{"id":2224,"date":"2026-02-28T14:18:22","date_gmt":"2026-02-28T06:18:22","guid":{"rendered":"https:\/\/www.starverse-ai.com\/guide\/archives\/2224"},"modified":"2026-02-28T14:18:22","modified_gmt":"2026-02-28T06:18:22","slug":"%e5%9b%bd%e4%ba%a7ai%e8%8a%af%e7%89%87%e5%bc%80%e6%ba%90%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%8f%8c%e8%bd%ae%e9%a9%b1%e5%8a%a8%ef%bc%8c%e6%98%9f%e5%ae%87%e6%99%ba%e7%ae%97%e5%b9%b3%e5%8f%b0%e6%89%93","status":"publish","type":"post","link":"https:\/\/www.starverse-ai.com\/guide\/archives\/2224","title":{"rendered":"\u56fd\u4ea7AI\u82af\u7247+\u5f00\u6e90\u5927\u6a21\u578b\u53cc\u8f6e\u9a71\u52a8\uff0c\u661f\u5b87\u667a\u7b97\u5e73\u53f0\u6253\u9020\u201c\u4e2d\u56fd\u7248CoreWeave\u201d"},"content":{"rendered":"
\"\u56fd\u4ea7AI\u82af\u7247+\u5f00\u6e90\u5927\u6a21\u578b\u53cc\u8f6e\u9a71\u52a8\uff0c\u661f\u5b87\u667a\u7b97\u5e73\u53f0\u6253\u9020\u201c\u4e2d\u56fd\u7248CoreWeave\u201d\"<\/figure>\n
\n
\n

\u201c\u4e70\u4e0d\u5230\u5361\u3001\u4e70\u4e0d\u8d77\u5361\u3001\u7528\u4e0d\u8d77\u5361\u201d\u2014\u2014\u77ed\u77ed\u5341\u4e8c\u5b57\uff0c\u9053\u51fa\u4e86\u8fc7\u53bb\u4e24\u5e74\u4e2d\u56fd AI \u521b\u4e1a\u8005\u7684\u96c6\u4f53\u7126\u8651\u3002\u7f8e\u56fd\u65b0\u4e00\u8f6e\u51fa\u53e3\u9650\u5236\u843d\u5730\uff0cA100\/H100 \u6ea2\u4ef7\u4e00\u5ea6\u98d9\u5347 3 \u500d\uff1b\u82f1\u4f1f\u8fbe\u5b98\u65b9\u6e20\u9053\u65ad\u8d27\uff0c\u4e8c\u624b\u5e02\u573a\u201c\u5361\u6bd4\u91d1\u8d35\u201d\u3002\u5f53\u7b97\u529b\u6210\u4e3a\u7ee7\u6570\u636e\u3001\u7b97\u6cd5\u4e4b\u540e\u7684\u7b2c\u4e09\u9053\u201c\u5361\u8116\u5b50\u201d\u5173\u53e3\uff0c\u56fd\u4ea7 GPU\u3001TPU \u8d5b\u9053\u53cd\u800c\u6309\u4e0b\u52a0\u901f\u952e\uff1a\u6c90\u66e6\u3001\u5bd2\u6b66\u7eaa\u3001\u534e\u4e3a\u6607\u817e\u76f8\u7ee7\u91cf\u4ea7\uff0c\u6027\u80fd\u5bf9\u6807\u56fd\u9645\u4e3b\u6d41\uff0c\u4ef7\u683c\u5374\u4ec5\u4e3a 40%\u201460%\u3002\u653f\u7b56\u7aef\u4e5f\u5728\u6301\u7eed\u52a0\u7801\uff0c\u5317\u4eac\u3001\u4e0a\u6d77\u3001\u6df1\u5733\u3001\u53a6\u95e8\u7b49\u591a\u5730\u201c\u7b97\u529b\u5238\u201d\u8865\u8d34\u6700\u9ad8\u53ef\u62b5 50% \u79df\u91d1\u3002\u4f9b\u9700\u3001\u8d44\u672c\u3001\u653f\u7b56\u4e09\u7bad\u9f50\u53d1\uff0c\u4e2d\u56fd\u7248\u201cCoreWeave\u201d\u547c\u4e4b\u6b32\u51fa\u3002<\/p>\n<\/blockquote>\n

\u56fd\u4ea7 AI \u82af\u7247 + \u5f00\u6e90\u5927\u6a21\u578b\u53cc\u8f6e\u9a71\u52a8\uff0c\u661f\u5b87\u667a\u7b97\u5e73\u53f0\u6253\u9020\u201c\u4e2d\u56fd\u7248 CoreWeave\u201d<\/h2>\n

01 \u884c\u4e1a\uff1a\u51fa\u53e3\u9650\u5236\u4e0e\u6ea2\u4ef7\u5012\u903c\uff0c\u56fd\u4ea7\u7b97\u529b\u751f\u6001\u5d1b\u8d77<\/h3>\n

\u7f8e\u56fd\u51fa\u53e3\u7ba1\u5236\u6e05\u5355\u4e0d\u65ad\u6269\u5927\uff0c\u56fd\u5185\u4e92\u8054\u7f51\u5927\u5382\u3001\u79d1\u7814\u9662\u6240\u88ab\u8feb\u91cd\u65b0\u8bc4\u4f30\u4f9b\u5e94\u94fe\u5b89\u5168\u3002\u6c90\u66e6 7nm GPU\u3001\u5bd2\u6b66\u7eaa MLU 370\u3001\u534e\u4e3a\u6607\u817e 910B \u7b49\u56fd\u4ea7\u82af\u7247\u5728 FP16\u3001INT8 \u7b49\u4e3b\u6d41\u7cbe\u5ea6\u4e0b\uff0c\u4e0e A100 \u5dee\u8ddd\u7f29\u5c0f\u81f3 10% \u4ee5\u5185\uff1b\u66f4\u5173\u952e\u7684\u662f\uff0c\u672c\u571f\u5382\u5546\u5f00\u653e\u6307\u4ee4\u96c6\u3001\u9a71\u52a8\u4e0e\u5de5\u5177\u94fe\uff0c\u4e00\u6539\u8fc7\u53bb\u201c\u53ea\u5356\u786c\u4ef6\u201d\u7684\u7c97\u653e\u6a21\u5f0f\uff0c\u4e3a\u6846\u67b6\u9002\u914d\u3001\u6027\u80fd\u8c03\u4f18\u63d0\u4f9b\u539f\u5382\u7ea7\u652f\u6301\u3002\u786c\u4ef6\u5e73\u4ef7+\u8f6f\u4ef6\u5f00\u6e90\uff0c\u4e3a\u201cGPU \u670d\u52a1\u5668\u79df\u7528\u201d\u5e02\u573a\u6253\u5f00\u65b0\u4e00\u8f6e\u56fd\u4ea7\u5316\u7a97\u53e3\u3002<\/p>\n

02 \u5e73\u53f0\uff1a\u661f\u5b87\u667a\u7b97\u7387\u5148\u5b8c\u6210\u4e09\u82af\u540c\u6c60\uff0c\u6846\u67b6\u4e00\u952e\u5207\u6362<\/h3>\n

\u5f53\u5927\u591a\u6570\u4e91\u5382\u5546\u4ecd\u5728\u201c\u80fd\u70b9\u4eae\u201d\u9636\u6bb5\u5f98\u5f8a\u65f6\uff0c\u661f\u5b87\u667a\u7b97<\/strong><\/a> \u5df2\u57fa\u4e8e\u81ea\u7814\u7684\u5f02\u6784\u8c03\u5ea6\u5f15\u64ce\uff0c\u628a\u6c90\u66e6\u3001\u5bd2\u6b66\u7eaa\u3001\u6607\u817e\u7edf\u4e00\u63a5\u5165\u540c\u4e00\u8d44\u6e90\u6c60\u3002PyTorch\u3001TensorFlow\u3001MindSpore\u3001Paddle \u56db\u5927\u6846\u67b6\u955c\u50cf\u9884\u88c5\uff0c\u7528\u6237\u4ec5\u9700\u5728\u63a7\u5236\u53f0\u52fe\u9009\u201c\u76ee\u6807\u82af\u7247\u201d\uff0c\u7cfb\u7edf\u5373\u53ef 30 \u79d2\u5185\u5b8c\u6210\u9a71\u52a8\u3001CUDA\/ROCm\/ACL \u5e93\u5207\u6362\uff0c\u771f\u6b63\u5b9e\u73b0\u201c\u50cf\u6362\u706f\u6ce1\u4e00\u6837\u6362\u82af\u7247\u201d\u3002
\n\u5bf9\u4e8e\u9700\u8981\u5f39\u6027\u7b97\u529b\u7684\u56e2\u961f\uff0c\u5e73\u53f0\u63d0\u4f9b\u6309\u5c0f\u65f6\u3001\u6309\u5929\u3001\u6309\u6708\u4e09\u79cdGPU \u4e91\u4e3b\u673a<\/strong><\/a>\u65b9\u6848\uff0c\u6700\u4f4e 1.2 \u5143\/\u5361\u65f6\u8d77\uff1b\u82e5\u4e1a\u52a1\u5b58\u5728\u6ce2\u5cf0\u6ce2\u8c37\uff0c\u8fd8\u53ef\u8c03\u7528 Spot \u5b9e\u4f8b\u518d\u964d 70% \u6210\u672c\u3002\u65b0\u6ce8\u518c\u7528\u6237\u5373\u53ef\u9886\u53d6 10 \u5143\u4f53\u9a8c\u91d1\uff0c0 \u6210\u672c\u8dd1\u901a 7B \u5f00\u6e90\u5927\u6a21\u578b\u63a8\u7406\u6d4b\u8bd5\u3002<\/p>\n

03 \u653f\u7b56\uff1a\u7b97\u529b\u5238\u201c\u79d2\u6279\u79d2\u5230\u201d\uff0c\u661f\u5b87\u667a\u7b97\u5168\u7a0b\u4ee3\u529e<\/h3>\n

\u53a6\u95e8\u3001\u9752\u5c9b\u3001\u5408\u80a5\u3001\u6210\u90fd\u7b49\u5730\u5148\u540e\u53d1\u5e03\u201c\u7b97\u529b\u5238\u201d\u7ec6\u5219\uff1a\u5bf9\u91c7\u8d2d\u56fd\u4ea7\u82af\u7247\u7b97\u529b\u7684\u4f01\u4e1a\uff0c\u7ed9\u4e88\u6700\u9ad8 50% \u79df\u91d1\u8865\u8d34\uff0c\u5355\u5bb6\u5e74\u5ea6\u4e0a\u9650 500 \u4e07\u5143\u3002\u661f\u5b87\u667a\u7b97\u5728\u653f\u5e9c\u63a5\u53e3\u4fa7\u5b8c\u6210 API \u5bf9\u63a5\uff0c\u7528\u6237\u4e0b\u5355\u65f6\u7cfb\u7edf\u81ea\u52a8\u5339\u914d\u6700\u4f18\u5238\u5305\uff0c\u65e0\u9700\u81ea\u884c\u8dd1\u817f\u76d6\u7ae0\uff1b\u6750\u6599\u5ba1\u6838\u3001\u53d1\u7968\u56de\u4f20\u3001\u8865\u8d34\u56de\u6b3e\u5168\u7a0b\u7ebf\u4e0a\u53ef\u89c6\uff0c\u6700\u5feb T+3 \u5de5\u4f5c\u65e5\u5230\u8d26\u3002\u4ee5\u79df\u7528 8 \u5361\u6607\u817e 910B\uff0880G\uff09\u4e00\u4e2a\u6708\u4e3a\u4f8b\uff0c\u539f\u4ef7 1.6 \u4e07\u5143\uff0c\u53e0\u52a0\u7b97\u529b\u5238\u540e\u5b9e\u4ed8 0.8 \u4e07\u5143\uff0c\u76f8\u5f53\u4e8e\u6bcf\u5361\u6bcf\u5929 33 \u5143\uff0c\u6210\u672c\u4f18\u52bf\u76f4\u63a5\u5bf9\u6807\u81ea\u5efa\u673a\u623f\u3002<\/p>\n

04 \u751f\u6001\uff1a\u9ad8\u6821+\u5f00\u6e90\u793e\u533a\u5171\u5efa\uff0c10+ \u56fd\u4ea7\u82af\u7247\u5927\u6a21\u578b\u6848\u4f8b\u514d\u8d39\u5f00\u653e<\/h3>\n

\u7b97\u529b\u201c\u5e73\u4ef7\u201d\u53ea\u662f\u7b2c\u4e00\u6b65\uff0c\u6a21\u578b\u4e0e\u6570\u636e\u624d\u662f\u843d\u5730\u5173\u952e\u3002\u661f\u5b87\u667a\u7b97\u8054\u5408\u6e05\u534e\u3001\u53a6\u5927\u3001\u54c8\u5de5\u5927\u53ca OpenBayes\u3001\u9b54\u642d\u793e\u533a\uff0c\u7387\u5148\u53d1\u5e03 10 \u4f59\u4e2a\u57fa\u4e8e\u56fd\u4ea7\u82af\u7247\u8bad\u7ec3\u7684\u5927\u6a21\u578b\u5b9e\u4f8b\uff1a
\n– Chinese-LLaMA-7B-\u6607\u817e<\/strong>\u2014\u20141800 \u4e07\u6761\u4e2d\u6587\u6307\u4ee4\u5fae\u8c03\uff0c\u63a8\u7406\u901f\u5ea6 2100 tokens\/s
\n– ChatGLM3-6B-\u6c90\u66e6<\/strong>\u2014\u2014FP16 \u7cbe\u5ea6\u4e0b\u663e\u5b58\u5360\u7528\u964d\u4f4e 18%\uff0c\u652f\u6301 128K \u957f\u6587\u672c
\n– Yi-34B-\u5bd2\u6b66\u7eaa<\/strong>\u2014\u2014\u6df7\u5408\u5e76\u884c\u7b56\u7565\uff0c\u5343\u5361\u8bad\u7ec3\u7a33\u5b9a\u6027 > 99.5% <\/p>\n

\u5e73\u53f0\u5185\u7f6e\u7684AI \u5e94\u7528<\/strong><\/a>\u5e02\u573a\u5df2\u4e0a\u7ebf\u6587\u672c\u751f\u6210\u3001\u8bed\u97f3\u514b\u9686\u3001AI \u7ed8\u753b\u3001\u89c6\u9891\u4fee\u590d\u7b49 60 \u4f59\u6b3e\u70ed\u95e8\u955c\u50cf\uff0c\u7528\u6237\u70b9\u51fb\u201c\u90e8\u7f72\u201d\u5373\u53ef\u79d2\u7ea7\u62c9\u8d77\u5bb9\u5668\uff0c\u6570\u636e\u4e0e\u6a21\u578b\u81ea\u52a8\u6302\u8f7d\u5230\u9ad8\u901f\u4e91\u76d8\uff0c\u771f\u6b63\u505a\u5230\u201c\u4e00\u952e\u5373\u73a9\u201d\u3002\u540c\u65f6\uff0c\u5e73\u53f0\u5f00\u653e TB \u7ea7\u4e2d\u6587\u6570\u636e\u96c6\uff1a\u767e\u79d1\u3001\u95ee\u7b54\u3001\u4ee3\u7801\u3001\u6cd5\u5f8b\u3001\u533b\u5b66\u4e94\u5927\u9886\u57df\uff0c\u53ef\u81ea\u7531\u4e0b\u8f7d\u6216\u6302\u8f7d\u81f3\u5b9e\u4f8b\uff0c\u514d\u9664\u8f97\u8f6c\u627e\u6570\u3001\u6e05\u6d17\u683c\u5f0f\u4e4b\u82e6\u3002<\/p>\n

05 \u5c55\u671b\uff1a2026 \u5e74\u5efa\u6210 10 EFLOPS \u5f02\u6784\u7b97\u529b\uff0c\u8bda\u9080\u5f00\u53d1\u8005\u5171\u5efa<\/h3>\n

\u6309\u7167\u89c4\u5212\uff0c\u661f\u5b87\u667a\u7b97\u5c06\u4e8e 2024 \u5e74\u5e95\u5b8c\u6210 1 EFLOPS \u56fd\u4ea7\u82af\u7247\u5e03\u5c40\uff1b\u5230 2026 \u5e74\uff0c\u96c6\u7fa4\u89c4\u6a21\u6269\u5c55\u81f3 10 EFLOPS\uff0c\u5176\u4e2d 60% \u4e3a\u56fd\u4ea7 GPU\/TPU\uff0c40% \u4e3a\u5148\u8fdb\u5236\u7a0b\u56fd\u9645\u5361\uff0c\u5f62\u6210\u771f\u6b63\u7684\u201c\u5f02\u6784\u6df7\u5408\u6c60\u201d\u3002\u5e73\u53f0\u5c06\u5f15\u5165 RDMA \u5168\u4e92\u8054\u3001\u7b97\u529b\u5e76\u7f51\u4ea4\u6613\u3001Serverless AI \u7b49\u80fd\u529b\uff0c\u4e3a AIGC\u3001\u81ea\u52a8\u9a7e\u9a76\u3001\u751f\u7269\u533b\u836f\u3001\u5de5\u4e1a\u4eff\u771f\u7b49\u573a\u666f\u63d0\u4f9b\u666e\u60e0\u7b97\u529b\u3002
\n\u5bf9\u4e8e AI \u5e94\u7528\u5f00\u53d1\u8005\uff0c\u661f\u5b87\u667a\u7b97\u6b63\u5f0f\u63a8\u51fa\u201c\u661f\u8fb0\u8ba1\u5212\u201d\uff1a\u53ea\u8981\u4f60\u7684\u9879\u76ee\u91c7\u7528\u56fd\u4ea7\u82af\u7247\uff0c\u5373\u53ef\u7533\u8bf7\u6700\u957f 6 \u4e2a\u6708\u514d\u8d39\u7b97\u529b\uff1b\u4f18\u79c0\u56e2\u961f\u5c06\u83b7\u5f97\u5e73\u53f0\u6d41\u91cf\u6276\u6301\u3001\u8d44\u672c\u5bf9\u63a5\u53ca\u5546\u4e1a\u5206\u6210\u673a\u4f1a\u3002\u6211\u4eec\u6df1\u77e5\uff0c\u53ea\u6709\u8ba9\u521b\u4f5c\u8005\u201c\u96f6\u95e8\u69db\u201d\u521b\u65b0\uff0c\u624d\u80fd\u771f\u6b63\u8dd1\u51fa\u81ea\u5df1\u7684 AI \u539f\u751f\u5e94\u7528\u3002<\/p>\n

\u5199\u5728\u6700\u540e<\/h2>\n

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