\u3082\u3001FP32\u30b3\u30a2\u3068\u540c\u6570\u306eINT32\u30b3\u30a2\u304c\u8ffd\u52a0\u3055\u308c\u540c\u6642\u306b\u52d5\u4f5c\u53ef\u80fd\u3068\u306a\u3063\u3066\u3044\u308b\u3002<br \/>\n\uff1cTuring\u306eSM\uff1e<\/p>\n<ul>\n<li>1\u500b\u306eTPC\uff1a2\u500b\u306eSM<\/li>\n<li>1\u500b\u306eSM \uff1a64\u500b\u306eFP32\u30b3\u30a2\u300164\u500b\u306eINT32\u30b3\u30a2\u30018\u500b\u306eTensor\u30b3\u30a2\u30011\u500b\u306eRT\u30b3\u30a2\n<\/ul>\n<p>\uff1cTuring\u306eSM\uff1e<\/p>\n<ul>\n<li>1\u500b\u306eTPC\uff1a1\u500b\u306eSM<\/li>\n<li>1\u500b\u306eSM \uff1a128\u500b\u306eFP32\u30b3\u30a2\n<\/ul>\n<h2>\u8ffd\u52a0\u3055\u308c\u305f\u30e6\u30cb\u30c3\u30c8\u306e\u7528\u9014<\/h2>\n<p>Turing\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u3067\u306f\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u30ec\u30a4\u30c8\u30ec\u30fc\u30b7\u30f3\u30b0\u3078\u306e\u5bfe\u5fdc\u304c\u7b2c\u4e00\u306e\u7279\u5fb4\u306b\u306a\u3063\u3066\u3044\u308b\u3002\u3053\u308c\u307e\u3067\u306eGPU\u3067\u306f\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u30ec\u30a4\u30c8\u30ec\u30fc\u30b7\u30f3\u30b0\u306b\u306f\u51e6\u7406\u80fd\u529b\u304c\u5168\u304f\u8db3\u308a\u305a\u3001\u5f71\u3092\u5225\u306b\u63cf\u304f\u306a\u3069\u3067\u30ea\u30a2\u30eb\u3055\u3092\u6f14\u51fa\u3057\u3066\u3044\u305f\u3002\u3053\u306e\u8ab2\u984c\u306b\u6b63\u9762\u304b\u3089\u53d6\u308a\u7d44\u3080\u305f\u3081\u306b\u3001RT\u30b3\u30a2\u3068Tensor\u30b3\u30a2\u304c\u8ffd\u52a0\u3055\u308c\u3066\u3044\u308b\u3002\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u30ec\u30a4\u30c8\u30ec\u30fc\u30b7\u30f3\u30b0\u3067\u306f\u3001\u5f71\u306e\u63cf\u753b\u3082\u81ea\u7136\u306a\u30ed\u30b8\u30c3\u30af\u3067\u884c\u3048\u308b\u3002\u305d\u306e\u4ed6\u3001AI\u3092\u4f7f\u7528\u3057\u305f\u753b\u50cf\u51e6\u7406\uff08DLSS\uff09\u3082\u9b45\u529b\u7684\u3067\u3001Tensor\u30b3\u30a2\u304c\u3042\u308b\u304a\u304b\u3052\u3067\u5b9f\u73fe\u3067\u304d\u308b\u3002<\/p>\n<h2>\u4ed6\u306e\u7528\u9014\u3078\u306e\u5bfe\u5fdc<\/h2>\n<p>\u9006\u306b\u6c17\u306b\u306a\u308b\u306e\u304c\u3001\u305d\u306e\u4ed6\u306e\u7528\u9014\u3078\u306e\u5bfe\u5fdc\u3067\u3042\u308b\u3002GPU\u306f\u3001\u79d1\u5b66\u6280\u8853\u8a08\u7b97\u3084\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306b\u4f7f\u7528\u3055\u308c\u308b\u3088\u3046\u306b\u306a\u3063\u3066\u3044\u308b\u304c\u3001\u7279\u306b\u79d1\u5b66\u6280\u8853\u8a08\u7b97\u306b\u3064\u3044\u3066\u306f\u3001\u5358\u7d14\u306bCUDA\u30b3\u30a2\u3092\u8ffd\u52a0\u3057\u305f\u307b\u3046\u304c\u6271\u3044\u3084\u3059\u3044\u306e\u3067\u306f\u3068\u601d\u308f\u308c\u308b\u90e8\u5206\u304c\u3042\u308b\u3002\u9006\u306b\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306b\u3064\u3044\u3066\u306f\u3001\u30c7\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u7528\u306b\u6700\u9069\u3068\u3082\u8a00\u3048\u308b\u4ed5\u69d8\u306eTensor\u30b3\u30a2\u304c\u8ffd\u52a0\u306b\u306a\u3063\u3066\u3044\u308b\u3002CUDA\u30b3\u30a2\u3088\u308a\u5727\u5012\u7684\u306b\u901f\u3044\u3068\u3055\u308c\u3066\u304a\u308a\u3001Tensor\u30b3\u30a2\u3092\u5897\u3084\u305b\u3070\u3082\u3063\u3068\u65e9\u304f\u306a\u308b\u306e\u3067\u306f\u306a\u3069\u3068\u8003\u3048\u3066\u3057\u307e\u3046\u3002\u30ec\u30a4\u30c8\u30ec\u30fc\u30b7\u30f3\u30b0\u306e\u3088\u3046\u306b\u3001CUDA\u30b3\u30a2\u3068Tensor\u30b3\u30a2\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u3001\u3088\u308a\u9ad8\u901f\u306a\u6f14\u7b97\u306a\u3069\u53ef\u80fd\u306b\u306a\u308b\u306e\u3067\u3042\u308d\u3046\u304b\u3002<\/p>\n<h2>\u307e\u3068\u3081<\/h2>\n<p>GPU\u306e\u7528\u9014\u306f\u3001\u672c\u6765\u306e\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30b9\u4ee5\u5916\u306b\u3082\u79d1\u5b66\u6280\u8853\u8a08\u7b97\u3084\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306a\u3069\u8a08\u7b97\u529b\u304c\u5fc5\u8981\u3068\u3055\u308c\u308b\u7528\u9014\u306b\u5e45\u5e83\u304f\u4f7f\u7528\u3055\u308c\u308b\u3088\u3046\u306b\u306a\u3063\u3066\u3044\u308b\u3002Turing\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u3067\u306f\u3001\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30b9\u306e\u5206\u91ce\u3067\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u30ec\u30a4\u30c8\u30ec\u30fc\u30b7\u30f3\u30b0\u7b49\u306e\u51e6\u7406\u3092\u884c\u3046\u305f\u3081\u306b\u65b0\u3057\u3044\u30b3\u30a2\u3092\u8ffd\u52a0\u3057\u305f\u304c\u3001\u7279\u306bTensor\u30b3\u30a2\u306f\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u9ad8\u901f\u5316\u306b\u3082\u7126\u70b9\u3092\u3042\u3066\u305f\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u306b\u306a\u3063\u3066\u3044\u308b\u3002\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30b9\u3067\u5fc5\u8981\u3068\u3055\u308c\u308b\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u304c\u5c11\u306a\u304f\u3068\u3082\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3067\u306f\u6709\u52b9\u3067\u3042\u308a\u3001\u69d8\u3005\u306a\u5206\u91ce\u3067\u4f7f\u7528\u3055\u308c\u308b\u884c\u5217\u8a08\u7b97\u304c\u9ad8\u901f\u5316\u3055\u308c\u308b\u3053\u3068\u304b\u3089\u3001\u65b0\u305f\u306a\u7528\u9014\u3092\u898b\u51fa\u3057\u3066\u307f\u305f\u304f\u306a\u308b\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u3067\u3042\u308b\u3068\u611f\u3058\u308b\u3002Turing\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u306e\u30b0\u30e9\u30d5\u30a3\u30c3\u30af\u30dc\u30fc\u30c9\u306e\u4fa1\u683c\u304c\u9ad8\u304f\u306a\u308a\u3059\u304e\u306a\u3044\u3053\u3068\u3092\u671f\u5f85\u3057\u3066\u3001\u30ed\u30fc\u30a8\u30f3\u30c9\u307e\u3067\u306e\u30e9\u30a4\u30f3\u30ca\u30c3\u30d7\u3092\u5f85\u3061\u305f\u3044\u3002<\/p>\n<h2>\u88dc\u8db3<\/h2>\n<h3>NVIDIA GPU\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u306e\u4e00\u89a7<\/h3>\n<table>\n<tbody>\n<tr>\n<th>\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc<\/th>\n<th>\u30ea\u30ea\u30fc\u30b9\u5e74<\/th>\n<th>\u4e3b\u306a\u7279\u5fb4<\/th>\n<tr>\n<td>Turing<\/td>\n<td>2018<\/td>\n<td>Graphics Reinvented! RT\u30b3\u30a2\u3001Tensor\u30b3\u30a2\u8ffd\u52a0<\/td>\n<\/tr>\n<td>Pascal<\/td>\n<td>2016<\/td>\n<td>16nm\u88fd\u9020\u30d7\u30ed\u30bb\u30b9\u63a1\u7528\u3001GPU\u30d9\u30fc\u30b9\u30af\u30ed\u30c3\u30af\u5411\u4e0a<\/td>\n<\/tr>\n<td>Maxwell<\/td>\n<td>2014<\/td>\n<td>\u4f4e\u6d88\u8cbb\u96fb\u529b\u5316<\/td>\n<\/tr>\n<td>Kepler<\/td>\n<td>2012<\/td>\n<td>\u30c0\u30a4\u30ca\u30df\u30c3\u30af\u30d1\u30e9\u30ec\u30ea\u30ba\u30e0\u6a5f\u80fd\u8ffd\u52a0<\/td>\n<\/tr>\n<td>Fermi<\/td>\n<td>2010<\/td>\n<td>\u672c\u683c\u7684\u306aGPU\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30fb\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u767b\u5834<\/td>\n<\/tbody>\n<\/table>\n<h3>GTX 1660 Ti \/ GTX 1660\u306b\u3064\u3044\u3066<\/h3>\n<p>GTX 1660 Ti\u304a\u3088\u3073GTX 1660\u306f\u3001Turing\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u3067\u306f\u3042\u308b\u304c\u3001RT\u30b3\u30a2\u304a\u3088\u3073Tensor\u30b3\u30a2\u304c\u642d\u8f09\u3055\u308c\u3066\u3044\u306a\u3044\u3002<\/p>\n<h3>RTX 2080 SUPER \/ RTX 2070 SUPER \/ RTX 2060 SUPER \u306b\u3064\u3044\u3066<\/h3>\n<p>RTX 2080 SUPER\u3001RTX 2070 SUPER\u3001RTX 2060 SUPER\u306f\u3001\u305d\u308c\u305e\u308c\u3001RTX 2080\u3001RTX 2070\u3001RTX 2060\u306e\u30b3\u30a2\u6570\u3001\u30af\u30ed\u30c3\u30af\u6570\u3001\u30e1\u30e2\u30ea\u5bb9\u91cf\u3092\u5f37\u5316\u3057\u305f\u30d0\u30fc\u30b8\u30e7\u30f3\u3067\u3042\u308b\u3002<\/p>\n<h2>\u53c2\u8003<\/h2>\n<h3>NVIDIA\u306e\u30b5\u30a4\u30c8<\/h3>\n<ul>\n<li><a href=\"https:\/\/devblogs.nvidia.com\/nvidia-turing-architecture-in-depth\/\">NVIDIA Turing Architecture In-Depth (2018\/9\/14)<\/a><\/li>\n<li><a href=\"https:\/\/www.nvidia.co.jp\/object\/gpu-architecture-jp.html\">PASCAL\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc<\/a><\/li>\n<li><a href=\"https:\/\/www.nvidia.co.jp\/object\/nvidia-kepler-jp.html\">KEPLER\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc<\/a><\/li>\n<li><a href=\"https:\/\/www.nvidia.co.jp\/object\/fermi-architecture-jp.html\">FERMI\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc<\/a><\/li>\n<li><a href=\"https:\/\/developer.nvidia.com\/key-technologies\">Key Technologies<\/a><\/li>\n<\/ul>\n<h3>\u672c\u30b5\u30a4\u30c8\u306e\u95a2\u9023\u8a18\u4e8b<\/h3>\n<ul>\n<li><a href=\"https:\/\/lab4ict.com\/archives\/230\" target=\"_blank\" rel=\"noopener noreferrer\">GPU\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u6642\u4ee3\u306e\u5e55\u958b\u3051<\/a><\/li>\n<\/ul>\n<h2>\u5546\u54c1\u7d39\u4ecb\uff08\u5e83\u544a\uff09<\/h2>\n<h3>RTX 2080 Ti<\/h3>\n<p><iframe style=\"width:120px;height:240px;\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" frameborder=\"0\" src=\"https:\/\/rcm-fe.amazon-adsystem.com\/e\/cm?ref=tf_til&t=infotecr-22&m=amazon&o=9&p=8&l=as1&IS2=1&detail=1&asins=B07HY6QWXN&linkId=e25373e6eecd5a71234029c8f5be847d&bc1=000000&lt1=_blank&fc1=333333&lc1=0066c0&bg1=dddddd&f=ifr\"><br \/>\n    <\/iframe><\/p>\n<h3>RTX 2080<\/h3>\n<p><iframe style=\"width:120px;height:240px;\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" frameborder=\"0\" src=\"https:\/\/rcm-fe.amazon-adsystem.com\/e\/cm?ref=tf_til&t=infotecr-22&m=amazon&o=9&p=8&l=as1&IS2=1&detail=1&asins=B07GKD7DND&linkId=7c9d67f9dfad6f925858e9f6464cdcdf&bc1=000000&lt1=_blank&fc1=333333&lc1=0066c0&bg1=dddddd&f=ifr\"><br \/>\n    <\/iframe><\/p>\n<h3>RTX 2070<\/h3>\n<p><iframe style=\"width:120px;height:240px;\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" frameborder=\"0\" src=\"https:\/\/rcm-fe.amazon-adsystem.com\/e\/cm?ref=tf_til&t=infotecr-22&m=amazon&o=9&p=8&l=as1&IS2=1&detail=1&asins=B07JFYT2KD&linkId=7647dcea2e8f89a765b79d819d02de48&bc1=000000&lt1=_blank&fc1=333333&lc1=0066c0&bg1=dddddd&f=ifr\"><br \/>\n    <\/iframe><\/p>\n<h3>RTX 2060<\/h3>\n<p><iframe style=\"width:120px;height:240px;\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" frameborder=\"0\" src=\"https:\/\/rcm-fe.amazon-adsystem.com\/e\/cm?ref=tf_til&t=infotecr-22&m=amazon&o=9&p=8&l=as1&IS2=1&detail=1&asins=B07MLTTDXS&linkId=c2012c17d3b695cb4583b485fe7d5fcb&bc1=000000&lt1=_blank&fc1=333333&lc1=0066c0&bg1=dddddd&f=ifr\"><br \/>\n    <\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>NVIDIA\u3088\u308a\u3001\u300cGraphics Reinvented\u300d\u306e\u6a19\u8a9e\u306e\u3082\u3068\u3001\u65b0GPU\u306e\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u300cTuring\u300d\u306e\u5185\u5bb9\u304c2018\u5e749\u670814\u65e5\u306b\u516c\u8868\u3055\u308c\u305f\u3002\u3053\u308c\u307e\u3067\u306e\u6700\u65b0\u306e\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u30fc\u300cPascal\u300d\u304b\u3089\u3069\u306e\u3088\u3046\u306b\u5909\u308f\u3063\u305f\u306e\u304b\u5206\u6790\u3057\u3066\u2026<\/p>\n","protected":false},"author":1,"featured_media":1155,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[15,58,50,52,57,56,55,51],"class_list":["post-1025","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-topics","tag-gpu","tag-gtx-1080-ti","tag-nvidia","tag-pascal","tag-rtx-2070","tag-rtx-2080","tag-rtx-2080-ti","tag-turing"],"_links":{"self":[{"href":"https:\/\/lab4ict.com\/blog\/wp-json\/wp\/v2\/posts\/1025","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lab4ict.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lab4ict.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lab4ict.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lab4ict.com\/blog\/wp-json\/wp\/v2\/comments?post=1025"}],"version-history":[{"count":1,"href":"https:\/\/lab4ict.com\/blog\/wp-json\/wp\/v2\/posts\/1025\/revisions"}],"predecessor-version":[{"id":8977,"href":"https:\/\/lab4ict.com\/blog\/wp-json\/wp\/v2\/posts\/1025\/revisions\/8977"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lab4ict.com\/blog\/wp-json\/wp\/v2\/media\/1155"}],"wp:attachment":[{"href":"https:\/\/lab4ict.com\/blog\/wp-json\/wp\/v2\/media?parent=1025"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lab4ict.com\/blog\/wp-json\/wp\/v2\/categories?post=1025"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lab4ict.com\/blog\/wp-json\/wp\/v2\/tags?post=1025"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}