{"id":66082,"date":"2026-10-19T20:00:00","date_gmt":"2026-10-19T12:00:00","guid":{"rendered":"https:\/\/www.biocloudservice.com\/wordpress\/?p=66082"},"modified":"2026-10-13T16:25:19","modified_gmt":"2026-10-13T08:25:19","slug":"virtual-analysis-server-rental-guide","status":"publish","type":"post","link":"https:\/\/www.biocloudservice.com\/wordpress\/virtual-analysis-server-rental-guide\/","title":{"rendered":"\u53cc\u865a\u62df\u3001\u4e09\u865a\u62df\u8dd1\u4e0d\u52a8\uff1f\u79df\u670d\u52a1\u5668\u524d\uff0c\u5148\u5206\u6e05\u8fd9\u4e09\u79cd\u74f6\u9888"},"content":{"rendered":"<p>\u5355\u4e2a\u57fa\u56e0\u80fd\u8dd1\uff0c\u6362\u6210\u4e00\u6279\u5019\u9009\u5c31\u5361\u4f4f\uff1b\u4e00\u6b21\u5bf9\u63a5\u6ca1\u95ee\u9898\uff0c\u4e0a\u5343\u4e2a\u5019\u9009\u5374\u4e00\u76f4\u6392\u961f\uff1b\u56e2\u961f\u51e0\u4e2a\u4eba\u540c\u65f6\u5f00\u4efb\u52a1\uff0c\u8c01\u90fd\u89c9\u5f97\u670d\u52a1\u5668\u53d8\u6162\u4e86\u3002<\/p>\n<p>\u8fd9\u7c7b\u95ee\u9898\u5f88\u5bb9\u6613\u88ab\u5f52\u7ed3\u4e3a\u201c\u670d\u52a1\u5668\u4e0d\u591f\u591a\u201d\u3002\u4f46<strong>\u4e00\u53f0\u88c5\u4e0d\u4e0b\u4efb\u52a1\u7684\u673a\u5668\uff0c\u6362\u6210\u4e09\u53f0\u540c\u6837\u7684\u673a\u5668\uff0c\u672a\u5fc5\u80fd\u8ba9\u8fd9\u4e2a\u4efb\u52a1\u8dd1\u8d77\u6765\u3002<\/strong>\u5148\u5224\u65ad\u4efb\u52a1\u80fd\u4e0d\u80fd\u62c6\u3001\u5361\u5728\u54ea\u91cc\uff0c\u518d\u51b3\u5b9a\u79df\u4ec0\u4e48\u914d\u7f6e\u3002<\/p>\n<h2>01\uff5c\u7f51\u7edc\u5206\u6790\uff1a\u5148\u770b\u5185\u5b58\uff0c\u522b\u53ea\u770b\u7ec6\u80de\u6570<\/h2>\n<p>\u865a\u62df\u6572\u9664\u53ef\u80fd\u6d89\u53ca\u7f51\u7edc\u6784\u5efa\u3001\u77e9\u9635\u8fd0\u7b97\u4ee5\u53ca\u91cd\u590d\u5206\u6790\u3002\u5185\u5b58\u9700\u6c42\u4e0d\u4ec5\u53d7\u7ec6\u80de\u6570\u5f71\u54cd\uff0c\u4e5f\u4e0e\u4fdd\u7559\u7684\u57fa\u56e0\u6570\u3001\u77e9\u9635\u8868\u793a\u3001\u7b97\u6cd5\u5b9e\u73b0\u548c\u540c\u65f6\u8fd0\u884c\u7684\u4efb\u52a1\u6570\u6709\u5173\u3002<\/p>\n<p>\u4e00\u4e2a\u7b80\u5355\u7684\u6570\u5b66\u793a\u4f8b\uff1a\u5982\u679c\u67d0\u4e00\u6b65\u9700\u8981\u4fdd\u5b58 G\u00d7G \u7684\u7a20\u5bc6\u53cc\u7cbe\u5ea6\u77e9\u9635\uff0c\u5355\u5f20\u77e9\u9635\u7ea6\u5360 8G\u00b2 \u5b57\u8282\u3002G \u4e3a 20,000 \u65f6\uff0c\u7ea6\u4e3a 3.2 GB\uff08\u5341\u8fdb\u5236\uff09\u3002\u8fd9<strong>\u53ea\u662f\u4e00\u5f20\u77e9\u9635\u7684\u5b58\u50a8\u91cf<\/strong>\uff0c\u4e0d\u5305\u62ec\u4e2d\u95f4\u526f\u672c\u3001\u5206\u89e3\u8fc7\u7a0b\u3001\u91cd\u590d\u7f51\u7edc\u548c\u5176\u4ed6\u5bf9\u8c61\uff0c\u4e0d\u80fd\u76f4\u63a5\u5f53\u4f5c\u6574\u4e2a\u8f6f\u4ef6\u7684\u5185\u5b58\u89c4\u683c\u3002<\/p>\n<p>\u56e0\u6b64\uff0c\u914d\u7f6e\u54a8\u8be2\u65f6\u9664\u4e86\u201c\u591a\u5c11\u7ec6\u80de\u201d\uff0c\u8fd8\u5e94\u63d0\u4f9b\u4fdd\u7559\u591a\u5c11\u57fa\u56e0\u3001\u4f7f\u7528\u4ec0\u4e48\u65b9\u6cd5\u3001\u8ba1\u5212\u540c\u65f6\u5206\u6790\u591a\u5c11\u5019\u9009\u3002\u51fa\u73b0\u5185\u5b58\u4e0d\u8db3\u65f6\uff0c\u5148\u786e\u8ba4\u62a5\u9519\u548c\u5b9e\u9645\u5cf0\u503c\uff0c\u518d\u5224\u65ad\u662f\u5426\u9700\u8981\u9ad8\u5185\u5b58\u5b9e\u4f8b\u6216\u8c03\u6574\u5b9e\u73b0\u3002<\/p>\n<h2>02\uff5c\u6279\u91cf\u7b5b\u9009\uff1a\u8ba9 CPU \u7ebf\u7a0b\u548c\u5e76\u53d1\u914d\u5408\u8d77\u6765<\/h2>\n<p>\u4f20\u7edf AutoDock Vina \u7684\u8ba1\u7b97\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a CPU \u6838\uff1b\u641c\u7d22\u5f3a\u5ea6\u7b49\u53c2\u6570\u4e5f\u5f71\u54cd\u5de5\u4f5c\u91cf\u3002\u5b98\u65b9\u624b\u518c\u89e3\u91ca\u4e86 CPU \u4e0e exhaustiveness \u7684\u4f5c\u7528\u3002\u9009\u578b\u5fc5\u987b\u5bf9\u5e94\u4f60\u5b9e\u9645\u4f7f\u7528\u7684\u7a0b\u5e8f\u548c\u7248\u672c\uff0c\u4e0d\u80fd\u628a\u6240\u6709\u201c\u865a\u62df\u7b5b\u9009\u201d\u90fd\u9ed8\u8ba4\u5f52\u5230 GPU\u3002<a href=\"https:\/\/vina.scripps.edu\/manual\/\">[1]<\/a><\/p>\n<p>\u505a\u591a\u4e2a\u72ec\u7acb\u5bf9\u63a5\u4efb\u52a1\u65f6\uff0c\u53ef\u4ee5\u8003\u8651\u4efb\u52a1\u7ea7\u5e76\u884c\u3002\u4f46\u5982\u679c\u6bcf\u4e2a\u4efb\u52a1\u90fd\u81ea\u52a8\u5360\u6ee1\u5168\u90e8\u7ebf\u7a0b\uff0c\u540c\u65f6\u542f\u52a8\u5f88\u591a\u4efb\u52a1\uff0c\u53ef\u80fd\u5f62\u6210\u8d44\u6e90\u4e89\u62a2\u3002\u5e94\u8054\u5408\u6d4b\u8bd5\u201c\u5355\u4efb\u52a1\u7ebf\u7a0b\u6570\u00d7\u5e76\u53d1\u4efb\u52a1\u6570\u201d\uff0c\u6bd4\u8f83\u5355\u4f4d\u65f6\u95f4\u771f\u6b63\u5b8c\u6210\u4e86\u591a\u5c11\u4efb\u52a1\u3002<\/p>\n<figure class=\"wp-block-table\">\n<table class=\"virtual-comparison\">\n<tr>\n<th>\u4efb\u52a1\u4e0e\u75c7\u72b6<\/th>\n<th>\u4f18\u5148\u68c0\u67e5<\/th>\n<th>\u79df\u8d41\u65b9\u5411<\/th>\n<\/tr>\n<tr>\n<td>\u7f51\u7edc\u6784\u5efa\u5185\u5b58\u4e0d\u8db3<\/td>\n<td>\u5cf0\u503c\u5185\u5b58\u3001\u77e9\u9635\u526f\u672c<\/td>\n<td>\u9ad8\u5185\u5b58\u73af\u5883<\/td>\n<\/tr>\n<tr>\n<td>\u6279\u91cf\u5bf9\u63a5\u603b\u8017\u65f6\u957f<\/td>\n<td>\u5355\u4efb\u52a1\u7ebf\u7a0b\u4e0e\u5e76\u53d1\u6548\u7387<\/td>\n<td>CPU \u5e76\u884c\u8d44\u6e90<\/td>\n<\/tr>\n<tr>\n<td>\u6df1\u5ea6\u6a21\u578b\u663e\u5b58\u4e0d\u8db3<\/td>\n<td>\u6a21\u578b\u3001\u6279\u5927\u5c0f\u4e0e\u663e\u5b58\u5cf0\u503c<\/td>\n<td>\u5339\u914d\u663e\u5b58\u7684 GPU<\/td>\n<\/tr>\n<tr>\n<td>\u591a\u4eba\u4efb\u52a1\u4e92\u76f8\u62d6\u6162<\/td>\n<td>\u5e76\u53d1\u3001\u78c1\u76d8 I\/O \u4e0e\u9650\u989d<\/td>\n<td>\u72ec\u4eab\u6216\u53d7\u63a7\u5171\u4eab\u73af\u5883<\/td>\n<\/tr>\n<\/table>\n<\/figure>\n<p>\u8868\u4e2d\u662f\u9009\u578b\u65b9\u5411\uff0c\u4e0d\u662f\u56fa\u5b9a\u914d\u7f6e\u627f\u8bfa\u3002\u4e0d\u540c\u7248\u672c\u548c\u6570\u636e\u9700\u8981\u7528\u540c\u4e00\u8bd5\u8dd1\u4efb\u52a1\u6bd4\u8f83\u3002<\/p>\n<figure class=\"wp-block-image size-full\" style=\"margin:28px 0\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/www.biocloudservice.com\/wordpress\/wp-content\/uploads\/2026\/10\/virtual-series-20261012-03-poster.png?resize=1080%2C1440&#038;ssl=1\" width=\"1080\" height=\"1440\" loading=\"lazy\" alt=\"\u865a\u62df\u5206\u6790\u8dd1\u4e0d\u52a8\uff0c\u670d\u52a1\u5668\u8be5\u600e\u4e48\u79df\uff1f\uff1b\u5185\u5b58\u88c5\u5f97\u4e0b \u00b7 \u5e76\u884c\u8dd1\u5f97\u7a33 \u00b7 \u73af\u5883\u53ef\u590d\u73b0\uff1b\u626b\u7801\u54a8\u8be2\u670d\u52a1\u5668\u914d\u7f6e\u4e0e\u79df\u8d41\"><\/figure>\n<p>\u6d77\u62a5\u628a\u4e09\u4ef6\u4e8b\u8fde\u8d77\u6765\uff1a\u5148\u8bc6\u522b\u74f6\u9888\uff0c\u6309\u771f\u5b9e\u4efb\u52a1\u6d4b\u8d44\u6e90\uff0c\u518d\u54a8\u8be2\u79df\u8d41\u3002\u51c6\u5907\u597d\u6570\u636e\u89c4\u6a21\u548c\u62a5\u9519\uff0c\u6bd4\u53ea\u95ee\u201c\u591a\u5c11\u94b1\u4e00\u53f0\u201d\u66f4\u5bb9\u6613\u62ff\u5230\u5408\u9002\u65b9\u6848\u3002<\/p>\n<h2>03\uff5cGPU \u548c\u591a\u8282\u70b9\uff0c\u8981\u6709\u660e\u786e\u4f7f\u7528\u7406\u7531<\/h2>\n<p>\u5982\u679c\u8fd8\u8981\u7528\u6df1\u5ea6\u5b66\u4e60\u6270\u52a8\u6a21\u578b\u6216\u7ee7\u7eed\u505a\u5206\u5b50\u52a8\u529b\u5b66\uff0cGPU \u53ef\u80fd\u6709\u4ef7\u503c\u3002\u4f46\u8981\u6838\u5bf9\u8f6f\u4ef6\u662f\u5426\u652f\u6301 GPU\u3001\u54ea\u4e9b\u8ba1\u7b97\u80fd\u5378\u8f7d\u3001\u663e\u5b58\u662f\u5426\u8db3\u591f\uff0c\u4ee5\u53ca CPU \u548c GPU \u662f\u5426\u642d\u914d\u5408\u7406\u3002GROMACS \u5b98\u65b9\u8d44\u6599\u5f3a\u8c03\u6309\u8ba1\u7b97\u4efb\u52a1\u5728 CPU \u4e0e GPU \u4e4b\u95f4\u5206\u5de5\uff0c\u5177\u4f53\u6027\u80fd\u53d6\u51b3\u4e8e\u5b9e\u9645\u4f53\u7cfb\u4e0e\u914d\u7f6e\u3002<a href=\"https:\/\/www.gromacs.org\/topic\/heterogeneous_parallelization.html\">[2]<\/a><\/p>\n<p>\u5206\u5b50\u52a8\u529b\u5b66\u662f\u53ef\u9009\u7684\u540e\u7eed\u8ba1\u7b97\uff0c\u4e0d\u662f\u6bcf\u7bc7\u201c\u4e09\u865a\u62df\u201d\u90fd\u5fc5\u987b\u52a0\u4e0a\u7684\u6a21\u5757\u3002\u591a\u53f0\u670d\u52a1\u5668\u66f4\u9002\u5408\u53ef\u62c6\u5206\u7684\u5019\u9009\u3001\u53c2\u6570\u6216\u72ec\u7acb\u91cd\u590d\uff1b\u5355\u4e2a\u4efb\u52a1\u8de8\u8282\u70b9\u6269\u5c55\u5219\u8981\u6709\u8f6f\u4ef6\u548c\u901a\u4fe1\u652f\u6301\uff0c\u4e0d\u80fd\u628a\u591a\u4e2a\u8282\u70b9\u7684\u5185\u5b58\u76f4\u63a5\u5f53\u6210\u666e\u901a\u5355\u673a\u5185\u5b58\u76f8\u52a0\u3002<\/p>\n<h2>04\uff5c\u5148\u8bd5\u8dd1\uff0c\u518d\u7b97\u9879\u76ee\u603b\u6210\u672c<\/h2>\n<p>\u4f8b\u5982\uff0c\u8ba1\u5212\u5b8c\u6210 1,000 \u4e2a\u6761\u4ef6\u8fd1\u4f3c\u7684\u4efb\u52a1\uff0c\u8bd5\u8dd1\u4e2d\u6bcf\u4e2a\u4efb\u52a1\u5e73\u5747\u8017\u65f6 12 \u5206\u949f\u3002\u603b\u91cf\u662f 200 \u4e2a\u4efb\u52a1\u5c0f\u65f6\uff1b\u82e5\u5e76\u53d1 10 \u4e2a\u4e14\u4e92\u4e0d\u62d6\u6162\uff0c\u7406\u60f3\u6267\u884c\u65f6\u95f4\u7ea6\u4e3a 20 \u5c0f\u65f6\u3002\u8fd9\u662f<strong>\u6559\u5b66\u4f30\u7b97<\/strong>\uff0c\u8fd8\u6ca1\u8ba1\u5165\u6392\u961f\u3001\u9884\u5904\u7406\u3001\u5931\u8d25\u91cd\u8dd1\u548c I\/O \u5f00\u9500\uff0c\u4e5f\u4e0d\u662f\u4e91\u751f\u4fe1\u6027\u80fd\u627f\u8bfa\u3002<\/p>\n<p>\u5b9e\u9645\u6bd4\u8f83\u65b9\u6848\u65f6\uff0c\u5e94\u56fa\u5b9a\u8f6f\u4ef6\u3001\u8f93\u5165\u4e0e\u53c2\u6570\uff0c\u8bb0\u5f55\u5cf0\u503c\u5185\u5b58\u3001\u5355\u4efb\u52a1\u8017\u65f6\u3001\u5e76\u53d1\u541e\u5410\u3001\u5931\u8d25\u7387\u548c\u5b58\u50a8\u589e\u957f\u3002\u79df\u8d41\u6210\u672c\u4e5f\u8981\u7b97\u4e0a\u5b58\u50a8\u3001\u5907\u4efd\u3001\u73af\u5883\u652f\u6301\u548c\u4f7f\u7528\u671f\u9650\uff0c\u800c\u4e0d\u53ea\u662f\u6838\u5fc3\u6570\u3002<\/p>\n<h2>05\uff5c\u9700\u8981\u7684\u662f\u80fd\u627f\u63a5\u5f53\u524d\u4efb\u52a1\u7684\u8ba1\u7b97\u73af\u5883<\/h2>\n<p>\u4e91\u751f\u4fe1\u63d0\u4f9b RStudio\u3001Python\u3001Jupyter 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