{"id":21318,"date":"2025-01-02T11:23:19","date_gmt":"2025-01-02T03:23:19","guid":{"rendered":"https:\/\/www.simcentric.com\/uncategorized-tc\/what-are-the-4-layers-of-ai-computing-power\/"},"modified":"2025-01-02T11:24:30","modified_gmt":"2025-01-02T03:24:30","slug":"what-are-the-4-layers-of-ai-computing-power","status":"publish","type":"post","link":"https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/","title":{"rendered":"AI\u7b97\u529b\u76844\u500b\u5c64\u7d1a\u662f\u4ec0\u9ebc\uff1f"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text css=””]<\/p>\n

AI\u7b97\u529b<\/a>\u57fa\u790e\u8a2d\u65bd\u7684\u683c\u5c40\u5df2\u7d93\u6f14\u8b8a\u6210\u4e00\u500b\u8907\u96dc\u7684\u56db\u5c64\u67b6\u69cb\uff0c\u6bcf\u4e00\u5c64\u5728\u63d0\u4f9b\u73fe\u4ee3AI\u5de5\u4f5c\u8ca0\u8f09\u6240\u9700\u7684\u7b97\u529b\u65b9\u9762\u90fd\u767c\u63ee\u8457\u95dc\u9375\u4f5c\u7528\u3002\u7121\u8ad6\u60a8\u662f\u57f7\u884c\u8907\u96dc\u7684\u795e\u7d93\u7db2\u8def\u9084\u662f\u5927\u898f\u6a21\u90e8\u7f72\u6a5f\u5668\u5b78\u7fd2\u6a21\u578b\uff0c\u77ad\u89e3\u9019\u4e9b\u5c64\u7d1a\u5c0d\u65bc\u6700\u4f73\u5316\u7f8e\u570b\u4f3a\u670d\u5668\u79df\u7528<\/a>\u89e3\u6c7a\u65b9\u6848\u90fd\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n

1. \u57fa\u790e\uff1aAI\u6676\u7247\u5c64<\/strong><\/h2>\n

AI\u7b97\u529b\u7684\u6838\u5fc3\u662f\u5c08\u70ba\u77e9\u9663\u904b\u7b97\u548c\u4e26\u884c\u8655\u7406\u8a2d\u8a08\u7684\u5c08\u7528\u786c\u9ad4\u3002NVIDIA\u7684A100\u548cH100 GPU\u5728\u9019\u4e00\u9818\u57df\u4f54\u64da\u4e3b\u5c0e\u5730\u4f4d\uff0c\u53ef\u63d0\u4f9b\u9ad8\u9054624 TFLOPS\u7684FP16\u6548\u80fd\u3002\u82f1\u7279\u723e\u7684Gaudi2\u548cAMD\u7684MI250\u70ba\u7279\u5b9a\u5de5\u4f5c\u8ca0\u8f09\uff08\u5982\u81ea\u7136\u8a9e\u8a00\u8655\u7406\uff09\u63d0\u4f9b\u4e86\u5177\u6709\u7af6\u722d\u529b\u7684\u66ff\u4ee3\u65b9\u6848\u3002<\/p>\n

\u6700\u65b0\u4e00\u4ee3AI\u6676\u7247\u5fb9\u5e95\u6539\u8b8a\u4e86\u6df1\u5ea6\u5b78\u7fd2\u7b97\u529b\u3002\u57fa\u65bcHopper\u67b6\u69cb\u7684NVIDIA H100\u5f15\u5165\u4e86\u8b8a\u9769\u6027\u7279\u6027\uff0c\u5982Transformer\u5f15\u64ce\u548cHBM3\u8a18\u61b6\u9ad4\uff0c\u8207\u5176\u524d\u4ee3\u7522\u54c1\u76f8\u6bd4\uff0c\u5728\u5927\u578b\u8a9e\u8a00\u6a21\u578b\u4e0a\u5be6\u73fe\u4e863\u500d\u66f4\u5feb\u7684\u8a13\u7df4\u901f\u5ea6\u548c30\u500d\u66f4\u5feb\u7684\u63a8\u8ad6\u901f\u5ea6\u3002AMD\u7684MI250\u6191\u85c9\u5176\u7368\u7279\u7684MCM\u8a2d\u8a08\u5728HPC\u5de5\u4f5c\u8ca0\u8f09\u65b9\u9762\u8868\u73fe\u51fa\u8272\uff0c\u800c\u82f1\u7279\u723e\u7684Gaudi2\u5247\u70ba\u7279\u5b9aAI\u6a21\u578b\u63d0\u4f9b\u4e86\u5177\u6709\u6210\u672c\u6548\u76ca\u7684\u8a13\u7df4\u65b9\u6848\u3002<\/p>\n

\u6676\u7247\u9078\u64c7\u7684\u95dc\u9375\u8003\u616e\u56e0\u7d20\uff1a<\/p>\n

\r\n\/\/ \u6027\u80fd\u6bd4\u8f03\u793a\u4f8b\r\nconst chipComparison = {\r\n    'NVIDIA_H100': {\r\n        FP16_TFLOPS: 624,\r\n        memory: '80GB HBM3',\r\n        powerDraw: '700W'\r\n    },\r\n    'AMD_MI250': {\r\n        FP16_TFLOPS: 383,\r\n        memory: '128GB HBM2e',\r\n        powerDraw: '560W'\r\n    }\r\n};\r\n<\/code><\/pre>\n
2. \u67b6\u69cb\uff1a\u7cfb\u7d71\u5c64<\/strong><\/h2>\n
\u7cfb\u7d71\u5c64\u5c07\u786c\u9ad4\u5143\u4ef6\u7de8\u6392\u6210\u7d71\u4e00\u7684\u7b97\u529b\u55ae\u5143\u3002\u73fe\u4ee3AI\u4f3a\u670d\u5668\u901a\u5e38\u63a1\u7528NVLink\u6216Infinity Fabric\u9032\u884cGPU\u9593\u901a\u8a0a\uff0c\u4e26\u8f14\u4ee5InfiniBand\u6216100GbE\u7b49\u9ad8\u983b\u5bec\u7db2\u8def\u3002<\/p>\n
\u7cfb\u7d71\u67b6\u69cb\u6700\u4f73\u5316\u4e0d\u50c5\u50c5\u4fb7\u9650\u65bc\u539f\u59cb\u7b97\u529b\u3002\u73fe\u4ee3AI\u53e2\u96c6\u5be6\u65bd\u4e86\u8907\u96dc\u7684\u51b7\u537b\u89e3\u6c7a\u65b9\u6848\uff0c\u5305\u62ec\u76f4\u63a5\u6676\u7247\u6db2\u51b7\uff0c\u9019\u80fd\u5be6\u73fe\u66f4\u9ad8\u7684\u6301\u7e8c\u6027\u80fd\u548c\u66f4\u597d\u7684\u80fd\u6e90\u6548\u7387\u3002CXL\uff08Compute Express Link\uff09\u6280\u8853\u7684\u6574\u5408\u6b63\u5728\u6539\u8b8a\u8a18\u61b6\u9ad4\u67b6\u69cb\uff0c\u5141\u8a31\u5728\u8a08\u7b97\u7bc0\u9ede\u4e4b\u9593\u9032\u884c\u66f4\u9748\u6d3b\u548c\u9ad8\u6548\u7684\u8cc7\u6e90\u6c60\u5316\u3002<\/p>\n
\u5178\u578b\u7684\u6df1\u5ea6\u5b78\u7fd2\u7cfb\u7d71\u67b6\u69cb\uff1a<\/p>\n
\r\nsystem_architecture = {\r\n    'compute': '8x NVIDIA A100 GPUs',\r\n    'memory': '2TB DDR5 RAM',\r\n    'storage': {\r\n        'fast_tier': '8TB NVMe',\r\n        'capacity_tier': '100TB NVMe over fabric'\r\n    },\r\n    'network': 'HDR InfiniBand (200Gbps)'\r\n}\r\n<\/code><\/pre>\n
3. \u667a\u6167\uff1a\u5e73\u53f0\u5c64<\/strong><\/h2>\n
\u5e73\u53f0\u5c64\u63d0\u4f9bAI\u958b\u767c\u548c\u90e8\u7f72\u7684\u6846\u67b6\u548c\u5de5\u5177\u3002\u71b1\u9580\u7684\u9078\u64c7\u5305\u62ecPyTorch\u3001TensorFlow\uff0c\u4ee5\u53ca\u8d8a\u4f86\u8d8a\u591a\u7684\u652f\u63f4GPU\u7684\u96f2\u539f\u751f\u5e73\u53f0\u5982Kubernetes\u3002<\/p>\n
\u5e73\u53f0\u5c64\u6280\u8853\u7684\u6700\u65b0\u9032\u5c55\u5f15\u5165\u4e86\u81ea\u52d5\u6a21\u578b\u4e26\u884c\u548c\u6d41\u6c34\u7dda\u4e26\u884c\u7b56\u7565\u3002\u50cfDeepSpeed\u548cMegatron-LM\u9019\u6a23\u7684\u6846\u67b6\u900f\u904e\u667a\u6167\u5de5\u4f5c\u8ca0\u8f09\u5206\u914d\uff0c\u5be6\u73fe\u4e86\u842c\u5104\u53c3\u6578\u6a21\u578b\u7684\u9ad8\u6548\u8a13\u7df4\u3002\u5bb9\u5668\u7de8\u6392\u5e73\u53f0\u5df2\u7d93\u767c\u5c55\u5230\u80fd\u5920\u8655\u7406\u8907\u96dc\u7684AI\u5de5\u4f5c\u6d41\u7a0b\uff0c\u5177\u6709\u5c08\u9580\u7684\u6392\u7a0b\u5668\u4f86\u6700\u4f73\u5316GPU\u4f7f\u7528\u7387\u548c\u7ba1\u7406\u591a\u79df\u6236\u74b0\u5883\u3002<\/p>\n
GPU\u5de5\u4f5c\u8ca0\u8f09\u7684Kubernetes\u914d\u7f6e\u793a\u4f8b\uff1a<\/p>\n
\r\napiVersion: v1\r\nkind: Pod\r\nmetadata:\r\n  name: gpu-pod\r\nspec:\r\n  containers:\r\n  - name: gpu-container\r\n    image: nvidia\/cuda:11.0-base\r\n    resources:\r\n      limits:\r\n        nvidia.com\/gpu: 2\r\n<\/code><\/pre>\n
4. \u53ef\u8a2a\u554f\u6027\uff1a\u96f2\u7aef\u670d\u52d9\u5c64<\/strong><\/h2>\n
\u96f2\u7aef\u670d\u52d9\u62bd\u8c61\u4e86\u57fa\u790e\u8a2d\u65bd\u7684\u8907\u96dc\u6027\uff0c\u63d0\u4f9bGPU\u57f7\u884c\u500b\u9ad4\u548cAI\u5e73\u53f0\u5373\u670d\u52d9\u3002\u7f8e\u570b\u4f3a\u670d\u5668\u79df\u7528\u63d0\u4f9b\u5546\u63d0\u4f9b\u9019\u4e9b\u670d\u52d9\u6642\u5177\u6709\u4e0d\u540c\u7a0b\u5ea6\u7684\u62bd\u8c61\u6027\uff0c\u5f9e\u88f8\u6a5fGPU\u4f3a\u670d\u5668\u5230\u5b8c\u5168\u8a17\u7ba1\u7684AI\u5e73\u53f0\u90fd\u6709\u6db5\u84cb\u3002<\/p>\n
\u7f8e\u570b\u4f3a\u670d\u5668\u79df\u7528\u63d0\u4f9b\u5546\u6b63\u5728\u958b\u5275AI\u5de5\u4f5c\u8ca0\u8f09\u7684\u5275\u65b0\u5b9a\u50f9\u6a21\u5f0f\uff0c\u5305\u62ec\u7528\u65bc\u8a13\u7df4\u4f5c\u696d\u7684\u7af6\u50f9\u57f7\u884c\u500b\u9ad4\u548c\u7528\u65bc\u63a8\u8ad6\u5de5\u4f5c\u8ca0\u8f09\u7684\u9810\u7559\u5bb9\u91cf\u3002\u5148\u9032\u7684\u76e3\u63a7\u5de5\u5177\u63d0\u4f9bGPU\u4f7f\u7528\u7387\u3001\u8a18\u61b6\u9ad4\u983b\u5bec\u548c\u529f\u8017\u7684\u5373\u6642\u6d1e\u5bdf\uff0c\u5be6\u73fe\u52d5\u614b\u8cc7\u6e90\u5206\u914d\u548c\u6210\u672c\u6700\u4f73\u5316\u3002\u8a31\u591a\u63d0\u4f9b\u5546\u73fe\u5728\u63d0\u4f9b\u9810\u914d\u7f6e\u8edf\u9ad4\u5806\u758a\u548c\u81ea\u52d5\u64f4\u5c55\u529f\u80fd\u7684\u5c08\u9580AI\u6700\u4f73\u5316\u74b0\u5883\u3002<\/p>\n
\u5178\u578b\u96f2\u7aefGPU\u57f7\u884c\u500b\u9ad4\u898f\u683c\uff1a<\/p>\n
\r\nclass GPUInstance:\r\n    def __init__(self):\r\n        self.gpu_type = \"NVIDIA A100\"\r\n        self.gpu_count = 8\r\n        self.cpu_cores = 96\r\n        self.memory = \"2TB\"\r\n        self.network = \"100 Gbps\"\r\n        self.storage = \"15TB NVMe\"\r\n<\/code><\/pre>\n
\u9078\u64c7\u6b63\u78ba\u7684AI\u7b97\u529b\u89e3\u6c7a\u65b9\u6848<\/strong><\/h2>\n
\u60a8\u7684AI\u57fa\u790e\u8a2d\u65bd\u9078\u64c7\u53d6\u6c7a\u65bc\u5de5\u4f5c\u8ca0\u8f09\u7279\u5fb5\u3001\u9810\u7b97\u9650\u5236\u548c\u64f4\u5c55\u9700\u6c42\u3002\u7f8e\u570b\u4f3a\u670d\u5668\u4ee3\u7ba1\u8a2d\u65bd\u5728\u96fb\u529b\u6210\u672c\u3001\u7db2\u8def\u9023\u63a5\u548c\u6cd5\u898f\u5408\u898f\u6027\u65b9\u9762\u5177\u6709\u512a\u52e2\u3002<\/p>\n
\u5728\u9078\u64c7AI\u7b97\u529b\u89e3\u6c7a\u65b9\u6848\u6642\uff0c\u8acb\u8003\u616eAI\u6a21\u578b\u7684\u5b8c\u6574\u751f\u547d\u9031\u671f\u3002\u958b\u767c\u74b0\u5883\u53ef\u80fd\u53d7\u76ca\u65bc\u96f2\u7aef\u7684\u9748\u6d3b\u6027\uff0c\u800c\u751f\u7522\u90e8\u7f72\u901a\u5e38\u9700\u8981\u5c08\u7528\u4f3a\u670d\u5668\u4ee5\u4fdd\u6301\u7a69\u5b9a\u6548\u80fd\u3002\u7f8e\u570b\u4f3a\u670d\u5668\u79df\u7528\u8a2d\u65bd\u901a\u5e38\u63d0\u4f9b\u6df7\u5408\u89e3\u6c7a\u65b9\u6848\uff0c\u7d50\u5408\u4e86\u5169\u7a2e\u65b9\u6cd5\u7684\u512a\u52e2\uff0c\u5728\u96f2\u7aef\u548c\u4f3a\u670d\u5668\u4ee3\u7ba1\u8cc7\u6e90\u4e4b\u9593\u5efa\u7acb\u9ad8\u901f\u4e92\u9023\u3002<\/p>\n
\u9700\u8981\u8003\u616e\u7684\u56e0\u7d20\u5305\u62ec\uff1a<\/p>\n
– \u8a13\u7df4\u8207\u63a8\u8ad6\u9700\u6c42<\/p>\n
– \u8cc7\u6599\u4f4d\u7f6e\u548c\u96b1\u79c1\u8003\u91cf<\/p>\n
– \u9810\u7b97\u548c\u7e3d\u64c1\u6709\u6210\u672c\u8a08\u7b97<\/p>\n
– \u64f4\u5c55\u6a21\u5f0f\u548c\u8cc7\u6e90\u4f7f\u7528\u7387<\/p>\n
\u672a\u4f86\u8da8\u52e2\u548c\u767c\u5c55<\/strong><\/h2>\n
AI\u7b97\u529b\u9818\u57df\u7e7c\u7e8c\u96a8\u8457\u5149\u5b78\u904b\u7b97\u3001\u795e\u7d93\u5f62\u614b\u6676\u7247\u548c\u91cf\u5b50\u52a0\u901f\u5668\u7b49\u65b0\u8208\u6280\u8853\u800c\u767c\u5c55\u3002\u7f8e\u570b\u4f3a\u670d\u5668\u79df\u7528\u63d0\u4f9b\u5546\u7ad9\u5728\u63a1\u7528\u9019\u4e9b\u5275\u65b0\u7684\u524d\u6cbf\uff0c\u63d0\u4f9b\u5c0d\u5c16\u7aefAI\u7b97\u529b\u8cc7\u6e90\u7684\u65e9\u671f\u8a2a\u554f\u3002<\/p>\n
AI\u7279\u5b9a\u7db2\u8def\u5354\u5b9a\u548c\u5ba2\u88fd\u5316\u4e92\u9023\u7684\u51fa\u73fe\u6709\u671b\u9032\u4e00\u6b65\u6e1b\u5c11\u5206\u6563\u5f0f\u8a13\u7df4\u4e2d\u7684\u901a\u8a0a\u958b\u92b7\u3002\u5149\u5b50\u904b\u7b97\u89e3\u6c7a\u65b9\u6848\u5728\u7279\u5b9aAI\u5de5\u4f5c\u8ca0\u8f09\u65b9\u9762\u986f\u793a\u51fa\u524d\u666f\uff0c\u53ef\u80fd\u5728\u80fd\u6e90\u6548\u7387\u65b9\u9762\u63d0\u4f9b\u6578\u91cf\u7d1a\u7684\u6539\u9032\u3002\u91cf\u5b50\u904b\u7b97\u5143\u7d20\u7684\u6574\u5408\u53ef\u80fd\u6703\u5fb9\u5e95\u6539\u8b8aAI\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u7684\u67d0\u4e9b\u6700\u4f73\u5316\u548c\u6a21\u64ec\u4efb\u52d9\u3002<\/p>\n
\u7d50\u8ad6<\/strong><\/h2>\n
\u7406\u89e3AI\u7b97\u529b\u7684\u56db\u500b\u5c64\u7d1a\u5c0d\u65bc\u69cb\u5efa\u6709\u6548\u7684AI\u57fa\u790e\u8a2d\u65bd\u81f3\u95dc\u91cd\u8981\u3002\u7121\u8ad6\u60a8\u9078\u64c7\u7f8e\u570b\u4f3a\u670d\u5668\u79df\u7528\u89e3\u6c7a\u65b9\u6848\u9084\u662f\u6df7\u5408\u65b9\u6848\uff0c\u95dc\u9375\u662f\u8981\u5c07\u60a8\u7684\u57fa\u790e\u8a2d\u65bd\u9078\u64c7\u8207\u7279\u5b9a\u7684AI\u5de5\u4f5c\u8ca0\u8f09\u9700\u6c42\u548c\u696d\u52d9\u76ee\u6a19\u4fdd\u6301\u4e00\u81f4\u3002<\/p>\n
[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"
[vc_row][vc_column][vc_column_text css=””]  […]<\/p>\n
Read More…<\/a><\/p>\n","protected":false},"author":2,"featured_media":21314,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4815],"tags":[5750,5752,5751,4849,3522],"class_list":["post-21318","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-america-dedicated-server-tc","tag-ai-computing-power-tc","tag-deep-learning-infrastructure-tc","tag-ai-infrastructure-layers-tc","tag-us-hosting-tc","tag-gpu-servers-tc"],"acf":[],"yoast_head":"\nAI\u7b97\u529b\u76844\u500b\u5c64\u7d1a\u662f\u4ec0\u9ebc\uff1f<\/title>\n<meta name=\"description\" content=\"\u6df1\u5165\u77ad\u89e3AI\u7b97\u529b\u57fa\u790e\u8a2d\u65bd\u7684\u56db\u500b\u5c64\u7d1a\uff1a\u6676\u7247\u3001\u7cfb\u7d71\u3001\u5e73\u53f0\u548c\u96f2\u7aef\u670d\u52d9\u3002\u77ad\u89e3\u5982\u4f55\u70ba\u60a8\u7684AI\u5c08\u6848\u9078\u64c7\u5408\u9069\u7684\u7f8e\u570b\u4f3a\u670d\u5668\u89e3\u6c7a\u65b9\u6848\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/21318\" \/>\n<meta property=\"og:locale\" content=\"zh_TW\" \/>\n<meta property=\"og:type\" content=\"company\" \/>\n<meta property=\"og:title\" content=\"AI\u7b97\u529b\u76844\u500b\u5c64\u7d1a\u662f\u4ec0\u9ebc\uff1f\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/21318\" \/>\n<meta property=\"og:site_name\" content=\"\u65b0\u5929\u57df\u4e92\u806f\" \/>\n<meta property=\"article:published_time\" content=\"2025-01-02T03:23:19+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-01-02T03:24:30+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.simcentric.com\/wp-content\/uploads\/2025\/01\/sim-blog-2025-01-02-blogB.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"614\" \/>\n\t<meta property=\"og:image:height\" content=\"343\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"AI\u7b97\u529b\u76844\u500b\u5c64\u7d1a\u662f\u4ec0\u9ebc\uff1f","description":"\u6df1\u5165\u77ad\u89e3AI\u7b97\u529b\u57fa\u790e\u8a2d\u65bd\u7684\u56db\u500b\u5c64\u7d1a\uff1a\u6676\u7247\u3001\u7cfb\u7d71\u3001\u5e73\u53f0\u548c\u96f2\u7aef\u670d\u52d9\u3002\u77ad\u89e3\u5982\u4f55\u70ba\u60a8\u7684AI\u5c08\u6848\u9078\u64c7\u5408\u9069\u7684\u7f8e\u570b\u4f3a\u670d\u5668\u89e3\u6c7a\u65b9\u6848\u3002","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/21318","og_locale":"zh_TW","og_type":"company","og_title":"AI\u7b97\u529b\u76844\u500b\u5c64\u7d1a\u662f\u4ec0\u9ebc\uff1f","og_url":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/21318","og_site_name":"\u65b0\u5929\u57df\u4e92\u806f","article_published_time":"2025-01-02T03:23:19+00:00","article_modified_time":"2025-01-02T03:24:30+00:00","og_image":[{"width":614,"height":343,"url":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2025\/01\/sim-blog-2025-01-02-blogB.jpg","type":"image\/jpeg"}],"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/#article","isPartOf":{"@id":"https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/"},"author":{"name":"Debbie Ng","@id":"https:\/\/simcentric.com\/tc\/#\/schema\/person\/0bfc8768eb7caacbfab4a0855d805626"},"headline":"AI\u7b97\u529b\u76844\u500b\u5c64\u7d1a\u662f\u4ec0\u9ebc\uff1f","datePublished":"2025-01-02T03:23:19+00:00","dateModified":"2025-01-02T03:24:30+00:00","mainEntityOfPage":{"@id":"https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/"},"wordCount":88,"publisher":{"@id":"https:\/\/simcentric.com\/tc\/#organization"},"image":{"@id":"https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/#primaryimage"},"thumbnailUrl":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2025\/01\/sim-blog-2025-01-02-blogB.jpg","keywords":["AI\u7b97\u529b","\u6df1\u5ea6\u5b78\u7fd2\u57fa\u790e\u8a2d\u65bd","AI\u57fa\u790e\u8a2d\u65bd\u5c64\u7d1a","\u7f8e\u570b\u4f3a\u670d\u5668\u79df\u7528","GPU\u4f3a\u670d\u5668"],"articleSection":["\u7f8e\u570b\u4f3a\u670d\u5668"],"inLanguage":"zh-HK"},{"@type":"WebPage","@id":"https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/","url":"https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/","name":"AI\u7b97\u529b\u76844\u500b\u5c64\u7d1a\u662f\u4ec0\u9ebc\uff1f","isPartOf":{"@id":"https:\/\/simcentric.com\/tc\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/#primaryimage"},"image":{"@id":"https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/#primaryimage"},"thumbnailUrl":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2025\/01\/sim-blog-2025-01-02-blogB.jpg","datePublished":"2025-01-02T03:23:19+00:00","dateModified":"2025-01-02T03:24:30+00:00","description":"\u6df1\u5165\u77ad\u89e3AI\u7b97\u529b\u57fa\u790e\u8a2d\u65bd\u7684\u56db\u500b\u5c64\u7d1a\uff1a\u6676\u7247\u3001\u7cfb\u7d71\u3001\u5e73\u53f0\u548c\u96f2\u7aef\u670d\u52d9\u3002\u77ad\u89e3\u5982\u4f55\u70ba\u60a8\u7684AI\u5c08\u6848\u9078\u64c7\u5408\u9069\u7684\u7f8e\u570b\u4f3a\u670d\u5668\u89e3\u6c7a\u65b9\u6848\u3002","breadcrumb":{"@id":"https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/#breadcrumb"},"inLanguage":"zh-HK","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/"]}]},{"@type":"ImageObject","inLanguage":"zh-HK","@id":"https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/#primaryimage","url":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2025\/01\/sim-blog-2025-01-02-blogB.jpg","contentUrl":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2025\/01\/sim-blog-2025-01-02-blogB.jpg","width":614,"height":343,"caption":"AI\u7b97\u529b\u57fa\u790e\u8a2d\u65bd\u7684\u56db\u5c64\u7d1a\u67b6\u69cb"},{"@type":"BreadcrumbList","@id":"https:\/\/www.simcentric.com\/tc\/america-dedicated-server-tc\/what-are-the-4-layers-of-ai-computing-power\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.simcentric.com\/tc\/"},{"@type":"ListItem","position":2,"name":"AI\u7b97\u529b\u76844\u500b\u5c64\u7d1a\u662f\u4ec0\u9ebc\uff1f"}]},{"@type":"WebSite","@id":"https:\/\/simcentric.com\/tc\/#website","url":"https:\/\/simcentric.com\/tc\/","name":"Simcentric Solutions","description":"","publisher":{"@id":"https:\/\/simcentric.com\/tc\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/simcentric.com\/tc\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"zh-HK"},{"@type":"Organization","@id":"https:\/\/simcentric.com\/tc\/#organization","name":"Simcentric Solutions","url":"https:\/\/simcentric.com\/tc\/","logo":{"@type":"ImageObject","inLanguage":"zh-HK","@id":"https:\/\/simcentric.com\/tc\/#\/schema\/logo\/image\/","url":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2023\/06\/sim-logo-2023.png","contentUrl":"https:\/\/www.simcentric.com\/wp-content\/uploads\/2023\/06\/sim-logo-2023.png","width":800,"height":222,"caption":"Simcentric Solutions"},"image":{"@id":"https:\/\/simcentric.com\/tc\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/simcentric.com\/tc\/#\/schema\/person\/0bfc8768eb7caacbfab4a0855d805626","name":"Debbie Ng","image":{"@type":"ImageObject","inLanguage":"zh-HK","@id":"https:\/\/secure.gravatar.com\/avatar\/9f3420f60d27329ed6e921ddaae5206353d0a7414d1abb6f1f0b32b4fd849965?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/9f3420f60d27329ed6e921ddaae5206353d0a7414d1abb6f1f0b32b4fd849965?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/9f3420f60d27329ed6e921ddaae5206353d0a7414d1abb6f1f0b32b4fd849965?s=96&d=mm&r=g","caption":"Debbie Ng"}}]}},"_links":{"self":[{"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/21318","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/comments?post=21318"}],"version-history":[{"count":2,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/21318\/revisions"}],"predecessor-version":[{"id":21321,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/posts\/21318\/revisions\/21321"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/media\/21314"}],"wp:attachment":[{"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/media?parent=21318"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/categories?post=21318"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.simcentric.com\/tc\/wp-json\/wp\/v2\/tags?post=21318"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}