{"id":2318,"date":"2026-03-01T16:22:14","date_gmt":"2026-03-01T08:22:14","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2318"},"modified":"2026-03-01T16:22:14","modified_gmt":"2026-03-01T08:22:14","slug":"ai%e5%88%9b%e4%b8%9a%e5%9b%a2%e9%98%9f%e7%9c%81%e9%92%b1%e7%94%9f%e5%ad%98%e6%8c%87%e5%8d%97%ef%bc%9a%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97%e5%b9%b3%e5%8f%b0%e6%96%b0%e4%ba%ba7","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2318","title":{"rendered":"AI\u521b\u4e1a\u56e2\u961f\u2018\u7701\u94b1\u751f\u5b58\u6307\u5357\u2019\uff1a\u661f\u5b87\u667a\u7b97\u5e73\u53f0\u65b0\u4eba7\u5929\u514d\u8d39+20\u4f59\u9879AI\u5e94\u7528\u4e00\u952e\u5373\u73a9\u5168\u653b\u7565"},"content":{"rendered":"
\"AI\u521b\u4e1a\u56e2\u961f\u2018\u7701\u94b1\u751f\u5b58\u6307\u5357\u2019\uff1a\u661f\u5b87\u667a\u7b97\u5e73\u53f0\u65b0\u4eba7\u5929\u514d\u8d39+20\u4f59\u9879AI\u5e94\u7528\u4e00\u952e\u5373\u73a9\u5168\u653b\u7565\"<\/figure>\n
\n

\u201c\u5927\u6a21\u578b\u521b\u4e1a\u534a\u5e74\uff0c\u8fd8\u6ca1\u76c8\u5229\u5c31\u8981\u5148\u7838\u6389\u51e0\u767e\u4e07\u4e70\u663e\u5361\u3002\u201d\u2014\u2014\u8fd9\u662f\u4eca\u5e74 4 \u6708\u5317\u4eac\u67d0\u751f\u6210\u5f0f AI \u8bba\u575b\u4e0a\uff0c\u4e00\u4f4d\u521b\u59cb\u4eba\u53f0\u4e0b\u5410\u69fd\u7684\u771f\u5b9e\u7247\u6bb5\u3002\u878d\u8d44\u73af\u5883\u8d8b\u51b7\u3001GPU \u4ef7\u683c\u5c45\u9ad8\u4e0d\u4e0b\uff0c\u8ba9\u201c\u73b0\u91d1\u6d41\u201d\u6210\u4e3a\u60ac\u5728\u6bcf\u4f4d AI \u521b\u4e1a\u8005\u5934\u4e0a\u7684\u8fbe\u6469\u514b\u5229\u65af\u4e4b\u5251\u3002
\n\u636e\u300a2024 \u4e2d\u56fd AI \u521d\u521b\u767d\u76ae\u4e66\u300b\u7edf\u8ba1\uff0c\u79cd\u5b50\u8f6e\u56e2\u961f\u5e73\u5747 GPU \u6295\u5165\u5360\u6bd4\u9ad8\u8fbe 61.4%<\/strong>\uff0c\u8fdc\u8d85\u4eba\u529b\u4e0e\u6570\u636e\u6210\u672c\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u8fd8\u6ca1\u8dd1\u901a PMF\uff0c\u786c\u4ef6\u5c31\u5148\u201c\u5403\u6389\u201d\u4e86\u5927\u90e8\u5206\u5b50\u5f39\u3002\u5982\u4f55\u5728\u4fdd\u8bc1\u6a21\u578b\u8fed\u4ee3\u901f\u5ea6\u7684\u524d\u63d0\u4e0b\uff0c\u628a\u7b97\u529b\u652f\u51fa\u4ece CAPEX \u53d8\u6210\u53ef\u7075\u6d3b\u8c03\u6574\u7684 OPEX\uff0c\u6210\u4e3a\u51b7\u542f\u52a8\u9636\u6bb5\u7684\u7b2c\u4e00\u6027\u547d\u9898\u3002<\/p>\n<\/blockquote>\n

\u4e00\u3001\u628a\u201c\u4e70\u663e\u5361\u201d\u53d8\u6210\u201c\u70b9\u5916\u5356\u201d\uff1a\u661f\u5b87\u667a\u7b97 7 \u5929\u514d\u8d39\u5c1d\u9c9c<\/h2>\n

\u661f\u5b87\u667a\u7b97<\/a>\uff08GPU\u670d\u52a1\u5668\u79df\u7528\/GPU\u4e91\u4e3b\u673a\uff09\u7ed9\u51fa\u7684\u7b54\u6848\u5f88\u76f4\u63a5\u2014\u2014\u6ce8\u518c\u5373\u9001 7 \u5929 A5000 \/ RTX 4090 \u4f53\u9a8c\u91d1<\/strong>\uff0c\u518d\u53e0\u52a0 10 \u5143\u65e0\u95e8\u69db\u4f59\u989d\uff0c\u8db3\u591f\u628a Stable Diffusion XL\u3001ChatGLM3-6B\u3001CodeLlama-34B\u3001RAGFlow \u7b49 20 \u4f59\u6b3e\u70ed\u95e8 AI \u5e94\u7528<\/a> \u5168\u90e8\u8dd1\u4e00\u904d\u3002
\n\u65e0\u9700\u88c5\u673a\u3001\u65e0\u9700\u7b49\u5f85\u7269\u6d41\u3001\u66f4\u4e0d\u7528\u71ac\u591c\u5199\u9a71\u52a8\uff0c\u6d4f\u89c8\u5668\u91cc\u70b9\u9009\u955c\u50cf\uff0c30 \u79d2\u81ea\u52a8\u4e0b\u53d1\u5bb9\u5668\uff0cSSH\/Jupyter \u5165\u53e3\u4e00\u952e\u66b4\u9732\uff0c\u672c\u5730 VS Code \u76f4\u63a5 remote \u4e0a\u53bb\u5c31\u80fd\u5f00\u5e72\u3002\u5bf9\u4e8e\u8fd8\u5728\u201cMVP \u9a8c\u8bc1\u201d\u9636\u6bb5\u7684\u56e2\u961f\uff0c\u76f8\u5f53\u4e8e\u628a\u201c\u4e70\u663e\u5361\u201d\u53d8\u6210\u4e86\u201c\u70b9\u5916\u5356\u201d\uff0c\u4ec0\u4e48\u65f6\u5019\u9700\u8981\u4ec0\u4e48\u65f6\u5019\u4e0b\u5355\uff0c\u6309\u5c0f\u65f6\u8ba1\u8d39\uff0c\u968f\u65f6\u542f\u505c\uff0c\u73b0\u91d1\u6d41\u77ac\u95f4\u8f7b\u76c8\u3002<\/p>\n

\u4e8c\u3001 pip install 0 \u884c\u547d\u4ee4\uff1a50+ \u6a21\u578b\u955c\u50cf\u5373\u70b9\u5373\u73a9<\/h2>\n

\u4f20\u7edf\u4e91\u5382\u5546\u7ed9\u7684\u662f\u201c\u88f8\u91d1\u5c5e + \u955c\u50cf\u5e02\u573a\u201d\uff0c\u661f\u5b87\u667a\u7b97\u5219\u628a\u9897\u7c92\u5ea6\u505a\u5230\u201c\u7b97\u6cd5\u7ea7\u201d\u3002
\n– Stable Diffusion 1.5\/2.1\/XL<\/strong> \u5df2\u5185\u7f6e xFormers\u3001ControlNet\u3001LoRA \u811a\u672c\uff0cWebUI \u7aef\u53e3\u81ea\u52a8\u6620\u5c04\uff0c\u4e0a\u4f20 10 \u5f20\u56fe\u5373\u53ef\u5f00\u59cb\u98ce\u683c\u5316\u8bad\u7ec3\uff1b
\n– ChatGLM3-6B<\/strong> \u63d0\u4f9b 4-bit\/8-bit \u91cf\u5316\u7248\u672c\uff0c\u5355\u5361 4090 \u53ef\u8dd1 8k \u4e0a\u4e0b\u6587\uff0c\u63a8\u7406\u901f\u5ea6 60+ tokens\/s\uff1b
\n– CodeLlama-34B-Python<\/strong> \u9884\u88c5 vLLM \u52a0\u901f\u6846\u67b6\uff0c\u914d\u5408 64G \u663e\u5b58 A5000\uff0cHumanEval pass@1 \u76f4\u8fbe 48.7%\uff1b
\n– RAGFlow<\/strong> \u628a LangChain + Faiss + LLM \u6253\u5305\u6210\u62d6\u62fd\u5f0f\u5de5\u4f5c\u6d41\uff0cPDF\u3001Markdown \u6279\u91cf\u4e0a\u4f20\u540e\uff0c10 \u5206\u949f\u5c31\u80fd\u6784\u5efa\u79c1\u6709\u77e5\u8bc6\u95ee\u7b54\u3002 <\/p>\n

\u6240\u6709\u955c\u50cf\u5747\u56fa\u5316\u5728\u661f\u5b87\u667a\u7b97\u81ea\u7814\u7684\u201c\u5e94\u7528\u4ed3\u5e93\u201d\uff0c\u7248\u672c\u3001\u4f9d\u8d56\u3001\u9a71\u52a8\u3001CUDA\u3001cuDNN \u5168\u9501\u6b7b\uff0c\u5f7b\u5e95\u544a\u522b\u201c\u672c\u5730\u80fd\u8dd1\u3001\u4e91\u7aef\u62a5\u9519\u201d\u7684 pip \u5730\u72f1\u3002<\/p>\n

\u4e09\u3001\u4ece\u6570\u636e\u5230\u63a8\u7406\u7684 MLOps \u95ed\u73af\uff1a\u62d6\u62fd\u5c31\u80fd\u4e0a\u7ebf<\/h2>\n

\u521b\u4e1a\u56e2\u961f\u6700\u6015\u201c\u7b97\u6cd5\u731b\u5982\u864e\uff0c\u4e0a\u7ebf 0 \u6bd4 5\u201d\u3002\u661f\u5b87\u667a\u7b97\u628a MLOps \u6d41\u6c34\u7ebf\u62c6\u6210 4 \u4e2a\u53ef\u89c6\u5316\u6a21\u5757\uff0c\u5185\u7f6e\u5728 GPU\u4e91\u4e3b\u673a<\/a> \u63a7\u5236\u53f0\uff1a
\n1. \u6570\u636e\u6807\u6ce8<\/strong>\uff1a\u96c6\u6210 Label-Studio\uff0c\u652f\u6301\u591a\u4eba\u534f\u540c\u3001\u7248\u672c\u56de\u6eaf\uff0c\u6807\u6ce8\u7ed3\u679c\u81ea\u52a8\u5199\u5165 OSS\uff1b
\n2. \u8bad\u7ec3\u4efb\u52a1<\/strong>\uff1a\u53ef\u76f4\u63a5\u8c03\u7528\u5e73\u53f0\u4e0a 50+ \u516c\u5171\u6570\u636e\u96c6\uff0c\u4e5f\u652f\u6301\u6302\u8f7d NAS \u79c1\u6709\u6570\u636e\uff0c\u5206\u5e03\u5f0f\u8bad\u7ec3\u6846\u67b6\u4e00\u952e\u62c9\u8d77\uff1b
\n3. \u6a21\u578b\u90e8\u7f72<\/strong>\uff1a\u8bad\u7ec3\u5b8c\u6210\u81ea\u52a8\u4ea7\u51fa ONNX \/ TorchScript \u955c\u50cf\uff0c\u6eda\u52a8\u70ed\u66f4\u65b0\uff0c\u96f6\u505c\u673a\uff1b
\n4. \u76d1\u63a7\u544a\u8b66<\/strong>\uff1aGPU \u5229\u7528\u7387\u3001\u663e\u5b58\u5360\u7528\u3001QPS\u3001P99 \u5ef6\u8fdf\u5b9e\u65f6\u770b\u677f\uff0c\u8d85\u8fc7\u9608\u503c\u81ea\u52a8\u98de\u4e66\/\u9489\u9489\u901a\u77e5\u3002 <\/p>\n

\u5168\u7a0b\u62d6\u62c9\u62fd\uff0c\u65e0\u9700\u5199 YAML\uff0c1 \u4e2a\u7b97\u6cd5 + 1 \u4e2a\u4ea7\u54c1<\/strong>\u5c31\u80fd\u628a\u6a21\u578b\u4ece\u201c\u5b9e\u9a8c\u201d\u63a8\u5230\u201c\u751f\u4ea7\u201d\uff0c\u8ba9\u5de5\u7a0b\u5e08\u628a\u65f6\u95f4\u82b1\u5728\u8c03\u53c2\u800c\u4e0d\u662f\u5199 Jenkinsfile\u3002<\/p>\n

\u56db\u3001\u51b7\u542f\u52a8\u201c\u56de\u8840\u201d\u6307\u5357\uff1a\u9080\u8bf7\u597d\u53cb\u6700\u9ad8\u8fd4 10% \u73b0\u91d1<\/h2>\n

\u661f\u5b87\u667a\u7b97\u521b\u4f5c\u8005\u4e2d\u5fc3\u540c\u6b65\u4e0a\u7ebf\u201c\u5206\u4eab\u8fd4\u4f63\u201d\u8ba1\u5212\uff1a
\n– \u4e2a\u4eba\u9080\u8bf7\u7801\u6bcf\u5e26\u6765\u4e00\u4f4d\u65b0\u7528\u6237\uff0c\u65b0\u7528\u6237\u5145\u503c\u91d1\u989d\u7684 10% \u76f4\u63a5\u8fd4\u73b0<\/strong>\uff0c\u4e0a\u4e0d\u5c01\u9876\uff1b
\n– \u88ab\u9080\u8bf7\u4eba\u7ee7\u7eed\u88c2\u53d8\uff0c\u4e8c\u7ea7\u8fd4\u4f63 5%\uff0c\u652f\u6301\u652f\u4ed8\u5b9d\/\u5bf9\u516c\u6253\u6b3e\uff1b
\n– \u8fd4\u4f63\u4f59\u989d\u53ef 100% \u62b5\u6263 GPU\u670d\u52a1\u5668\u79df\u7528<\/a> \u8d39\u7528\uff0c\u4e5f\u53ef\u63d0\u73b0\uff0c\u771f\u6b63\u505a\u5230\u201c\u7528\u522b\u4eba\u7684\u9700\u6c42\u517b\u81ea\u5df1\u7684\u6a21\u578b\u201d\u3002 <\/p>\n

\u5bf9\u4e8e\u65e9\u671f\u7f3a\u5e02\u573a\u9884\u7b97\u7684\u6821\u56ed\u56e2\u961f\u6216\u72ec\u7acb\u5f00\u53d1\u8005\uff0c\u8fd9\u76f8\u5f53\u4e8e\u628a\u201c\u7b97\u529b\u6210\u672c\u201d\u53cd\u5411\u53d8\u6210\u4e86\u201c\u73b0\u91d1\u6d41\u5165\u53e3\u201d\u3002<\/p>\n

\u4e94\u3001\u5e38\u89c1\u95ee\u9898 3 \u8fde\uff1a\u989d\u5ea6\u3001\u6388\u6743\u3001\u53d1\u7968\u4e00\u6b21\u8bf4\u6e05<\/h2>\n\n\n\n\n\n\n\n
\u95ee\u9898<\/th>\n\u5b98\u65b9\u89e3\u7b54<\/th>\n<\/tr>\n<\/thead>\n
7 \u5929\u5230\u671f\u540e\u5982\u4f55\u5347\u7ea7\u989d\u5ea6\uff1f<\/td>\n\u63a7\u5236\u53f0\u201c\u5145\u503c\u4e2d\u5fc3\u201d\u652f\u6301\u6309\u5c0f\u65f6\/\u5305\u5468\/\u5305\u6708\u4e09\u79cd\u6a21\u5f0f\uff0cRTX 4090 \u6700\u4f4e 1.98 \u5143\/\u5c0f\u65f6\uff0c\u6bd4\u4e3b\u6d41\u4e91\u5382\u5546\u4f4e 35%+\u3002<\/td>\n<\/tr>\n
\u5546\u7528\u6388\u6743\u662f\u5426\u5408\u89c4\uff1f<\/td>\n\u5e73\u53f0\u6240\u6709\u516c\u5171\u6a21\u578b\u5747\u9075\u5faa\u5bf9\u5e94\u5f00\u6e90\u534f\u8bae\uff08Apache 2.0\u3001MIT\u3001OpenRAIL-M \u7b49\uff09\uff0c\u7528\u6237\u4e8c\u6b21\u5fae\u8c03\u540e\u53ef\u6b63\u5e38\u5546\u7528\uff0c\u661f\u5b87\u667a\u7b97\u4e0d\u51fa\u552e\u989d\u5916\u6388\u6743\u8d39\u3002<\/td>\n<\/tr>\n
\u53d1\u7968\u600e\u4e48\u5f00\uff1f<\/td>\n\u767b\u5f55\u540e\u53f0\u201c\u8d22\u52a1-\u53d1\u7968\u7ba1\u7406\u201d\uff0c\u7535\u5b50\u666e\u7968 1 \u5206\u949f\u751f\u6210\uff1b\u7eb8\u8d28\u4e13\u7968\u987a\u4e30\u5305\u90ae\uff0c3 \u4e2a\u5de5\u4f5c\u65e5\u5bc4\u51fa\uff0c\u652f\u6301\u6309\u9879\u76ee\/\u6309\u5145\u503c\u6279\u6b21\u7075\u6d3b\u62c6\u5206\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u7ed3\u8bed\uff1a\u8ba9\u7b97\u529b\u50cf\u6c34\u7535\u4e00\u6837\u5373\u5f00\u5373\u7528<\/h2>\n

\u5728 AI \u521b\u4e1a\u201c\u7701\u94b1\u751f\u5b58\u6307\u5357\u201d\u91cc\uff0c\u6700\u9ad8\u4f18\u5148\u7ea7\u6c38\u8fdc\u662f\u628a\u56fa\u5b9a\u6210\u672c\u53d8\u6210\u53ef\u53d8\u6210\u672c<\/strong>\u3002\u661f\u5b87\u667a\u7b97\u7528 7 \u5929\u514d\u8d39 + 10 \u5143\u4f53\u9a8c\u91d1\uff0c\u628a\u52a8\u8f84\u6570\u4e07\u5143\u7684 GPU \u91c7\u8d2d\u62c6\u6210\u53ef\u5c0f\u65f6\u8ba1\u8d39\u7684\u201c\u4e91\u6c34\u7535\u201d\uff1b\u7528 50+ \u4e00\u952e\u955c\u50cf\u4e0e\u62d6\u62fd\u5f0f MLOps\uff0c\u628a\u73af\u5883\u642d\u5efa\u3001\u8bad\u7ec3\u3001\u90e8\u7f72\u3001\u76d1\u63a7\u538b\u7f29\u5230\u5c0f\u65f6\u7ea7\uff1b\u518d\u7528\u6700\u9ad8 10% \u7684\u8fd4\u4f63\u8ba1\u5212\uff0c\u8ba9\u5f00\u53d1\u8005\u628a\u7b97\u529b\u652f\u51fa\u53cd\u5411\u53d8\u6210\u6536\u76ca\u3002 <\/p>\n

\u5982\u679c\u4f60\u6b63\u88ab\u201c\u663e\u5361\u8352\u201d\u548c\u201c\u73b0\u91d1\u6d41\u201d\u4e24\u5934\u5939\u51fb\uff0c\u4e0d\u59a8\u73b0\u5728\u5c31\u53bb \u661f\u5b87\u667a\u7b97\u5b98\u7f51<\/a> \u6ce8\u518c\uff0c0 \u5143\u5148\u628a RTX 4090 \u8dd1\u8d77\u6765<\/strong>\uff0c\u8ba9\u521b\u610f\u4e0d\u518d\u7b49\u5f85\uff0c\u8ba9\u51b7\u542f\u52a8\u4e0d\u518d\u70e7\u94b1\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

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