{"id":2353,"date":"2026-03-02T14:07:21","date_gmt":"2026-03-02T06:07:21","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2353"},"modified":"2026-03-02T14:07:21","modified_gmt":"2026-03-02T06:07:21","slug":"meta6-gw-amd%e5%8f%b2%e8%af%97%e8%ae%a2%e5%8d%95%e8%83%8c%e5%90%8e%ef%bc%8c%e4%b8%ad%e5%b0%8f%e5%9b%a2%e9%98%9f%e5%a6%82%e4%bd%95%e5%88%86%e4%b8%80%e6%9d%af%e7%be%b9%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2353","title":{"rendered":"Meta\u201c6 GW AMD\u201d\u53f2\u8bd7\u8ba2\u5355\u80cc\u540e\uff0c\u4e2d\u5c0f\u56e2\u961f\u5982\u4f55\u5206\u4e00\u676f\u7fb9\uff1f\u661f\u5b87\u667a\u7b97GPU\u79df\u8d41\u65b9\u6848\u5168\u89e3\u6790"},"content":{"rendered":"
\"Meta\u201c6<\/figure>\n
\n

\u201c6 GW \u7684 AMD \u7b97\u529b\uff0c\u76f8\u5f53\u4e8e 60 \u4e07\u53f0 100 W \u9ad8\u6027\u80fd GPU \u663c\u591c\u4e0d\u505c\u3002\u201d
\n\u2014\u2014 \u8fd9\u662f Meta \u4e0a\u5468\u5728 Q2 \u8d22\u62a5\u4f1a\u4e0a\u6254\u4e0b\u7684\u9707\u64bc\u5f39\u3002\u5f53\u4e1a\u754c\u8fd8\u5728\u731c\u6d4b\u201c\u53bb NVIDIA\u201d\u662f\u5426\u53ea\u662f\u53e3\u53f7\u65f6\uff0cMeta \u5df2\u628a 2025 \u5e74\u4e4b\u524d\u7684 CAPEX \u4e09\u5206\u4e4b\u4e00\u62bc\u6ce8\u5728 AMD \u6700\u65b0 MI450 \u7cfb\u5217\u3002\u8d44\u672c\u5e02\u573a\u77ac\u95f4\u89e3\u8bfb\uff1aGPU \u4f9b\u5e94\u683c\u5c40\u6b63\u5f0f\u677e\u52a8\u3002<\/p>\n<\/blockquote>\n

1. \u70ed\u70b9\uff1aMeta \u4e0e AMD 6 GW \u5408\u4f5c\uff0c\u91ca\u653e\u201c\u53bb NVIDIA\u201d\u4fe1\u53f7<\/h2>\n

Meta \u7684\u516c\u5f00\u62db\u6807\u6587\u4ef6\u663e\u793a\uff0c6 GW \u6570\u636e\u4e2d\u5fc3\u529f\u7387\u5c06\u4f18\u5148\u90e8\u7f72 AMD CDNA3+ \u67b6\u6784 GPU\uff0c\u7528\u4e8e Llama 4 \u5927\u6a21\u578b\u8bad\u7ec3\u4e0e\u63a8\u7406\u3002\u6d88\u606f\u4e00\u51fa\uff0cNVIDIA \u80a1\u4ef7\u5f53\u65e5\u56de\u8c03 7%\uff0c\u800c AMD \u4f9b\u5e94\u94fe\u5219\u5168\u7ebf\u98d8\u7ea2\u3002\u66f4\u5173\u952e\u7684\u662f\uff0cMeta \u8981\u6c42\u4f9b\u5e94\u5546\u201c\u5fc5\u987b\u652f\u6301\u5f00\u653e ROCm \u6808\u201d\uff0c\u8fd9\u5728\u5386\u53f2\u4e0a\u5c1a\u5c5e\u9996\u6b21\u2014\u2014\u5de8\u5934\u7528\u8ba2\u5355\u6295\u7968\uff0c\u5f00\u653e\u751f\u6001\u4e0d\u518d\u662f\u53ef\u9009\u9879\uff0c\u800c\u662f\u751f\u6b7b\u7ebf\u3002<\/p>\n

2. \u884c\u4e1a\u51b2\u51fb\uff1aMI450 \u4ef7\u683c\u4e0b\u63a2\uff0cGPU \u4f9b\u5e94\u683c\u5c40\u677e\u52a8<\/h2>\n

\u636e\u53f0\u7cfb OEM \u900f\u9732\uff0cAMD \u4e3a\u62ff\u4e0b Meta \u5927\u5355\uff0c\u5c06 MI450 12 \u4e2a\u6708\u9501\u4ef7\u4e0b\u8c03 18%\uff0c\u5e76\u627f\u8bfa 2025 Q2 \u524d\u6301\u7eed\u4f9b\u8d27\u3002\u8fde\u9501\u53cd\u5e94\u7acb\u7aff\u89c1\u5f71\uff1a\u56fd\u5185\u670d\u52a1\u5668\u5382\u5546\u5bf9\u4e0b\u4e00\u4e16\u4ee3 MI350\u3001MI300X \u7684\u62ff\u8d27\u4ef7\u540c\u6b65\u8d70\u4f4e\uff0cGPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u5e02\u573a\u51fa\u73b0 2023 \u5e74\u4ee5\u6765\u6700\u5927\u964d\u5e45\u3002\u4e00\u5bb6\u6df1\u5733\u81ea\u52a8\u9a7e\u9a76\u516c\u53f8 CEO \u5728\u670b\u53cb\u5708\u611f\u6168\uff1a\u201cH100 80 GB \u73b0\u8d27\u62a5\u4ef7 5.2 \u7f8e\u5143\/\u5c0f\u65f6\uff0c\u800c MI300X 96 GB \u53ea\u8981 2.2 \u5143\/\u5c0f\u65f6\uff0c\u663e\u5b58\u66f4\u5927\u3001\u4ef7\u683c\u8170\u65a9\uff0c\u8fd8\u4e0d\u7528\u62a2\u3002\u201d<\/p>\n

3. \u4e2d\u5c0f\u56e2\u961f\u75db\u70b9\uff1a\u4e70\u4e0d\u5230\u5361\u3001\u79df\u4e0d\u5230\u4f4e\u4ef7\u3001\u8fc1\u79fb\u6210\u672c\u9ad8<\/h2>\n

\u5de8\u5934\u626b\u8d27\u3001\u6e20\u9053\u56e4\u8d27\uff0c\u5bfc\u81f4 90% \u4ee5\u4e0a\u7684\u9ad8\u6027\u80fd\u5361\u88ab\u9501\u6b7b\u5728 12 \u4e2a\u6708\u4ee5\u4e0a\u7684\u957f\u7ea6\u91cc\uff1b\u5269\u4f59 10% \u7684\u201c\u6563\u5361\u201d\u5219\u6210\u4e3a\u9ec4\u725b\u6807\u7684\uff0cGPU\u4e91\u4e3b\u673a<\/strong>\u6ea2\u4ef7 2\u20133 \u500d\u5df2\u6210\u5e38\u6001\u3002\u66f4\u7cdf\u7684\u662f\uff0cCUDA \u4ee3\u7801\u8fc1\u79fb\u5230 ROCm \u5e38\u88ab\u8d34\u4e0a\u201c\u6027\u80fd\u8170\u65a9\u201d\u201c\u9a71\u52a8\u7f3a\u5931\u201d\u7684\u6807\u7b7e\uff0c\u8ba9\u7b97\u6cd5\u56e2\u961f\u671b\u800c\u5374\u6b65\u3002\u4e8e\u662f\u51fa\u73b0\u8352\u8bde\u573a\u666f\uff1a\u6a21\u578b\u5df2\u7ecf\u6536\u655b\uff0c\u5374\u56e0\u4e3a\u7b49\u4e0d\u5230\u5361\uff0c\u4e0a\u7ebf\u65f6\u95f4\u4e00\u62d6\u518d\u62d6\u3002<\/p>\n

4. \u661f\u5b87\u667a\u7b97\u7b56\u7565\uff1a\u5df2\u6279\u91cf\u4e0a\u67b6 MI300X\/MI250\uff0c\u652f\u6301 ROCm \u4e00\u952e\u955c\u50cf<\/h2>\n

\u5f53\u5e02\u573a\u8fd8\u5728\u201c\u62a2 H100\u201d\u65f6\uff0c\u661f\u5b87\u667a\u7b97<\/a> \u63d0\u524d 6 \u4e2a\u6708\u4e0e AMD \u4e2d\u56fd\u603b\u4ee3\u7b7e\u8ba2\u6846\u67b6\u4f9b\u8d27\u534f\u8bae\uff0cGPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u6c60\u5df2\u7a33\u5b9a\u4e0a\u7ebf 2000 \u5f20 MI300X \u4e0e 800 \u5f20 MI250\uff0c\u5168\u90e8\u9884\u88c5 ROCm 5.7\uff0c\u5185\u7f6e PyTorch 2.3+\u3001TensorFlow 2.15\u3001vLLM \u7b49\u4e3b\u6d41\u6846\u67b6\u3002\u7528\u6237\u53ea\u9700\u9009\u62e9\u201cAMD \u955c\u50cf\u201d\uff0c\u5373\u53ef\u5728 3 \u5206\u949f\u5185\u62c9\u8d77 8\u00d7MI300X \u88f8\u91d1\u5c5e\u8282\u70b9\uff0c\u7cfb\u7edf\u76d8\u4e0e\u6570\u636e\u76d8\u57fa\u4e8e NVMe-oF \u6301\u4e45\u5316\uff0cAI\u5e94\u7528<\/strong>\u8fc1\u79fb\u771f\u6b63\u505a\u5230\u201c\u62ce\u5305\u5165\u4f4f\u201d\u3002\u65b0\u6ce8\u518c\u8d26\u53f7\u8fd8\u53ef\u9886\u53d6 10 \u5143\u4f53\u9a8c\u91d1\uff0c0 \u6210\u672c\u9a8c\u8bc1\u6027\u80fd\u3002<\/p>\n\n\n\n\n\n\n\n
\u673a\u578b<\/th>\n\u663e\u5b58<\/th>\n\u8282\u70b9\u5355\u4ef7<\/th>\n\u6bcf GB \u663e\u5b58\u6210\u672c<\/th>\n\u6846\u67b6\u652f\u6301<\/th>\n\u5907\u6ce8<\/th>\n<\/tr>\n<\/thead>\n
MI300X<\/td>\n96 GB HBM3<\/td>\n\uffe52.2\/\u5c0f\u65f6<\/td>\n0.023 \u5143<\/td>\nPyTorch 2.3+\/TensorFlow 2.15<\/td>\n\u652f\u6301 FP8<\/td>\n<\/tr>\n
H100 SXM<\/td>\n80 GB HBM3<\/td>\n$3.5\/\u5c0f\u65f6<\/td>\n0.044 \u7f8e\u5143<\/td>\n\u540c\u4e0a<\/td>\n\u7f3a\u8d27\uff0c\u9700\u9884\u7ea6<\/td>\n<\/tr>\n
RTX 4090<\/td>\n24 GB GDDR6X<\/td>\n\uffe50.9\/\u5c0f\u65f6<\/td>\n0.038 \u5143<\/td>\n\u540c\u4e0a<\/td>\n\u9002\u5408\u63a8\u7406<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u4ee5 10 \u4ebf\u53c2\u6570\u7ea7 Llama \u5fae\u8c03\u4e3a\u4f8b\uff0c8\u00d7MI300X \u8282\u70b9\u8bad\u7ec3 24 \u5c0f\u65f6\uff0c\u663e\u5b58\u5229\u7528\u7387 95%\uff0c\u603b\u8d39\u7528\u4ec5 422 \u5143\uff1b\u540c\u7b49\u7cbe\u5ea6\u4e0b 8\u00d7H100 \u8282\u70b9\u9700 672 \u7f8e\u5143\uff08\u22484850 \u5143\uff09\uff0c\u6210\u672c\u5dee\u8ddd 11 \u500d<\/strong>\u3002<\/p>\n

6. \u5b9e\u64cd\uff1a30 \u5206\u949f\u628a\u539f\u672c CUDA \u4ee3\u7801\u8fc1\u79fb\u5230 ROCm\uff0c\u6027\u80fd\u635f\u5931<3%<\/h2>\n
    \n
  1. \u767b\u5f55\u661f\u5b87\u63a7\u5236\u53f0\uff0c\u9009\u62e9\u201cAMD ROCm 5.7 + PyTorch 2.3\u201d\u955c\u50cf\uff0c30 \u79d2\u5b8c\u6210\u5f00\u673a\uff1b <\/li>\n
  2. \u5c06\u65e7\u4ee3\u7801\u9996\u884c\u7684 import torch<\/code> \u4fdd\u6301\u4e0d\u52a8\uff0c\u4ec5\u9700\u628a device = cuda:0<\/code> \u6539\u4e3a device = cuda:0<\/code>\uff08ROCm \u5df2\u517c\u5bb9 CUDA Runtime API\uff09\uff1b <\/li>\n
  3. \u82e5\u7528\u5230\u81ea\u5b9a\u4e49 CUDA kernel\uff0c\u7528 hipify-perl<\/code> \u4e00\u952e\u8f6c\u8bd1\uff0c\u518d python setup.py install<\/code>\uff1b <\/li>\n
  4. \u8fd0\u884c torch.benchmark<\/code>\uff0cResNet50 batch 128 \u5b9e\u6d4b 1080 ms \u2192 1113 ms\uff0c\u6027\u80fd\u635f\u5931 3% \u4ee5\u5185<\/strong>\uff1b <\/li>\n
  5. \u8bad\u7ec3\u65e5\u5fd7\u3001Checkpoints \u81ea\u52a8\u4fdd\u5b58\u81f3\u5171\u4eab\u4e91\u76d8\uff0c\u8de8\u5b9e\u4f8b\u65e0\u9700\u8fc1\u79fb\u6570\u636e\u3002<\/li>\n<\/ol>\n

    \u6574\u4e2a\u6d41\u7a0b\u4ece\u521b\u5efa\u5b9e\u4f8b\u5230\u4ea7\u51fa\u7b2c\u4e00\u4e2a\u53ef\u590d\u73b0\u6307\u6807\uff0c\u5e73\u5747\u8017\u65f6 28 \u5206\u949f\uff0cGPU\u4e91\u4e3b\u673a<\/strong>\u9996\u6b21\u5b9e\u73b0\u201cAMD \u514d\u6539\u9020\u201d\u3002<\/p>\n

    7. \u7ed3\u8bba\uff1a\u5de8\u5934\u62a2\u5361\u6f6e\u4e0b\uff0c\u63d0\u524d\u9501\u5b9a\u661f\u5b87\u667a\u7b97 AMD \u8d44\u6e90=\u6027\u4ef7\u6bd4\u6700\u4f18\u89e3<\/h2>\n

    Meta \u7684 6 GW \u53ea\u662f\u5e8f\u7ae0\uff0c\u5fae\u8f6f\u3001\u8c37\u6b4c\u3001\u5b57\u8282\u8df3\u52a8\u90fd\u5728\u8bc4\u4f30 AMD \u65b9\u6848\u3002\u5f53\u5927 B \u7528\u957f\u7ea6\u9501\u6b7b\u4e0a\u6e38\uff0c\u7559\u7ed9\u4e2d\u5c0f\u56e2\u961f\u7684\u7a97\u53e3\u671f\u4e0d\u4f1a\u592a\u957f\u3002\u661f\u5b87\u667a\u7b97\u901a\u8fc7\u63d0\u524d\u56e4\u8d27\u3001\u8f6f\u786c\u4ef6\u4e00\u4f53\u4f18\u5316\u3001\u7075\u6d3b\u8ba1\u8d39\uff0c\u628a\u201c\u4e70\u4e0d\u5230\u3001\u79df\u4e0d\u8d77\u3001\u8fc1\u4e0d\u52a8\u201d\u7684\u4e09\u5ea7\u5927\u5c71\u4e00\u6b21\u6027\u94f2\u5e73\u3002\u73b0\u5728\u6ce8\u518c\u5373\u53ef\u9886\u53d6 10 \u5143\u4f53\u9a8c\u91d1\uff0cGPU\u670d\u52a1\u5668\u79df\u7528<\/strong>\u4f4e\u81f3 0.9 \u5143\/\u5c0f\u65f6\uff0cMI300X 96 GB \u8282\u70b9\u655e\u5f00\u79df\u3002\u4e0e\u5176\u5728 H100 \u6392\u961f\u540d\u5355\u91cc\u671b\u773c\u6b32\u7a7f\uff0c\u4e0d\u5982\u7acb\u523b\u767b\u9646 starverse-ai.com<\/a>\uff0c\u628a\u9884\u7b97\u7701\u4e0b\u6765\u6295\u5165\u5230\u6570\u636e\u548c\u7b97\u6cd5\u2014\u2014\u6bd5\u7adf\uff0cAI\u5e94\u7528<\/strong>\u7684\u521b\u65b0\u901f\u5ea6\uff0c\u624d\u771f\u6b63\u51b3\u5b9a\u8c01\u80fd\u8dd1\u5b8c\u4e0b\u4e00\u8f6e\u6a21\u578b\u7ade\u8d5b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u201c6 GW \u7684 AMD \u7b97\u529b\uff0c\u76f8\u5f53\u4e8e 60 \u4e07\u53f0 100 W…<\/p>\n","protected":false},"author":2,"featured_media":2352,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-2353","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zixun"],"views":41,"_links":{"self":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2353","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/comments?post=2353"}],"version-history":[{"count":0,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/posts\/2353\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media\/2352"}],"wp:attachment":[{"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/media?parent=2353"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/categories?post=2353"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.starverse-ai.com\/guide\/wp-json\/wp\/v2\/tags?post=2353"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}