{"id":20155,"date":"2024-11-29T12:03:13","date_gmt":"2024-11-29T04:03:13","guid":{"rendered":"https:\/\/www.simcentric.com\/uncategorized-tc\/what-are-the-key-factors-deciding-gpu-server-card-capacity\/"},"modified":"2024-11-29T13:34:23","modified_gmt":"2024-11-29T05:34:23","slug":"what-are-the-key-factors-deciding-gpu-server-card-capacity","status":"publish","type":"post","link":"https:\/\/www.simcentric.com\/tc\/hong-kong-dedicated-server-tc\/what-are-the-key-factors-deciding-gpu-server-card-capacity\/","title":{"rendered":"\u6c7a\u5b9aGPU\u4f3a\u670d\u5668\u986f\u5361\u5bb9\u91cf\u7684\u95dc\u9375\u56e0\u7d20\u6709\u54ea\u4e9b\uff1f"},"content":{"rendered":"

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

\u4e86\u89e3GPU\u4f3a\u670d\u5668\u67b6\u69cb<\/strong><\/h2>\n

\u5728\u90e8\u7f72GPU\u4f3a\u670d\u5668<\/a>\u79df\u7528\u6216\u4f3a\u670d\u5668\u8a17\u7ba1\u670d\u52d9\u6642,\u4e86\u89e3\u986f\u5361\u7684\u6700\u5927\u5bb9\u91cf\u5c0d\u65bc\u7372\u5f97\u6700\u4f73\u6548\u80fd\u81f3\u95dc\u91cd\u8981\u3002\u672c\u6280\u8853\u5206\u6790\u63a2\u8a0e\u4e86\u6c7a\u5b9a\u4f3a\u670d\u5668\u53ef\u4ee5\u6709\u6548\u652f\u63f4\u591a\u5c11\u584aGPU\u986f\u5361\u7684\u67b6\u69cb\u7d04\u675f\u548c\u5de5\u7a0b\u8003\u616e\u56e0\u7d20\u3002<\/p>\n

\u5be6\u9ad4\u786c\u9ad4\u9650\u5236<\/strong><\/h2>\n

\u4e3b\u8981\u7684\u5be6\u9ad4\u7d04\u675f\u9996\u5148\u4f86\u81ea\u4e3b\u6a5f\u677f\u7684PCIe\u67b6\u69cb\u3002\u73fe\u4ee3\u4f3a\u670d\u5668<\/a>\u4e3b\u6a5f\u677f\u901a\u5e38\u63d0\u4f9b4\u52308\u500bPCIe\u63d2\u69fd,\u4f46\u4e26\u975e\u6240\u6709\u63d2\u69fd\u90fd\u652f\u63f4GPU\u6548\u80fd\u6240\u9700\u7684\u5b8c\u6574x16\u983b\u5bec\u3002\u8b93\u6211\u5011\u4f86\u770b\u4e00\u500b\u5178\u578b\u7684PCIe\u901a\u9053\u5206\u914d:<\/p>\n

\r\n# PCIe\u901a\u9053\u5206\u914d\u793a\u4f8b\r\nCPU0_PCIE0: x16 (CPU\u76f4\u9023) - GPU\u6700\u512a\u9078\u64c7\r\nCPU0_PCIE1: x16 (CPU\u76f4\u9023) - GPU\u6700\u512a\u9078\u64c7\r\nCPU1_PCIE0: x16 (CPU\u76f4\u9023) - GPU\u6700\u512a\u9078\u64c7 \r\nCPU1_PCIE1: x8  (CPU\u76f4\u9023) - \u9069\u7528\u65bcGPU\u4f46\u983b\u5bec\u53d7\u9650\r\nPCH_PCIE0:  x4  (PCH) - \u4e0d\u63a8\u85a6\u7528\u65bcGPU\r\nPCH_PCIE1:  x4  (PCH) - \u4e0d\u63a8\u85a6\u7528\u65bcGPU<\/code><\/pre>\n
\u96fb\u6e90\u57fa\u790e\u8a2d\u65bd\u8981\u6c42<\/strong><\/h2>\n
\u4f9b\u96fb\u7cfb\u7d71\u5728GPU\u4f3a\u670d\u5668\u5bb9\u91cf\u4e2d\u767c\u63ee\u95dc\u9375\u4f5c\u7528\u3002\u73fe\u4ee3\u4f01\u696d\u7d1aGPU\u5982NVIDIA A100\u6216AMD MI250\u7684\u529f\u8017\u5728300-500W\u4e4b\u9593\u3002\u8b93\u6211\u5011\u8a08\u7b97\u4e00\u4e0b\u96fb\u6e90\u9700\u6c42:<\/p>\n
\r\n# \u96fb\u6e90\u8a08\u7b97\u793a\u4f8b (Python)\r\ndef calculate_total_power(gpu_count, gpu_tdp, cpu_tdp, base_system_power):\r\n    total_gpu_power = gpu_count * gpu_tdp\r\n    system_power = cpu_tdp + base_system_power\r\n    total_power = total_gpu_power + system_power\r\n    \r\n    # \u70ba\u529f\u7387\u6ce2\u52d5\u589e\u52a020%\u9918\u91cf\r\n    recommended_psu = total_power * 1.2\r\n    return total_power, recommended_psu\r\n\r\n# 4\u7247NVIDIA A100\u914d\u7f6e\u793a\u4f8b\r\ngpu_setup = calculate_total_power(\r\n    gpu_count=4,\r\n    gpu_tdp=400,  # \u6bcf\u584aGPU\u74e6\u7279\u6578\r\n    cpu_tdp=280,  # \u96d9CPU\u914d\u7f6e\r\n    base_system_power=150\r\n)\r\nprint(f\"\u6240\u9700\u529f\u7387: {gpu_setup[0]}W\")\r\nprint(f\"\u63a8\u85a6\u96fb\u6e90: {gpu_setup[1]}W\")<\/code><\/pre>\n
\u6563\u71b1\u7ba1\u7406\u67b6\u69cb<\/strong><\/h2>\n
\u96a8\u8457GPU\u6578\u91cf\u7684\u589e\u52a0,\u6709\u6548\u6563\u71b1\u8b8a\u5f97\u8d8a\u4f86\u8d8a\u5177\u6709\u6311\u6230\u6027\u3002\u9ad8\u5bc6\u5ea6GPU\u4f3a\u670d\u5668\u79df\u7528\u9700\u8981\u8907\u96dc\u7684\u71b1\u7ba1\u7406\u89e3\u6c7a\u65b9\u6848\u3002\u4ee5\u4e0b\u662f\u6563\u71b1\u8a2d\u8a08\u7684\u5be6\u7528\u65b9\u6cd5:<\/p>\n
\r\n# \u6563\u71b1\u5340\u57df\u898f\u5283\r\n\u5340\u57df1: \u524d\u5f8c\u6c23\u6d41\r\n- \u51b7\u901a\u9053: 18-22\u00b0C\r\n- \u71b1\u901a\u9053: \u6700\u9ad835\u00b0C\r\n- \u6c23\u58d3: \u51b7\u901a\u9053\u6b63\u58d3\r\n\r\n\u5340\u57df2: GPU\u5c08\u7528\u6563\u71b1\r\n- \u6bcfGPU\u98a8\u91cf: 150-200 CFM\r\n- \u6eab\u5ea6\u5dee: \u2264 15\u00b0C\r\n- \u98a8\u6247\u901f\u5ea6\u8abf\u7bc0: PWM\u63a7\u5236\r\n\r\n\u5340\u57df3: CPU\u548c\u8a18\u61b6\u9ad4\u6563\u71b1\r\n- \u7368\u7acb\u6c23\u6d41\u8def\u5f91\r\n- \u5197\u9918\u98a8\u6247\u914d\u7f6e\r\n- N+1\u51b7\u537b\u5197\u9918<\/code><\/pre>\n
\u8edf\u9ad4\u5806\u758a\u8003\u616e<\/strong><\/h2>\n
\u8edf\u9ad4\u57fa\u790e\u8a2d\u65bd\u5fc5\u9808\u9ad8\u6548\u7ba1\u7406\u591a\u500bGPU\u3002\u4ee5\u4e0b\u662fCUDA\u88dd\u7f6e\u679a\u8209\u548c\u8ca0\u8f09\u5206\u914d\u7684\u793a\u4f8b:<\/p>\n
\r\n\/\/ CUDA\u591aGPU\u7ba1\u7406\u793a\u4f8b\r\n#include \r\n\r\nvoid check_gpu_configuration() {\r\n    int deviceCount;\r\n    cudaGetDeviceCount(&deviceCount);\r\n    \r\n    for (int dev = 0; dev < deviceCount; dev++) {\r\n        cudaDeviceProp deviceProp;\r\n        cudaGetDeviceProperties(&deviceProp, dev);\r\n        \r\n        printf(\"\u88dd\u7f6e %d: %s\\n\", dev, deviceProp.name);\r\n        printf(\"  \u8a08\u7b97\u80fd\u529b: %d.%d\\n\", \r\n               deviceProp.major, deviceProp.minor);\r\n        printf(\"  \u7e3d\u5168\u57df\u8a18\u61b6\u9ad4: %lu GB\\n\",\r\n               deviceProp.totalGlobalMem\/1024\/1024\/1024);\r\n        printf(\"  \u6bcf\u584a\u6700\u5927\u57f7\u884c\u7dd2\u6578: %d\\n\",\r\n               deviceProp.maxThreadsPerBlock);\r\n    }\r\n}<\/code><\/pre>\n
\u7db2\u8def\u67b6\u69cb\u5f71\u97ff<\/strong><\/h2>\n
\u9ad8\u5bc6\u5ea6GPU\u4f3a\u670d\u5668\u79df\u7528\u9700\u8981\u4ed4\u7d30\u8003\u616e\u7db2\u8def\u62d3\u64b2\u3002\u5728\u591aGPU\u5de5\u4f5c\u8ca0\u8f09\u4e2d,GPU\u9593\u901a\u8a0a\u983b\u5bec\u6210\u70ba\u95dc\u9375\u56e0\u7d20\u3002\u8003\u616e\u4ee5\u4e0b\u7db2\u8def\u67b6\u69cb:<\/p>\n
\r\n# \u672a\u4f86GPU\u4f3a\u670d\u5668\u898f\u683c\r\nfuture_requirements = {\r\n    \"\u529f\u7387\u5bc6\u5ea6\": \"\u6bcfGPU\u6700\u9ad8800W\",\r\n    \"\u6563\u71b1\u80fd\u529b\": \"\u6bcf\u6a5f\u6ac34000W\",\r\n    \"\u7db2\u8def\u983b\u5bec\": \"400 Gbps\",\r\n    \"pcie\u4e16\u4ee3\": \"PCIe 5.0\/6.0\",\r\n    \"\u8a18\u61b6\u9ad4\u983b\u5bec\": \"8 TB\/s\",\r\n    \"\u4e92\u806f\": \"800 GB\/s\"\r\n}<\/code><\/pre>\n
\u6700\u4f73\u5316\u7b56\u7565<\/strong><\/h2>\n
\u5728GPU\u4f3a\u670d\u5668\u79df\u7528\u74b0\u5883\u4e2d\u5be6\u65bd\u52d5\u614b\u8cc7\u6e90\u5206\u914d\u548c\u76e3\u63a7\u81f3\u95dc\u91cd\u8981\u3002\u4ee5\u4e0b\u662f\u76e3\u63a7\u6846\u67b6\u793a\u4f8b:<\/p>\n
\r\nimport nvidia_smi\r\n\r\ndef monitor_gpu_metrics():\r\n    nvidia_smi.nvmlInit()\r\n    device_count = nvidia_smi.nvmlDeviceGetCount()\r\n    metrics = []\r\n    \r\n    for i in range(device_count):\r\n        handle = nvidia_smi.nvmlDeviceGetHandleByIndex(i)\r\n        info = {\r\n            \"\u529f\u8017\": nvidia_smi.nvmlDeviceGetPowerUsage(handle),\r\n            \"\u6eab\u5ea6\": nvidia_smi.nvmlDeviceGetTemperature(\r\n                handle, nvidia_smi.NVML_TEMPERATURE_GPU\r\n            ),\r\n            \"\u4f7f\u7528\u7387\": nvidia_smi.nvmlDeviceGetUtilizationRates(handle),\r\n            \"\u8a18\u61b6\u9ad4\": nvidia_smi.nvmlDeviceGetMemoryInfo(handle)\r\n        }\r\n        metrics.append(info)\r\n    return metrics<\/code><\/pre>\n
\u7d50\u8ad6\u548c\u6700\u4f73\u5be6\u52d9<\/strong><\/h2>\n
\u4f3a\u670d\u5668\u79df\u7528\u74b0\u5883\u4e2d\u7684\u6700\u5927GPU\u986f\u5361\u5bb9\u91cf\u53d6\u6c7a\u65bc\u786c\u9ad4\u9650\u5236\u3001\u96fb\u6e90\u57fa\u790e\u8a2d\u65bd\u3001\u6563\u71b1\u80fd\u529b\u548c\u8edf\u9ad4\u6700\u4f73\u5316\u7684\u8907\u96dc\u76f8\u4e92\u4f5c\u7528\u3002\u5728\u8a2d\u8a08GPU\u57fa\u790e\u8a2d\u65bd\u6642,\u8acb\u8003\u616e\u4ee5\u4e0b\u95dc\u9375\u56e0\u7d20:<\/p>\n