<script type="application/ld+json">{"@context":"http://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.simcentric.com/sc/"},{"@type":"ListItem","position":2,"name":"为什么 AMD MI350P 在 AI 硬件中始终脱颖而出","item":"https://www.simcentric.com/sc/japan-dedicated-server-sc/why-amd-mi350p-always-stands-out-in-ai-hardware/"}]}</script> {"id":31975,"date":"2026-05-11T11:05:23","date_gmt":"2026-05-11T03:05:23","guid":{"rendered":"https:\/\/www.simcentric.com\/uncategorized-sc\/why-amd-mi350p-always-stands-out-in-ai-hardware\/"},"modified":"2026-05-11T11:10:55","modified_gmt":"2026-05-11T03:10:55","slug":"why-amd-mi350p-always-stands-out-in-ai-hardware","status":"publish","type":"post","link":"https:\/\/www.simcentric.com\/sc\/japan-dedicated-server-sc\/why-amd-mi350p-always-stands-out-in-ai-hardware\/","title":{"rendered":"\u4e3a\u4ec0\u4e48 AMD MI350P \u5728 AI \u786c\u4ef6\u4e2d\u59cb\u7ec8\u8131\u9896\u800c\u51fa"},"content":{"rendered":"<p>\u4f60\u9700\u8981\u80fd\u5e26\u6765\u5373\u65f6\u6210\u679c\u7684<a href=\"https:\/\/www.simcentric.com\/sc\/hong-kong-dedicated-server-sc\/the-differences-and-connections-token-factories-and-aidc\/\" target=\"_blank\" rel=\"noopener\">AI \u786c\u4ef6<\/a>\uff0c\u800c AMD MI350P \u6b63\u662f\u8fd9\u6837\u7684\u9009\u62e9\u3002MI350P \u652f\u6301\u5728\u5355\u53f0\u7cfb\u7edf\u4e2d\u6dfb\u52a0\u591a\u8fbe\u516b\u5f20\u5361\uff0c\u8ba9\u4f60\u5728\u65e0\u9700\u66f4\u6539\u6570\u636e\u4e2d\u5fc3\u3001\u4e5f\u4e0d\u4f1a\u5e72\u6270\u73b0\u6709<a href=\"https:\/\/www.simcentric.com\/sc\/products\/dedicated-server-jp\/\" target=\"_blank\" rel=\"noopener\">\u65e5\u672c\u670d\u52a1\u5668\u79df\u7528<\/a>\u57fa\u7840\u8bbe\u65bd\u7684\u60c5\u51b5\u4e0b\u63d0\u5347\u901f\u5ea6\u3002\u8fd9\u79cd\u4fbf\u6377\u96c6\u6210\u80fd\u529b\u4f7f AMD \u5728\u4f17\u591a\u65b9\u6848\u4e2d\u8131\u9896\u800c\u51fa\u3002\u5f53\u4f60\u8bad\u7ec3\u751f\u6210\u5f0f\u6216 Agentic AI \u65f6\uff0cMI350P \u4f1a\u7528\u771f\u5b9e\u53ef\u91cf\u5316\u7684\u6570\u5b57\u8bc1\u660e\u5b9e\u529b\u2014\u2014\u5c24\u5176\u662f\u5728\u5bf9\u6027\u80fd\u8981\u6c42\u6781\u9ad8\u7684\u65e5\u672c\u670d\u52a1\u5668\u79df\u7528\u90e8\u7f72\u573a\u666f\u4e2d\u3002<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 100px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u6a21\u578b<\/th>\n<th colspan=\"1\" rowspan=\"1\">MI355X \u8bad\u7ec3\u65f6\u95f4<\/th>\n<th colspan=\"1\" rowspan=\"1\">NVIDIA B200 \u5e73\u5747\u65f6\u95f4<\/th>\n<th colspan=\"1\" rowspan=\"1\">NVIDIA B300 \u5e73\u5747\u65f6\u95f4<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Llama 2-70B LoRA (FP8)<\/td>\n<td colspan=\"1\" rowspan=\"1\">10.18 \u5206\u949f<\/td>\n<td colspan=\"1\" rowspan=\"1\">9.85 \u5206\u949f<\/td>\n<td colspan=\"1\" rowspan=\"1\">9.59 \u5206\u949f<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Llama 3.1-8B (FP8)<\/td>\n<td colspan=\"1\" rowspan=\"1\">99.7 \u5206\u949f<\/td>\n<td colspan=\"1\" rowspan=\"1\">93.69 \u5206\u949f<\/td>\n<td colspan=\"1\" rowspan=\"1\">95.10 \u5206\u949f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4f60\u5c06\u83b7\u5f97\u9876\u7ea7\u6027\u80fd\u3001\u65e0\u7f1d\u90e8\u7f72\u4f53\u9a8c\uff0c\u4ee5\u53ca\u5bf9 AMD \u786c\u4ef6\u7684\u4fe1\u5fc3\u2014\u2014\u5b83\u5df2\u4e3a\u4f60\u7684\u4e0b\u4e00\u4e2a\u5927\u578b AI \u9879\u76ee\u505a\u597d\u51c6\u5907\u3002<\/p>\n<h2><strong>\u5173\u952e\u8981\u70b9<\/strong><\/h2>\n<ul>\n<li>AMD MI350P \u5177\u5907 128 \u4e2a\u8ba1\u7b97\u5355\u5143\u548c 144GB HBM3E \u5185\u5b58\uff0cAI \u6027\u80fd\u5353\u8d8a\uff0c\u975e\u5e38\u9002\u5408\u5927\u578b AI \u6a21\u578b\u3002<\/li>\n<li>\u53ef\u8f7b\u677e\u96c6\u6210\u5230\u73b0\u6709\u6570\u636e\u4e2d\u5fc3\uff0c\u8ba9\u7528\u6237\u5728\u65e0\u9700\u6602\u8d35\u5347\u7ea7\u6216\u91cd\u65b0\u8bbe\u8ba1\u7684\u60c5\u51b5\u4e0b\u6269\u5c55 AI \u80fd\u529b\u3002<\/li>\n<li>MI350P \u663e\u8457\u7f29\u77ed\u8bad\u7ec3\u65f6\u95f4\uff0c\u5728 FP16 \u8ba1\u7b97\u6027\u80fd\u4e0a\u53ef\u6bd4\u90e8\u5206\u7ade\u54c1\u5feb\u9ad8\u8fbe 40%\u3002<\/li>\n<li>4TB\/s \u7684\u9ad8\u5185\u5b58\u5e26\u5bbd\u786e\u4fdd\u6570\u636e\u6d41\u7545\u4f20\u8f93\uff0c\u5728 AI \u63a8\u7406\u548c\u8bad\u7ec3\u4e2d\u6709\u6548\u907f\u514d\u74f6\u9888\u3002<\/li>\n<li>MI350P \u7684\u6a21\u5757\u5316\u8bbe\u8ba1\u652f\u6301\u672a\u6765\u6269\u5c55\uff0c\u4f7f\u4f01\u4e1a\u80fd\u591f\u6309\u9700\u6269\u5c55 AI \u57fa\u7840\u8bbe\u65bd\u3002<\/li>\n<\/ul>\n<h2><strong>AMD MI350P \u6838\u5fc3\u7279\u6027<\/strong><\/h2>\n<h3>\u5148\u8fdb\u7684 AI \u8ba1\u7b97\u80fd\u529b<\/h3>\n<p>\u4f60\u9700\u8981\u5f3a\u5927\u7684 AI \u8ba1\u7b97\u80fd\u529b\u6765\u5e94\u5bf9\u6700\u82db\u523b\u7684\u5de5\u4f5c\u8d1f\u8f7d\u3002MI350P \u63d0\u4f9b 128 \u4e2a\u8ba1\u7b97\u5355\u5143\u30018,192 \u4e2a\u6d41\u5904\u7406\u5668\u548c 512 \u4e2a\u77e9\u9635\u6838\u5fc3\uff0c\u8fd9\u4e9b\u7279\u6027\u534f\u540c\u5de5\u4f5c\uff0c\u4e3a AI \u4efb\u52a1\u5e26\u6765\u51fa\u8272\u6027\u80fd\u3002AMD MI350P \u91c7\u7528\u7684 CDNA 4 \u67b6\u6784\u4e13\u4e3a AI \u4f18\u5316\uff0c\u800c\u4e0d\u53ea\u662f\u4f20\u7edf GPU \u8ba1\u7b97\uff0c\u56e0\u6b64\u4f60\u80fd\u83b7\u5f97\u66f4\u5feb\u7684\u7ed3\u679c\uff1aMI350P \u964d\u4f4e\u6570\u636e\u7b49\u5f85\u65f6\u95f4\uff0c\u5e76\u80fd\u8f7b\u677e\u5904\u7406\u6d77\u91cf\u6570\u636e\u96c6\u3002<\/p>\n<p>\u4e0b\u9762\u662f\u9a71\u52a8 MI350P \u9ad8\u7ea7 AI \u5904\u7406\u80fd\u529b\u7684\u5173\u952e\u6280\u672f\u89c4\u683c\u4e00\u89c8\uff1a<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 50px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u89c4\u683c<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u6570\u503c<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u8ba1\u7b97\u5355\u5143\uff08Compute Units\uff09<\/td>\n<td colspan=\"1\" rowspan=\"1\">128<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u672b\u7ea7\u7f13\u5b58\uff08Last-Level Cache\uff09<\/td>\n<td colspan=\"1\" rowspan=\"1\">128MB<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u9884\u4f30\u6027\u80fd\uff08TFLOPs\uff09<\/td>\n<td colspan=\"1\" rowspan=\"1\">2,299\uff08\u9884\u4f30\uff09\uff0c4,600\uff08\u5cf0\u503c\uff09<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">FP64 \u6027\u80fd\u63d0\u5347<\/td>\n<td colspan=\"1\" rowspan=\"1\">20%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">FP16 \u6027\u80fd\u63d0\u5347<\/td>\n<td colspan=\"1\" rowspan=\"1\">40%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">FP8 \u6027\u80fd\u63d0\u5347<\/td>\n<td colspan=\"1\" rowspan=\"1\">39%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u5728\u771f\u5b9e\u7684 AI \u5de5\u4f5c\u8d1f\u8f7d\u4e2d\uff0c\u4f60\u80fd\u6e05\u6670\u611f\u53d7\u5230\u5dee\u5f02\u3002MI350P \u4e13\u6ce8\u4e8e\u4f4e\u7cbe\u5ea6\u8ba1\u7b97\uff0c\u4f7f\u4f60\u53ef\u4ee5\u66f4\u5feb\u901f\u5730\u8bad\u7ec3\u548c\u90e8\u7f72\u6a21\u578b\u3002\u540c\u65f6\uff0c\u6bcf\u4e2a\u8ba1\u7b97\u5355\u5143\u62e5\u6709\u66f4\u9ad8\u7684\u5185\u5b58\u5bb9\u91cf\u548c\u5e26\u5bbd\uff0c\u786e\u4fdd AI \u6d41\u6c34\u7ebf\u6301\u7eed\u9ad8\u6548\u8fd0\u884c\u3002<\/p>\n<h3>HBM3E \u5185\u5b58\u67b6\u6784<\/h3>\n<p>MI350P \u4ee5\u5176 144GB HBM3E \u5185\u5b58\u8131\u9896\u800c\u51fa\u3002\u5982\u6b64\u5e9e\u5927\u7684\u5185\u5b58\u5bb9\u91cf\u8ba9\u4f60\u5728\u5904\u7406\u66f4\u5927\u89c4\u6a21\u7684 AI \u6a21\u578b\u548c\u6570\u636e\u96c6\u65f6\u4e0d\u6613\u906d\u9047\u6027\u80fd\u74f6\u9888\u30024TB\/s \u7684\u5185\u5b58\u5e26\u5bbd\u8ba9\u6570\u636e\u5728 GPU \u4e0e\u5185\u5b58\u4e4b\u95f4\u9ad8\u901f\u6d41\u52a8\uff0c\u8fd9\u4e00\u70b9\u5bf9\u4e8e\u6bcf\u79d2\u5fc5\u4e89\u7684 AI \u63a8\u7406\u4e0e\u8bad\u7ec3\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<p>\u4e0b\u9762\u770b\u770b HBM3E \u5185\u5b58\u67b6\u6784\u5982\u4f55\u63d0\u5347\u4f60\u7684 AI \u6027\u80fd\uff1a<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 50px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u6307\u6807<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u6570\u503c<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5185\u5b58\u5bb9\u91cf<\/td>\n<td colspan=\"1\" rowspan=\"1\">144 GB HBM3E<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5185\u5b58\u5e26\u5bbd<\/td>\n<td colspan=\"1\" rowspan=\"1\">4 TB\/s<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">AI \u8ba1\u7b97\u6027\u80fd<\/td>\n<td colspan=\"1\" rowspan=\"1\">4.6 PFLOPs MXFP4<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">FP16 \u6027\u80fd<\/td>\n<td colspan=\"1\" rowspan=\"1\">72 TFLOPs FP16<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">FP32 \u6027\u80fd<\/td>\n<td colspan=\"1\" rowspan=\"1\">72 TFLOPs FP32<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">FP64 \u6027\u80fd<\/td>\n<td colspan=\"1\" rowspan=\"1\">36 TFLOPs FP64<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">INT8 \u6027\u80fd<\/td>\n<td colspan=\"1\" rowspan=\"1\">2.3 POPs INT8<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">BFloat16 \u6027\u80fd<\/td>\n<td colspan=\"1\" rowspan=\"1\">1.15 PFLOPs BFloat16<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4f7f\u7528 MI350P\uff0c\u4f60\u53ef\u4ee5\u907f\u514d\u56e0\u5185\u5b58\u6c60\u8fc7\u5c0f\u800c\u5bfc\u81f4\u7684\u6027\u80fd\u4e0b\u964d\u3002\u4f60\u53ef\u4ee5\u8fd0\u884c\u590d\u6742\u7684 AI \u6a21\u578b\u3001\u5904\u7406\u6d77\u91cf\u6570\u636e\u96c6\uff0c\u800c\u65e0\u9700\u8fc7\u591a\u62c5\u5fc3\u5185\u5b58\u9650\u5236\u3002\u9ad8\u5e26\u5bbd\u5219\u786e\u4fdd\u6570\u636e\u4f20\u8f93\u987a\u7545\uff0c\u4ece\u800c\u4e3a\u4f60\u7684 AI \u9879\u76ee\u5e26\u6765\u66f4\u5feb\u7ed3\u679c\u548c\u66f4\u9ad8\u6548\u7387\u3002<\/p>\n<h3>\u9ad8\u6548\u7684 PCIe \u96c6\u6210<\/h3>\n<p>\u4f60\u9700\u8981\u80fd\u591f\u65e0\u7f1d\u878d\u5165\u73b0\u6709\u6570\u636e\u4e2d\u5fc3\u57fa\u7840\u8bbe\u65bd\u7684\u786c\u4ef6\u3002AMD Instinct MI350P PCIe \u5361\u6b63\u662f\u4e3a\u6b64\u800c\u751f\u3002\u8fd9\u4e9b\u53cc\u63d2\u69fd\u3001\u98ce\u51b7\u7684 PCIe \u5361\u4e13\u4e3a\u6807\u51c6\u670d\u52a1\u5668\u800c\u8bbe\u8ba1\uff0c\u4f60\u51e0\u4e4e\u4e0d\u7528\u6539\u52a8\u73b0\u6709\u67b6\u6784\u5373\u53ef\u90e8\u7f72\u3002\u4f60\u53ef\u4ee5\u5728\u652f\u6301\u5355\u53f0\u7cfb\u7edf\u6700\u591a\u5b89\u88c5\u516b\u5f20\u5361\u7684\u524d\u63d0\u4e0b\uff0c\u5145\u5206\u4eab\u53d7 MI350P \u5e26\u6765\u7684\u5f3a\u5927\u7b97\u529b\u3002<\/p>\n<p>\u4ee5\u4e0b\u662f AMD Instinct MI350P PCIe \u5361\u7b80\u5316\u90e8\u7f72\u7684\u539f\u56e0\uff1a<\/p>\n<ul>\n<li>\u53ef\u4ee5\u76f4\u63a5\u63d2\u5165\u6807\u51c6\u98ce\u51b7\u670d\u52a1\u5668\u4e2d\u4f7f\u7528\u3002<\/li>\n<li>\u5361\u7247\u53ef\u4e0e\u73b0\u6709\u4f9b\u7535\u548c\u6563\u70ed\u7cfb\u7edf\u517c\u5bb9\uff0c\u907f\u514d\u6602\u8d35\u5347\u7ea7\u3002<\/li>\n<li>\u53ef\u6839\u636e\u4e1a\u52a1\u589e\u957f\u9700\u6c42\u9010\u6b65\u589e\u52a0 AMD Instinct MI350P PCIe \u5361\uff0c\u4ece\u800c\u6269\u5c55 AI \u80fd\u529b\u3002<\/li>\n<li>PCIe \u5361\u5e2e\u52a9\u4f60\u4ece\u88f8\u673a\u57fa\u7840\u8bbe\u65bd\u5feb\u901f\u8dc3\u8fc1\u5230\u53ef\u6295\u4ea7\u7684 AI \u7cfb\u7edf\u3002<\/li>\n<li>\u5de5\u4f5c\u8d1f\u8f7d\u8fc1\u79fb\u65f6\u65e0\u9700\u91cd\u5199\u4ee3\u7801\uff0c\u5927\u5e45\u8282\u7701\u65f6\u95f4\u4e0e\u8d44\u6e90\u3002<\/li>\n<li>AMD Instinct MI350P PCIe \u5361\u53ef\u65e0\u7f1d\u63a5\u5165\u4f60\u7684 AI \u6d41\u6c34\u7ebf\uff0c\u9879\u76ee\u63a8\u8fdb\u66f4\u987a\u7545\u3002<\/li>\n<\/ul>\n<blockquote><p>\u63d0\u793a\uff1aAMD Instinct MI350P PCIe \u5361\u4e3a\u4f60\u5e26\u6765\u6781\u5f3a\u7684\u7075\u6d3b\u6027\u4e0e\u53ef\u6269\u5c55\u6027\u3002\u4f60\u53ef\u4ee5\u4ece\u5c0f\u89c4\u6a21\u8d77\u6b65\uff0c\u968f\u7740 AI \u5de5\u4f5c\u8d1f\u8f7d\u7684\u589e\u957f\u9010\u6b65\u6269\u5c55\uff0c\u540c\u65f6\u4fdd\u6301\u6570\u636e\u4e2d\u5fc3\u57fa\u7840\u8bbe\u65bd\u4e0d\u53d8\u3002<\/p><\/blockquote>\n<p>\u5148\u8fdb AI \u8ba1\u7b97\u80fd\u529b\u3001\u5e9e\u5927 HBM3E \u5185\u5b58\u4ee5\u53ca\u9ad8\u6548 PCIe \u96c6\u6210\u4e09\u8005\u5408\u4e00\uff0c\u4f7f MI350P \u6210\u4e3a\u517c\u987e\u9876\u7ea7 AI \u6027\u80fd\u4e0e\u6613\u7528\u6027\u7684\u7406\u6027\u4e4b\u9009\u3002<\/p>\n<h2><strong>MI350P \u5728 AI \u5de5\u4f5c\u8d1f\u8f7d\u4e2d\u7684\u8868\u73b0<\/strong><\/h2>\n<h3>FP16 \u4e0e FP8 \u8ba1\u7b97\u901f\u5ea6<\/h3>\n<p>\u4f60\u5e0c\u671b AI \u5de5\u4f5c\u8d1f\u8f7d\u5728\u901f\u5ea6\u548c\u6548\u7387\u4e0a\u5747\u6709\u6240\u63d0\u5347\u3002MI350P \u5728 FP16 \u548c FP8 \u8ba1\u7b97\u6027\u80fd\u4e0a\u4e3a\u4f60\u5e26\u6765\u660e\u663e\u4f18\u52bf\uff1a\u4e0e NVIDIA H200 NVL \u76f8\u6bd4\uff0cFP16 \u8ba1\u7b97\u6027\u80fd\u6700\u9ad8\u53ef\u63d0\u5347\u7ea6 40%\uff1b\u5728 FP8 \u7406\u8bba\u8ba1\u7b97\u6027\u80fd\u4e0a\u4e5f\u53ef\u63d0\u5347\u7ea6 39%\u3002\u8fd9\u4e9b\u63d0\u5347\u8ba9\u4f60\u80fd\u66f4\u5feb\u5b8c\u6210\u6a21\u578b\u8bad\u7ec3\uff0c\u5e76\u7f29\u77ed\u63a8\u7406\u6240\u9700\u65f6\u95f4\u3002<\/p>\n<ul>\n<li>MI350P \u7684 FP16 \u8ba1\u7b97\u6027\u80fd\u53ef\u8fbe 2.3 PFLOPs\u3002<\/li>\n<li>\u4f60\u540c\u6837\u53ef\u4ee5\u83b7\u5f97 2.3 PFLOPs \u7684 FP8 \u8ba1\u7b97\u6027\u80fd\u3002<\/li>\n<li>MI350P \u5728 FP64 \u8ba1\u7b97\u4e0a\u53ef\u8fbe\u5230 36 TFLOPs\u3002<\/li>\n<li>\u5728 Llama 2 70B \u4e0a\uff0cMI350P \u7684\u541e\u5410\u91cf\u76f8\u8f83 MI300X \u53ef\u63d0\u5347\u81f3\u591a 3.5 \u500d\u3002<\/li>\n<li>\u5728\u7c7b GPT\u20113 \u5de5\u4f5c\u8d1f\u8f7d\u4e0a\uff0cMI350P \u96c6\u7fa4\u53ef\u4e0e NVIDIA H100 \u96c6\u7fa4\u76f8\u5ab2\u7f8e\u3002<\/li>\n<li>\u4f60\u53ef\u4ee5\u5728\u6570\u65e5\u5185\u5b8c\u6210\u4e07\u4ebf\u53c2\u6570\u6a21\u578b\u7684\u8bad\u7ec3\uff0c\u800c\u4e0d\u518d\u662f\u6570\u5468\u3002<\/li>\n<\/ul>\n<blockquote><p>\u8bf4\u660e\uff1aMI350P \u4f18\u5f02\u7684 FP16 \u548c FP8 \u8ba1\u7b97\u901f\u5ea6\uff0c\u76f4\u63a5\u8f6c\u5316\u4e3a\u66f4\u77ed\u7684\u8bad\u7ec3\u65f6\u95f4\u4ee5\u53ca\u66f4\u9ad8\u7684 AI \u5de5\u4f5c\u8d1f\u8f7d\u6548\u7387\u3002\u4f60\u82b1\u5728\u7b49\u5f85\u7ed3\u679c\u4e0a\u7684\u65f6\u95f4\u66f4\u5c11\uff0c\u628a\u66f4\u591a\u7cbe\u529b\u6295\u5165\u521b\u65b0\u3002<\/p><\/blockquote>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 100px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u6307\u6807<\/th>\n<th colspan=\"1\" rowspan=\"1\">AMD MI350P<\/th>\n<th colspan=\"1\" rowspan=\"1\">Nvidia H200 NVL<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u63d0\u5347\u5e45\u5ea6<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">FP16 \u8ba1\u7b97<\/td>\n<td colspan=\"1\" rowspan=\"1\">2.3 PFLOPs<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u8f83\u4f4e<\/td>\n<td colspan=\"1\" rowspan=\"1\">43%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">FP8 \u8ba1\u7b97<\/td>\n<td colspan=\"1\" rowspan=\"1\">2.3 PFLOPs<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u8f83\u4f4e<\/td>\n<td colspan=\"1\" rowspan=\"1\">39%<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">FP64 \u8ba1\u7b97<\/td>\n<td colspan=\"1\" rowspan=\"1\">36 TFLOPs<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u8f83\u4f4e<\/td>\n<td colspan=\"1\" rowspan=\"1\">20%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u8fd9\u4e9b\u6570\u636e\u5728\u771f\u5b9e AI \u6027\u80fd\u4e2d\u90fd\u6709\u6240\u4f53\u73b0\u3002MI350P \u8ba9\u4f60\u8f7b\u677e\u5e94\u5bf9\u9ad8\u5f3a\u5ea6\u63a8\u7406\u5de5\u4f5c\u8d1f\u8f7d\uff0c\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u548c\u590d\u6742\u6a21\u578b\u65f6\u4e0d\u518d\u8f7b\u6613\u51fa\u73b0\u74f6\u9888\u3002<\/p>\n<h3>Instinct \u7cfb\u5217\u57fa\u51c6\u5bf9\u6bd4<\/h3>\n<p>\u4f60\u4e5f\u4f1a\u5173\u5fc3 MI350P \u4e0e\u5176\u4ed6 Instinct \u7cfb\u5217 GPU \u7684\u5bf9\u6bd4\u8868\u73b0\u3002MI350P \u5728 AI \u6027\u80fd\u548c\u5185\u5b58\u65b9\u9762\u8868\u73b0\u5f3a\u52b2\uff0c\u4f60\u4f1a\u770b\u5230\u66f4\u9ad8\u7684\u5cf0\u503c PFLOPs \u4e0e TFLOPs\uff0c\u8fd9\u610f\u5473\u7740\u5728 AI \u5de5\u4f5c\u8d1f\u8f7d\u4e2d\u83b7\u5f97\u66f4\u7406\u60f3\u7684\u7ed3\u679c\u3002<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 75px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u6307\u6807<\/th>\n<th colspan=\"1\" rowspan=\"1\">MI350P<\/th>\n<th colspan=\"1\" rowspan=\"1\">MI355X<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">AI \u6027\u80fd\uff08\u5cf0\u503c PFLOPs\uff09<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u6700\u9ad8\u8fbe 2.2 \u500d<\/td>\n<td colspan=\"1\" rowspan=\"1\">5.0<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">HPC \u6027\u80fd\uff08\u5cf0\u503c TFLOPs\uff09<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u6700\u9ad8\u8fbe 2.1 \u500d<\/td>\n<td colspan=\"1\" rowspan=\"1\">78.6<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5185\u5b58\u5bb9\u91cf<\/td>\n<td colspan=\"1\" rowspan=\"1\">288 GB<\/td>\n<td colspan=\"1\" rowspan=\"1\">180 GB<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5185\u5b58\u5e26\u5bbd<\/td>\n<td colspan=\"1\" rowspan=\"1\">8.0 TB\/s<\/td>\n<td colspan=\"1\" rowspan=\"1\">7.7 TB\/s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4f60\u53ef\u4ee5\u5145\u5206\u53d7\u76ca\u4e8e MI350P \u63d0\u5347\u540e\u7684\u5185\u5b58\u5bb9\u91cf\u548c\u5e26\u5bbd\uff0c\u8fd9\u8ba9\u4f60\u80fd\u591f\u8fd0\u884c\u66f4\u5927\u89c4\u6a21\u7684 AI \u6a21\u578b\u5e76\u5904\u7406\u66f4\u591a\u6570\u636e\u3002MI350P \u7684 PCIe \u8bbe\u8ba1\u652f\u6301\u5728\u4e00\u53f0\u670d\u52a1\u5668\u4e2d\u90e8\u7f72\u591a\u5f20\u5361\u7247\uff0c\u4f7f\u4f60\u5728\u65e0\u9700\u6539\u9020\u57fa\u7840\u8bbe\u65bd\u7684\u524d\u63d0\u4e0b\u8f7b\u677e\u6269\u5c55 AI \u5de5\u4f5c\u8d1f\u8f7d\u3002<\/p>\n<blockquote><p>\u63d0\u793a\uff1a\u4ece Instinct \u7cfb\u5217\u57fa\u51c6\u8868\u73b0\u53ef\u4ee5\u770b\u51fa\uff0c\u4f60\u5728 AI \u4e0e HPC \u5de5\u4f5c\u8d1f\u8f7d\u4e0a\u90fd\u80fd\u83b7\u5f97\u53ef\u9760\u6027\u80fd\u3002MI350P \u5728\u8bad\u7ec3\u3001\u63a8\u7406\u4ee5\u53ca Agentic AI \u4efb\u52a1\u4e2d\u90fd\u80fd\u4ea4\u4ed8\u59cb\u7ec8\u5982\u4e00\u7684\u8868\u73b0\u3002<\/p><\/blockquote>\n<h3>\u4f01\u4e1a\u7ea7 AI \u53ef\u6269\u5c55\u6027<\/h3>\n<p>\u4f60\u9700\u8981\u80fd\u591f\u4f34\u968f\u4e1a\u52a1\u6210\u957f\u800c\u6269\u5c55\u7684\u786c\u4ef6\u3002MI350P \u652f\u6301\u5728\u76f4\u8fde\u6db2\u51b7\u673a\u67b6\u4e2d\u90e8\u7f72\u6700\u591a 128 \u5757 GPU\uff0c\u603b\u7b97\u529b\u53ef\u8fbe\u7ea6 1.3 ExaFLOPS\uff0c\u8db3\u4ee5\u5e94\u5bf9\u6700\u82db\u523b\u7684 AI \u5de5\u4f5c\u8d1f\u8f7d\u3002MI350P \u8fd8\u9488\u5bf9\u73b0\u6709\u6570\u636e\u4e2d\u5fc3\u57fa\u7840\u8bbe\u65bd\u8fdb\u884c\u4e86\u4f18\u5316\uff0c\u8ba9\u4f60\u80fd\u591f\u9ad8\u6548\u5b8c\u6210\u90e8\u7f72\u3002<\/p>\n<ul>\n<li>MI350P \u7684\u6a21\u5757\u5316\u67b6\u6784\u5141\u8bb8\u4f60\u5728\u65e0\u9700\u6574\u4f53\u91cd\u6784\u7684\u524d\u63d0\u4e0b\uff0c\u9010\u6b65\u6269\u5c55\u8ba1\u7b97\u4e0e GPU \u5bc6\u5ea6\u3002<\/li>\n<li>\u4f60\u53ef\u4ee5\u5c06 MI350P \u4e0e Dell \u670d\u52a1\u5668\u96c6\u6210\uff0c\u4ece\u800c\u8f7b\u677e\u5728\u73b0\u6709\u73af\u5883\u4e2d\u6269\u5bb9\u3002<\/li>\n<li>MI350P \u8986\u76d6\u5b8c\u6574 AI \u751f\u547d\u5468\u671f\uff0c\u5305\u62ec\u8bad\u7ec3\u3001\u5fae\u8c03\u3001\u63a8\u7406\u4ee5\u53ca Agentic \u5de5\u4f5c\u6d41\u3002<\/li>\n<li>\u4f60\u80fd\u5728\u65e0\u9700\u91cd\u6784\u6570\u636e\u4e2d\u5fc3\u7684\u60c5\u51b5\u4e0b\uff0c\u8fd0\u884c\u5b89\u5168\u7684 AI \u5de5\u4f5c\u8d1f\u8f7d\u3002<\/li>\n<li>MI350P \u7684 PCIe \u5361\u9002\u7528\u4e8e\u6807\u51c6\u98ce\u51b7\u670d\u52a1\u5668\uff0c\u8ba9\u90e8\u7f72\u8fc7\u7a0b\u66f4\u7b80\u5355\u3002<\/li>\n<\/ul>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 50px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u7279\u6027<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u4f18\u52bf<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u6a21\u5757\u5316\u67b6\u6784<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5141\u8bb8\u7ec4\u7ec7\u5728\u65e0\u9700\u91cd\u65b0\u67b6\u6784\u7684\u60c5\u51b5\u4e0b\uff0c\u9010\u6b65\u6269\u5c55\u8ba1\u7b97\u4e0e GPU \u5bc6\u5ea6\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u4e0e Dell \u670d\u52a1\u5668\u96c6\u6210<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u4fbf\u4e8e\u5728\u73b0\u6709\u6570\u636e\u4e2d\u5fc3\u57fa\u7840\u8bbe\u65bd\u4e2d\u8f7b\u677e\u6269\u5c55 AI \u5de5\u4f5c\u8d1f\u8f7d\u3002<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u652f\u6301\u5b8c\u6574 AI \u751f\u547d\u5468\u671f<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u53ef\u5728\u5b89\u5168\u73af\u5883\u4e2d\u5b8c\u6210\u8bad\u7ec3\u3001\u5fae\u8c03\u3001\u63a8\u7406\u548c Agentic \u5de5\u4f5c\u6d41\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4f60\u53ef\u4ee5\u76f4\u89c2\u770b\u5230 MI350P \u7684\u7075\u6d3b\u6027\uff1a\u4ece\u5c11\u91cf PCIe \u5361\u8d77\u6b65\uff0c\u968f\u7740 AI \u5de5\u4f5c\u8d1f\u8f7d\u7684\u589e\u957f\u9010\u6b65\u6269\u5c55\u3002MI350P \u8ba9\u4f60\u6709\u80fd\u529b\u5e94\u5bf9\u4efb\u4f55\u89c4\u6a21\u7684\u751f\u6210\u5f0f\u4e0e Agentic AI \u9879\u76ee\uff0c\u540c\u65f6\u4fdd\u6301\u6570\u636e\u4e2d\u5fc3\u9ad8\u6548\u8fd0\u8f6c\uff0c\u4e3a\u672a\u6765\u7684 AI \u9700\u6c42\u505a\u597d\u51c6\u5907\u3002<\/p>\n<blockquote><p>\u91cd\u70b9\uff1aAMD MI350P \u662f\u4f01\u4e1a\u7ea7 AI \u53ef\u6269\u5c55\u6027\u7684\u7406\u60f3\u4e4b\u9009\u3002\u4f60\u80fd\u83b7\u5f97\u51fa\u4f17\u6027\u80fd\u3001\u8f7b\u677e\u96c6\u6210\u4f53\u9a8c\uff0c\u5e76\u5168\u9762\u652f\u6301\u5148\u8fdb\u63a8\u7406\u5de5\u4f5c\u8d1f\u8f7d\u3002<\/p><\/blockquote>\n<h2><strong>AMD Instinct MI350P \u7684\u771f\u5b9e\u4ef7\u503c<\/strong><\/h2>\n<h3>\u52a0\u901f\u6a21\u578b\u8bad\u7ec3<\/h3>\n<p>\u4f60\u5e0c\u671b\u6a21\u578b\u8bad\u7ec3\u66f4\u5feb\u3001\u66f4\u9ad8\u6548\u3002MI350P \u901a\u8fc7\u652f\u6301 INT4 \u4e0e MXFP4 \u7b49\u66f4\u4f4e\u7cbe\u5ea6\u683c\u5f0f\uff0c\u8ba9\u8fd9\u4e00\u76ee\u6807\u6210\u4e3a\u73b0\u5b9e\u3002\u8fd9\u4e9b\u683c\u5f0f\u5728\u63d0\u5347\u5904\u7406\u901f\u5ea6\u7684\u540c\u65f6\u964d\u4f4e\u5185\u5b58\u5360\u7528\u3002\u4f60\u53ef\u4ee5\u5728\u5355\u4e2a\u673a\u7bb1\u4e2d\u627f\u8f7d\u4e07\u4ebf\u53c2\u6570\u7ea7\u6a21\u578b\uff0c\u65e0\u9700\u590d\u6742\u7684\u591a\u8282\u70b9\u96c6\u7fa4\u3002MI350P \u8fd8\u5e2e\u52a9\u4f60\u5728\u8bad\u7ec3\u5927\u6a21\u578b\u65f6\u51cf\u5c11\u6570\u636e\u642c\u79fb\uff0c\u4ece\u800c\u8282\u7701\u65f6\u95f4\u4e0e\u80fd\u8017\u3002<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 75px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u7279\u6027<\/th>\n<th colspan=\"1\" rowspan=\"1\">MI350P<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u7ade\u54c1\u786c\u4ef6\uff08OAM MI350X\uff09<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5185\u5b58\u5e26\u5bbd<\/td>\n<td colspan=\"1\" rowspan=\"1\">32 TB\/s<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u901a\u8fc7 Infinity Fabric \u66f4\u9ad8<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u7cbe\u5ea6\u683c\u5f0f<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u652f\u6301 INT4\u3001MXFP4<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u672a\u7279\u522b\u8bf4\u660e<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">GPU \u95f4\u901a\u4fe1<\/td>\n<td colspan=\"1\" rowspan=\"1\">PCIe Gen5 x16<\/td>\n<td colspan=\"1\" rowspan=\"1\">Infinity Fabric<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u662f\u5426\u9002\u5408\u5927\u6a21\u578b<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u662f\uff0c\u53ef\u627f\u8f7d\u4e07\u4ebf\u53c2\u6570\u7ea7\u6a21\u578b<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u9700\u8981\u591a\u8282\u70b9\u96c6\u7fa4<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u901f\u5ea6\u5bf9\u6bd4<\/td>\n<td colspan=\"1\" rowspan=\"1\">MXFP4 &gt; 2 \u500d FP8\uff0c4 \u500d BF16<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u672a\u7279\u522b\u8bf4\u660e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u5728\u5b9e\u9645 AI \u5de5\u4f5c\u8d1f\u8f7d\u4e2d\uff0c\u4f60\u80fd\u660e\u663e\u611f\u53d7\u5230\u8fd9\u79cd\u4f18\u52bf\uff1aMI350P \u5e2e\u52a9\u4f60\u66f4\u5feb\u5b8c\u6210\u8bad\u7ec3\u4efb\u52a1\uff0c\u628a\u65f6\u95f4\u66f4\u591a\u5730\u7528\u5728\u90e8\u7f72\u548c\u4f18\u5316\u65b0\u65b9\u6848\u4e0a\u3002<\/p>\n<h3>\u90e8\u7f72\u6548\u7387<\/h3>\n<p>\u4f60\u9700\u8981\u80fd\u65e0\u7f1d\u9002\u914d\u73b0\u6709\u6570\u636e\u4e2d\u5fc3\u7684\u786c\u4ef6\u3002AMD Instinct MI350P \u53ef\u4f5c\u4e3a\u6807\u51c6\u98ce\u51b7\u670d\u52a1\u5668\u7684\u201c\u5373\u63d2\u5373\u7528\u201d\u65b9\u6848\uff0c\u4f60\u65e0\u9700\u5347\u7ea7\u7535\u529b\u3001\u6563\u70ed\u6216\u673a\u67b6\u7cfb\u7edf\u3002MI350P \u80fd\u4e0e\u73b0\u6709 AI \u6d41\u6c34\u7ebf\u987a\u7545\u96c6\u6210\uff0c\u8ba9\u4f60\u5728\u4e0d\u91cd\u5199\u4ee3\u7801\u7684\u524d\u63d0\u4e0b\u8fc1\u79fb\u5de5\u4f5c\u8d1f\u8f7d\u3002ROCm \u8f6f\u4ef6\u6808\u5219\u5e2e\u52a9\u4f60\u4ee5\u66f4\u5feb\u901f\u5ea6\u670d\u52a1\u66f4\u5927\u6a21\u578b\uff0c\u5e76\u5728\u4f01\u4e1a\u73af\u5883\u4e2d\u5b9e\u73b0\u53ef\u9884\u6d4b\u7684\u7ebf\u6027\u6269\u5c55\u3002<\/p>\n<ul>\n<li>\u4f18\u5316\u5185\u6838\u8fdb\u4e00\u6b65\u589e\u5f3a\u6027\u80fd\u3002<\/li>\n<li>\u667a\u80fd\u7f16\u6392\u63d0\u9ad8\u8d44\u6e90\u7ba1\u7406\u6548\u7387\u3002<\/li>\n<li>\u4e0e\u4e3b\u6d41\u6846\u67b6\u6df1\u5ea6\u96c6\u6210\uff0c\u8ba9\u65e5\u5e38\u8fd0\u7ef4\u66f4\u52a0\u987a\u7545\u3002<\/li>\n<li>\u5f02\u6784\u6269\u5c55\u652f\u6301\u8d1f\u8f7d\u5747\u8861\u3002<\/li>\n<li>\u7075\u6d3b\u7684\u57fa\u7840\u8bbe\u65bd\u8bbe\u8ba1\u8ba9\u4f60\u4e3a\u672a\u6765\u7684 AI \u9700\u6c42\u505a\u597d\u51c6\u5907\u3002<\/li>\n<\/ul>\n<p>\u4f60\u53ef\u4ee5\u5728\u672c\u5730\u3001\u4e91\u7aef\u6216\u6df7\u5408\u73af\u5883\u4e2d\u90e8\u7f72 MI350P\uff0c\u8fd9\u79cd\u7075\u6d3b\u6027\u8ba9\u4f60\u80fd\u591f\u66f4\u597d\u5e94\u5bf9\u4e0d\u65ad\u53d8\u5316\u7684\u4e1a\u52a1\u9700\u6c42\u3002<\/p>\n<h3>\u6210\u672c\u4e0e\u6295\u8d44\u56de\u62a5\u4f18\u52bf<\/h3>\n<p>\u4f60\u5f53\u7136\u5e0c\u671b\u83b7\u5f97\u66f4\u4f18\u7684\u6295\u5165\u56de\u62a5\u3002AMD MI350P \u4ee5\u6781\u5177\u7ade\u4e89\u529b\u7684\u4ef7\u683c\u63d0\u4f9b\u5353\u8d8a\u6027\u80fd\u3002\u5176 144GB HBM3E \u5185\u5b58\u6bd4\u90e8\u5206\u7ade\u54c1\u9ad8\u51fa 50%\uff0c\u8fd9\u610f\u5473\u7740\u4f60\u53ef\u4ee5\u5728\u4e0d\u53d7\u5185\u5b58\u74f6\u9888\u5236\u7ea6\u7684\u60c5\u51b5\u4e0b\uff0c\u5904\u7406\u66f4\u5927\u89c4\u6a21\u7684 AI \u6a21\u578b\u4e0e\u6570\u636e\u96c6\u3002MI350P \u80fd\u5728\u73b0\u6709\u6570\u636e\u4e2d\u5fc3\u57fa\u7840\u8bbe\u65bd\u4e0a\u76f4\u63a5\u8fd0\u884c\uff0c\u4ece\u800c\u907f\u514d\u6602\u8d35\u7684\u786c\u4ef6\u5347\u7ea7\u6210\u672c\u3002<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 50px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u7279\u6027<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u4f18\u52bf<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">HBM3E \u5185\u5b58<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u63d0\u5347\u8bad\u7ec3\u4e0e\u63a8\u7406\u7684\u6709\u6548\u541e\u5410\u91cf<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">CDNA 4 \u8ba1\u7b97\u6a21\u5757<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\u4ee5\u63d0\u5347\u6574\u4f53\u6027\u80fd<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u9762\u5411\u5927\u6a21\u578b\u4f18\u5316<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u9002\u7528\u4e8e\u4f01\u4e1a\u7ea7\u6570\u636e\u5904\u7406\u4efb\u52a1<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5177\u6709\u7ade\u4e89\u529b\u7684\u5b9a\u4ef7<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u4e3a\u5ba2\u6237\u63d0\u4f9b\u66f4\u4f18\u7684\u6027\u80fd\/\u529f\u8017\u4e0e\u4ef7\u683c\u6bd4<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u5f00\u6e90\u7684\u4f01\u4e1a\u7ea7 AI \u8f6f\u4ef6\u6808\u5219\u8fdb\u4e00\u6b65\u964d\u4f4e\u8fd0\u884c\u6210\u672c\uff0c\u56e0\u4e3a\u65e0\u9700\u989d\u5916\u652f\u4ed8\u8bb8\u53ef\u8d39\u7528\u3002\u4f60\u53ef\u5728\u4fdd\u6301\u9ad8\u6027\u80fd\u548c\u4f4e\u80fd\u8017\u7684\u524d\u63d0\u4e0b\uff0c\u83b7\u5f97\u53ef\u89c2\u7684\u6295\u8d44\u56de\u62a5\u3002\u7efc\u5408\u6765\u770b\uff0cMI350P \u662f\u5404\u7c7b\u89c4\u6a21\u4f01\u4e1a\u7684\u660e\u667a\u4e4b\u9009\u3002<\/p>\n<h2><strong>\u4e3a\u4ec0\u4e48 AMD MI350P \u9886\u8dd1 AI \u786c\u4ef6<\/strong><\/h2>\n<h3>\u884c\u4e1a\u91c7\u7eb3\u60c5\u51b5<\/h3>\n<p>\u5728\u771f\u5b9e\u7684\u4f01\u4e1a\u73af\u5883\u4e2d\uff0c\u4f60\u4f1a\u770b\u5230 AMD MI350P \u6b63\u5728\u6811\u7acb AI \u786c\u4ef6\u7684\u65b0\u6807\u6746\u3002\u8bb8\u591a\u7ec4\u7ec7\u4e4b\u6240\u4ee5\u9009\u62e9 MI350P\uff0c\u662f\u56e0\u4e3a\u5b83\u540c\u65f6\u517c\u5177\u9ad8\u6027\u80fd\u4e0e\u6210\u672c\u6548\u7387\u3002\u4f60\u53ef\u4ee5\u5c06 AMD Instinct MI350P PCIe \u5361\u76f4\u63a5\u5b89\u88c5\u5230\u73b0\u6709\u57fa\u7840\u8bbe\u65bd\u4e2d\uff0c\u65e0\u9700\u91cd\u65b0\u8bbe\u8ba1\u6570\u636e\u4e2d\u5fc3\u3002\u8fd9\u79cd\u201c\u5373\u63d2\u5373\u7528\u201d\u7684\u65b9\u5f0f\u9002\u914d\u5404\u79cd\u89c4\u6a21\u7684\u4f01\u4e1a\uff0c\u5e2e\u52a9\u4f60\u8f7b\u677e\u6269\u5c55 AI \u80fd\u529b\u3002<\/p>\n<p>MI350P \u5728\u5e94\u5bf9\u9ad8\u5f3a\u5ea6 AI \u5de5\u4f5c\u8d1f\u8f7d\u65f6\u7279\u522b\u51fa\u8272\uff0c\u540c\u65f6\u517c\u987e\u8fd0\u8425\u6210\u672c\uff0c\u4f60\u80fd\u4ece\u4e2d\u53d7\u76ca\u532a\u6d45\u3002\u66f4\u4f4e\u7cbe\u5ea6\u7684\u8ba1\u7b97\u683c\u5f0f\u65e2\u63d0\u5347\u541e\u5410\u91cf\uff0c\u53c8\u53ef\u663e\u8457\u964d\u4f4e\u5f00\u9500\u3002\u5305\u62ec AMD Instinct MI350P \u5728\u5185\u7684 Instinct \u7cfb\u5217\uff0c\u4e3a\u4f60\u63d0\u4f9b\u4e86\u5728\u4e0d\u5927\u52a8\u5e72\u6208\u6539\u9020\u57fa\u7840\u8bbe\u65bd\u7684\u524d\u63d0\u4e0b\u5347\u7ea7 AI \u9879\u76ee\u7684\u7075\u6d3b\u6027\u3002<\/p>\n<p>\u4e0b\u9762\u662f\u4f01\u4e1a\u4fe1\u8d56 MI350P \u7684\u539f\u56e0\u6982\u89c8\uff1a<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 50px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u7279\u6027<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u89c4\u683c<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u6027\u80fd<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u9884\u4f30 2,299 TeraFLOPS\uff08TFLOPs\uff09<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5cf0\u503c\u6027\u80fd<\/td>\n<td colspan=\"1\" rowspan=\"1\">MXFP4 \u6a21\u5f0f\u4e0b\u5cf0\u503c\u9ad8\u8fbe 4,600 TFLOPs<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5185\u5b58<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u9884\u4f30 144 GB HBM3E<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u5185\u5b58\u5e26\u5bbd<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u6700\u9ad8\u53ef\u8fbe 4 TB\/s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<ul>\n<li>\u4e13\u4e3a\u6807\u51c6\u98ce\u51b7\u670d\u52a1\u5668\u4e2d\u7684\u53cc\u63d2\u69fd\u201c\u4e0b\u62c9\u5373\u7528\u201d\u5b89\u88c5\u65b9\u5f0f\u8bbe\u8ba1<\/li>\n<li>\u5e2e\u52a9\u4f01\u4e1a\u5728\u4e0d\u8fdb\u884c\u5927\u89c4\u6a21\u57fa\u7840\u8bbe\u65bd\u6539\u9020\u7684\u524d\u63d0\u4e0b\u63d0\u5347 AI \u80fd\u529b<\/li>\n<li>\u5177\u5907\u9ad8\u6027\u4ef7\u6bd4\u7684 PCIe \u5361\u5f62\u6001\uff0c\u9002\u5408\u4e0d\u540c\u89c4\u6a21\u7684\u4f01\u4e1a\u5e94\u7528<\/li>\n<\/ul>\n<blockquote><p>\u63d0\u793a\uff1a\u4f60\u53ef\u4ee5\u501f\u52a9 MI350P \u6269\u5c55 AI \u57fa\u7840\u8bbe\u65bd\uff0c\u540c\u65f6\u4fdd\u6301\u6570\u636e\u4e2d\u5fc3\u7684\u9ad8\u6548\u4e0e\u7a33\u5b9a\u3002<\/p><\/blockquote>\n<h3>\u9762\u5411\u672a\u6765\u7684\u57fa\u7840\u8bbe\u65bd<\/h3>\n<p>\u4f60\u5e0c\u671b\u57fa\u7840\u8bbe\u65bd\u65e2\u80fd\u6ee1\u8db3\u5f53\u524d\u9700\u6c42\uff0c\u53c8\u80fd\u652f\u6491\u672a\u6765\u7684 AI \u53d1\u5c55\u3002AMD Instinct MI350P \u8d4b\u4e88\u4f60\u8fd9\u79cd\u4fe1\u5fc3\u3002\u4f60\u53ef\u4ee5\u5c06 MI350P \u90e8\u7f72\u5728\u6807\u51c6\u98ce\u51b7\u670d\u52a1\u5668\u4e2d\uff0c\u4fdd\u6301\u57fa\u7840\u8bbe\u65bd\u7684\u7075\u6d3b\u6027\uff0c\u4ee5\u4ece\u5bb9\u5e94\u5bf9\u65b0\u7684\u6311\u6218\u3002MI350P \u80fd\u591f\u5728\u65e0\u9700\u5927\u9762\u79ef\u5347\u7ea7\u7684\u524d\u63d0\u4e0b\u878d\u5165\u73b0\u6709\u67b6\u6784\uff0c\u4ece\u800c\u6709\u6548\u4fdd\u62a4\u73b0\u6709\u6295\u8d44\u3002<\/p>\n<p>MI350P \u7684\u67b6\u6784\u4e5f\u4e3a\u4e0b\u4e00\u4ee3 AI \u6a21\u578b\u505a\u597d\u4e86\u5145\u5206\u51c6\u5907\uff1a144GB HBM3E \u5185\u5b58\u3001128 \u4e2a\u8ba1\u7b97\u5355\u5143\u4ee5\u53ca\u6700\u9ad8 4TB\/s \u7684\u5185\u5b58\u5e26\u5bbd\u6784\u6210\u5176\u6027\u80fd\u6838\u5fc3\u3002Instinct \u8bbe\u8ba1\u5141\u8bb8\u5355\u53f0\u7cfb\u7edf\u4e2d\u5b89\u88c5\u591a\u5f20 PCIe \u5361\uff0c\u4ece\u800c\u589e\u5f3a\u53ef\u6269\u5c55\u6027\u3002MI350P \u80fd\u5728\u65e2\u6709\u4f9b\u7535\u3001\u6563\u70ed\u4e0e\u673a\u67b6\u73af\u5883\u4e2d\u7a33\u5b9a\u8fd0\u884c\uff0c\u4e3a\u957f\u671f\u53ef\u9760\u6027\u63d0\u4f9b\u4fdd\u969c\u3002<\/p>\n<div class=\"qc-default-table-wrapper \">\n<table style=\"min-width: 50px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\u7279\u6027<\/th>\n<th colspan=\"1\" rowspan=\"1\">\u63cf\u8ff0<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u517c\u5bb9\u6027<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u53ef\u5728\u65e0\u9700\u5927\u89c4\u6a21\u91cd\u6784\u7684\u60c5\u51b5\u4e0b\u9002\u914d\u73b0\u6709\u57fa\u7840\u8bbe\u65bd<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u90e8\u7f72\u65b9\u5f0f<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u9002\u7528\u4e8e\u6807\u51c6\u98ce\u51b7\u670d\u52a1\u5668\u7684\u53cc\u63d2\u69fd\u4e0b\u62c9\u5f0f\u5361<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\u57fa\u7840\u8bbe\u65bd\u652f\u6301<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u5728\u65e2\u6709\u4f9b\u7535\u3001\u6563\u70ed\u548c\u673a\u67b6\u6761\u4ef6\u4e0b\u7a33\u5b9a\u8fd0\u884c<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">AI \u6027\u80fd<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u4e3a\u4e0d\u65ad\u6f14\u8fdb\u7684\u5de5\u4f5c\u8d1f\u8f7d\u63d0\u4f9b\u9886\u5148 AI \u6027\u80fd<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>\u4f60\u8fd8\u53ef\u4ee5\u4f9d\u6258 ROCm \u5f00\u6e90\u8f6f\u4ef6\u6808\u7684\u652f\u6301\uff0c\u4e0e\u4e3b\u6d41 AI \u6846\u67b6\u4fdd\u6301\u51fa\u8272\u517c\u5bb9\u6027\u3002\u4ee5 AMD MI350P \u4e3a\u4ee3\u8868\u7684 Instinct \u7cfb\u5217\uff0c\u4e3a\u4f60\u63d0\u4f9b\u7d27\u968f AI \u6280\u672f\u53d1\u5c55\u8282\u594f\u6240\u9700\u7684\u6240\u6709\u5de5\u5177\u3002\u4f60\u7684\u57fa\u7840\u8bbe\u65bd\u80fd\u591f\u4f34\u968f\u4e1a\u52a1\u4e0e\u6280\u672f\u5171\u540c\u6210\u957f\uff0c\u59cb\u7ec8\u8d70\u5728\u524d\u6cbf\u3002<\/p>\n<div class=\"qc-divider-wrapper\">\n<div class=\"qc-divider\" style=\"border-top-style: solid; width: 100%; border-top-color: #d1d1d1;\"><\/div>\n<\/div>\n<p>\u73b0\u5728\u4f60\u53ef\u4ee5\u66f4\u76f4\u89c2\u5730\u7406\u89e3\uff0c\u4e3a\u4ec0\u4e48 AMD MI350P \u4f1a\u5728 AI \u786c\u4ef6\u9886\u57df\u8131\u9896\u800c\u51fa\u3002\u4f60\u53ef\u4ee5\u5728\u672c\u5730\u8fd0\u884c 7,000 \u4ebf\u53c2\u6570\u7ea7 AI \u6a21\u578b\uff0c\u4f7f\u7528 384 GB \u5185\u5b58\u4ec5\u9700 240W \u529f\u8017\uff0c\u8fdc\u4f4e\u4e8e\u8bb8\u591a\u7ade\u54c1\u7684\u4e00\u534a\u3002<\/p>\n<ul>\n<li>AMD MI350P \u5728\u9ad8\u6548\u80fd\u8017\u7684\u524d\u63d0\u4e0b\uff0c\u652f\u6301\u5927\u89c4\u6a21 AI \u5de5\u4f5c\u8d1f\u8f7d\u3002<\/li>\n<li>AMD \u80fd\u591f\u987a\u7545\u878d\u5165\u4f60\u5f53\u524d\u7684\u7cfb\u7edf\u73af\u5883\u3002<\/li>\n<li>AMD \u4e3a\u4efb\u4f55\u89c4\u6a21\u7684\u4f01\u4e1a\u63d0\u4f9b\u9762\u5411\u672a\u6765\u7684 AI \u6027\u80fd\u3002<br \/>\n\u9009\u62e9 AMD\uff0c\u5373\u662f\u9009\u62e9\u53ef\u9760\u3001\u53ef\u6269\u5c55\u3001\u5e76\u59cb\u7ec8\u8d70\u5728\u524d\u6cbf\u7684 AI \u89e3\u51b3\u65b9\u6848\u3002<\/li>\n<\/ul>\n<h2><strong>\u5e38\u89c1\u95ee\u9898\uff08FAQ\uff09<\/strong><\/h2>\n<h3>\u662f\u4ec0\u4e48\u8ba9 AMD MI350P \u6709\u522b\u4e8e\u5176\u4ed6 AI \u786c\u4ef6\uff1f<\/h3>\n<p>\u4f60\u53ef\u4ee5\u83b7\u5f97\u66f4\u5f3a\u7684\u8ba1\u7b97\u80fd\u529b\u3001\u66f4\u9ad8\u7684\u5185\u5b58\u5bb9\u91cf\u4ee5\u53ca\u66f4\u4fbf\u6377\u7684\u96c6\u6210\u4f53\u9a8c\u3002MI350P \u80fd\u8f7b\u677e\u9002\u914d\u6807\u51c6\u670d\u52a1\u5668\uff0c\u4f60\u53ef\u4ee5\u5728\u4e0d\u66f4\u6539\u6570\u636e\u4e2d\u5fc3\u7684\u524d\u63d0\u4e0b\u5b8c\u6210\u6269\u5bb9\u3002HBM3E \u5185\u5b58\u4e0e PCIe \u8bbe\u8ba1\u5171\u540c\u4e3a AI \u5de5\u4f5c\u8d1f\u8f7d\u5e26\u6765\u66f4\u5feb\u7684\u7ed3\u679c\u3002<\/p>\n<h3>\u6211\u80fd\u5728\u73b0\u6709\u670d\u52a1\u5668\u73af\u5883\u4e2d\u4f7f\u7528 MI350P \u5417\uff1f<\/h3>\n<p>\u53ef\u4ee5\u3002MI350P \u91c7\u7528\u53cc\u63d2\u69fd\u3001\u98ce\u51b7 PCIe \u5361\u5f62\u6001\uff0c\u53ef\u5b89\u88c5\u4e8e\u5927\u591a\u6570\u6807\u51c6\u670d\u52a1\u5668\u3002\u4f60\u65e0\u9700\u5347\u7ea7\u65e2\u6709\u4f9b\u7535\u6216\u6563\u70ed\u7cfb\u7edf\u3002<\/p>\n<h3>MI350P \u5982\u4f55\u5e2e\u52a9\u5904\u7406\u5927\u578b AI \u6a21\u578b\uff1f<\/h3>\n<p>\u5f97\u76ca\u4e8e 144GB HBM3E \u5185\u5b58\u4e0e\u9ad8\u5e26\u5bbd\uff0cMI350P \u80fd\u591f\u652f\u6301\u5927\u578b\u6a21\u578b\u8bad\u7ec3\u4e0e\u63a8\u7406\u3002\u4f60\u53ef\u4ee5\u66f4\u987a\u7545\u5730\u5904\u7406\u5e9e\u5927\u6570\u636e\u96c6\u548c\u590d\u6742 AI \u4efb\u52a1\uff0c\u800c\u4e0d\u4f1a\u51fa\u73b0\u660e\u663e\u7684\u6027\u80fd\u62d6\u7d2f\u3002<\/p>\n<h3>MI350P \u662f\u5426\u9002\u5408\u4f01\u4e1a\u7ea7 AI \u9879\u76ee\u7684\u6210\u672c\u6295\u5165\uff1f<\/h3>\n<p>\u662f\u7684\u3002MI350P \u4ee5\u5177\u6709\u7ade\u4e89\u529b\u7684\u4ef7\u683c\u63d0\u4f9b\u9ad8\u6027\u80fd\uff0c\u4f60\u65e0\u9700\u4e3a\u65b0\u57fa\u7840\u8bbe\u65bd\u652f\u4ed8\u989d\u5916\u8d39\u7528\u3002\u5f00\u6e90\u8f6f\u4ef6\u6808\u4e5f\u8fdb\u4e00\u6b65\u964d\u4f4e\u4e86\u8f6f\u4ef6\u8bb8\u53ef\u6210\u672c\uff0c\u4e3a\u4f01\u4e1a\u5e26\u6765\u66f4\u9ad8\u6027\u4ef7\u6bd4\u3002<\/p>\n<h3>MI350P \u63d0\u4f9b\u54ea\u4e9b\u8f6f\u4ef6\u652f\u6301\uff1f<\/h3>\n<p>\u901a\u8fc7 ROCm \u8f6f\u4ef6\u6808\uff0c\u4f60\u53ef\u4ee5\u83b7\u5f97\u5bf9\u4e3b\u6d41 AI \u6846\u67b6\u7684\u5168\u9762\u652f\u6301\uff0c\u4ece\u800c\u8f7b\u677e\u8fd0\u884c\u5e38\u7528\u5de5\u5177\u548c\u5e93\u3002\u8fc1\u79fb\u73b0\u6709\u5de5\u4f5c\u8d1f\u8f7d\u65f6\uff0c\u4f60\u51e0\u4e4e\u65e0\u9700\u91cd\u5199\u4ee3\u7801\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4f60\u9700\u8981\u80fd\u5e26\u6765\u5373\u65f6\u6210\u679c\u7684AI \u786c\u4ef6\uff0c\u800c AMD MI350P \u6b63\u662f\u8fd9\u6837\u7684\u9009\u62e9\u3002MI350P \u652f\u6301\u5728\u5355\u53f0\u7cfb\u7edf\u4e2d\u6dfb\u52a0\u591a\u8fbe\u516b\u5f20\u5361\uff0c\u8ba9\u4f60\u5728\u65e0\u9700\u66f4\u6539\u6570\u636e\u4e2d\u5fc3\u3001\u4e5f\u4e0d\u4f1a\u5e72\u6270\u73b0\u6709\u65e5\u672c\u670d\u52a1\u5668\u79df\u7528\u57fa\u7840\u8bbe\u65bd\u7684\u60c5\u51b5\u4e0b\u63d0\u5347\u901f\u5ea6\u3002\u8fd9\u79cd\u4fbf\u6377\u96c6\u6210\u80fd\u529b\u4f7f AMD \u5728\u4f17\u591a\u65b9\u6848\u4e2d\u8131\u9896\u800c\u51fa\u3002\u5f53\u4f60\u8bad\u7ec3\u751f\u6210\u5f0f\u6216 Agentic AI \u65f6\uff0cMI350P \u4f1a\u7528\u771f\u5b9e\u53ef\u91cf\u5316\u7684\u6570\u5b57\u8bc1\u660e\u5b9e\u529b\u2014\u2014\u5c24\u5176\u662f\u5728\u5bf9\u6027\u80fd\u8981\u6c42\u6781\u9ad8\u7684\u65e5\u672c\u670d\u52a1\u5668\u79df\u7528\u90e8\u7f72\u573a\u666f\u4e2d\u3002 \u6a21\u578b MI355X \u8bad\u7ec3\u65f6\u95f4 NVIDIA B200 \u5e73\u5747\u65f6\u95f4 NVIDIA B300 \u5e73\u5747\u65f6\u95f4 Llama 2-70B LoRA (FP8) 10.18 \u5206\u949f 9.85 \u5206\u949f 9.59 \u5206\u949f Llama 3.1-8B (FP8) 99.7 \u5206\u949f 93.69 \u5206\u949f 95.10 \u5206\u949f \u4f60\u5c06\u83b7\u5f97\u9876\u7ea7\u6027\u80fd\u3001\u65e0\u7f1d\u90e8\u7f72\u4f53\u9a8c\uff0c\u4ee5\u53ca\u5bf9 AMD \u786c\u4ef6\u7684\u4fe1\u5fc3\u2014\u2014\u5b83\u5df2\u4e3a\u4f60\u7684\u4e0b\u4e00\u4e2a\u5927\u578b AI \u9879\u76ee\u505a\u597d\u51c6\u5907\u3002 \u5173\u952e\u8981\u70b9 AMD MI350P \u5177\u5907 128 \u4e2a\u8ba1\u7b97\u5355\u5143\u548c 144GB HBM3E \u5185\u5b58\uff0cAI \u6027\u80fd\u5353\u8d8a\uff0c\u975e\u5e38\u9002\u5408\u5927\u578b [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/www.simcentric.com\/sc\/japan-dedicated-server-sc\/why-amd-mi350p-always-stands-out-in-ai-hardware\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":2,"featured_media":31970,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[8117],"tags":[11279,11280,11281,11282,1734],"class_list":["post-31975","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-japan-dedicated-server-sc","tag-amd-mi350p","tag-ai-hardware","tag-pcie-accelerator","tag-enterprise-ai","tag-high-performance-computing-sc"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u4e3a\u4ec0\u4e48 AMD MI350P \u5728 AI \u786c\u4ef6\u4e2d\u59cb\u7ec8\u8131\u9896\u800c\u51fa<\/title>\n<meta name=\"description\" content=\"AMD MI350P PCIe \u5361\u63d0\u4f9b\u9876\u7ea7 AI 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