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\"1.75\u7f8e\u5143\/\u5c0f\u65f6\u7684\u5206\u5e03\u5f0fGPU\u80fd\u4fe1\u5417\uff1f\u53bb\u4e2d\u5fc3\u5316\u5e02\u573aVS\u661f\u5b87\u667a\u7b97\u4e2d\u5fc3\u5316GPU\u4e91\u4e3b\u673a\u5b89\u5168\u5bf9\u6bd4\"<\/figure>\n
\n

\u201cRender Network\u3001Akash \u628a\u5168\u7403\u95f2\u7f6e GPU \u805a\u5408\u6210\u6c60\uff0c\u6700\u4f4e 1.75 \u7f8e\u5143\/\u5c0f\u65f6\u5c31\u80fd\u8dd1 A100\uff01\u201d\u8fc7\u53bb\u4e24\u5468\uff0c\u8fd9\u6761\u65b0\u95fb\u5728 Reddit\u3001X\uff08\u539f Twitter\uff09\u5237\u4e86\u5c4f\u3002\u6392\u961f\u65f6\u95f4\u4ece\u51e0\u5929\u7f29\u5230\u51e0\u5c0f\u65f6\uff0c\u4f3c\u4e4e\u201c\u4eba\u4eba\u7528\u5f97\u8d77\u5927\u6a21\u578b\u201d\u7684\u65f6\u4ee3\u5df2\u7ecf\u964d\u4e34\u3002\u7136\u800c\uff0c\u771f\u6b63\u8981\u628a 70B \u53c2\u6570\u7684 Llama-3 \u8bad\u7ec3\u5230\u6536\u655b\uff0c\u6216\u8005\u628a\u6587\u751f\u56fe\u6a21\u578b\u63a8\u5230 10 \u4e07 QPS \u7684\u7ebf\u4e0a\u63a8\u7406\uff0c1.75 \u7f8e\u5143\u80cc\u540e\u9690\u85cf\u7684\u9690\u6027\u8d26\u5355\uff0c\u53ef\u80fd\u6bd4\u5b98\u65b9\u62a5\u4ef7\u9ad8\u5f97\u591a\u3002\u672c\u6587\u628a\u53bb\u4e2d\u5fc3\u5316 GPU \u5e02\u573a\u4e0e\u661f\u5b87\u667a\u7b97<\/strong>\u4e2d\u5fc3\u5316\u7684 GPU\u4e91\u4e3b\u673a<\/a> \u505a\u4e00\u6b21\u9010\u9879\u5bf9\u6bd4\uff0c\u5e2e\u4f60\u5728\u201c\u4fbf\u5b9c\u5c1d\u9c9c\u201d\u4e0e\u201c\u5b89\u5fc3\u751f\u4ea7\u201d\u4e4b\u95f4\u505a\u51fa\u9009\u62e9\u3002<\/p>\n<\/blockquote>\n

1. \u70ed\u70b9\uff1a\u6392\u961f\u5c11\u4e86\uff0c\u4f46\u8282\u70b9\u968f\u65f6\u201c\u6d88\u5931\u201d<\/h2>\n

\u53bb\u4e2d\u5fc3\u5316\u5e73\u53f0\u7528\u533a\u5757\u94fe\u64ae\u5408\u5168\u7403\u6563\u6237\u663e\u5361\uff0c\u4f9b\u7ed9\u5f39\u6027\u786e\u5b9e\u60ca\u4eba\u3002\u53ef\u5b9e\u6d4b\u53d1\u73b0\uff0c\u5355\u4efb\u52a1\u8fd0\u884c 8 \u5c0f\u65f6\u540e\uff0c\u8282\u70b9\u6389\u7ebf\u7387 6%\u201412%\uff0c\u65e0 SLA\u3001\u65e0\u8d54\u507f\uff0c\u65ad\u70b9\u53ea\u80fd\u624b\u52a8\u91cd\u8dd1\u3002\u66f4\u5c34\u5c2c\u7684\u662f\u6570\u636e\u5408\u89c4\uff1a\u6b27\u76df\u4f01\u4e1a\u628a\u5fae\u8c03\u6570\u636e\u4f20\u5230\u533f\u540d\u8282\u70b9\uff0c\u4e00\u65e6\u51fa\u5883\u5c31\u89e6\u78b0 GDPR\uff1b\u56fd\u5185\u5927\u6a21\u578b\u5382\u5546\u82e5\u628a\u8bed\u6599\u843d\u5230\u6d77\u5916 IP\uff0c\u76f4\u63a5\u89e6\u53d1\u300a\u751f\u6210\u5f0f AI \u5907\u6848\u529e\u6cd5\u300b\u7ea2\u7ebf\u3002\u5546\u7528\u573a\u666f\u4e0b\uff0c\u8fd9\u4e9b\u98ce\u9669\u6210\u672c\u5f80\u5f80\u9ad8\u4e8e\u62a5\u4ef7\u672c\u8eab\u3002<\/p>\n

2. \u4e2d\u5fc3\u5316\u4e91\u624d\u662f\u751f\u4ea7\u7ea7\u7b54\u6848\uff1f\u5148\u770b\u661f\u5b87\u667a\u7b97\u7684\u56db\u5f20\u5e95\u724c<\/h2>\n

\u2460 T3+ \u673a\u623f<\/strong>\uff1a\u53cc\u8def\u5e02\u7535 + 2N UPS + \u67f4\u6cb9 N+1\uff0c\u5168\u5e74\u7535\u529b\u53ef\u7528\u6027 99.982%\uff0c\u6bd4\u5bb6\u7528\u8282\u70b9\u9ad8\u51fa\u4e24\u4e2a\u6570\u91cf\u7ea7\u3002
\n\u2461 24h \u8fd0\u7ef4<\/strong>\uff1a\u661f\u5b87\u667a\u7b97\u81ea\u5efa IDC \u9a7b\u573a+\u8fdc\u7a0b\u4e8c\u7ebf\uff0c\u5e73\u5747 5 \u5206\u949f\u54cd\u5e94\u300130 \u5206\u949f\u5230\u573a\uff0c\u771f\u6b63\u505a\u5230\u201cGPU \u670d\u52a1\u5668\u79df\u7528\u201d\u7ea7\u522b\u7684\u73b0\u573a\u4fdd\u969c\u3002
\n\u2462 SSD \u7aef\u5230\u7aef\u52a0\u5bc6<\/strong>\uff1a\u6570\u636e\u843d\u76d8\u5373 AES-256 \u52a0\u5bc6\uff0c\u5bc6\u94a5\u6258\u7ba1\u5728\u72ec\u7acb KMS\uff1b\u4f20\u8f93\u8d70 TLS1.3\uff0c\u7ed3\u5408\u5e73\u53f0\u7ea7\u4e91\u786c\u76d8<\/a>\u4e0e\u4e91\u5b58\u50a8<\/a>\uff0c\u5b9e\u73b0\u201c\u8ba1\u7b97\u4e0d\u505c\u3001\u5bc6\u94a5\u4e0d\u6cc4\u201d\u3002
\n\u2463 ISO27001 \u8ba4\u8bc1<\/strong>\uff1a\u4ece\u7269\u7406\u5b89\u9632\u5230\u4ee3\u7801\u4ed3\u5e93\uff0c\u5168\u90e8\u901a\u8fc7\u7b2c\u4e09\u65b9\u5e74\u5ba1\uff0c\u53ef\u76f4\u63a5\u5199\u5165\u4f01\u4e1a\u4e0a\u5e02\u5ba1\u8ba1\u5e95\u7a3f\u3002 <\/p>\n

3. \u6027\u80fd\u5b9e\u6d4b\uff1aNVLink 32 Gbps \u78be\u538b\u516c\u7f51 50 ms \u5ef6\u8fdf<\/h2>\n

\u5728\u5927\u6a21\u578b\u8bad\u7ec3\u4e2d\uff0c\u68af\u5ea6 All-Reduce \u5bf9\u5e26\u5bbd\u6781\u5ea6\u654f\u611f\u3002\u661f\u5b87\u667a\u7b97\u540c\u4e00 VPC \u5185\u7684 8\u00d7A100 \u901a\u8fc7 NVSwitch \u5b9e\u73b0 32 Gbps P2P\uff0c\u541e\u5410\u8fbe\u5230 235 GB\/s\uff1b\u800c\u53bb\u4e2d\u5fc3\u5316\u8282\u70b9\u6563\u843d\u5728\u4e94\u5927\u6d32\uff0c\u516c\u7f51\u5ef6\u8fdf 50\u2014180 ms\uff0c\u5e26\u5bbd 1\u20145 Gbps\uff0c\u540c\u6837\u8dd1 DeepSpeed ZeRO-3\uff0c\u8fed\u4ee3\u65f6\u95f4\u88ab\u62c9\u9ad8 2.7 \u500d\u3002\u5bf9\u4e8e\u9700\u8981 10 \u4e07\u6b21\u5b9e\u9a8c\u7684\u79d1\u7814\u56e2\u961f\uff0c\u4e2d\u5fc3\u5316 AI\u5e94\u7528<\/a> \u73af\u5883\u610f\u5473\u7740\u8bba\u6587\u63d0\u4ea4\u8282\u70b9\u4e0d\u518d\u201c\u8d76 DDL\u201d\u3002<\/p>\n

4. \u9690\u6027\u6210\u672c\uff1a\u91cd\u8dd1\u3001\u6570\u636e\u6062\u590d\u3001\u5408\u89c4\u7f5a\u6b3e\uff0c\u53bb\u4e2d\u5fc3\u5316\u8d35 30%<\/h2>\n

\u6211\u4eec\u7b97\u4e86\u4e00\u7b14\u7ec6\u8d26\uff1a\u4e00\u6b21 7 \u5929\u3001128 \u5361\u5e76\u884c\u8bad\u7ec3\u4efb\u52a1\uff0c\u53bb\u4e2d\u5fc3\u5316\u62a5\u4ef7 1.75 \u7f8e\u5143\/\u5361\/\u65f6\uff0c\u8868\u9762\u6210\u672c\u7ea6 38 000 \u7f8e\u5143\u3002\u4f46\u4e2d\u9014 8% \u8282\u70b9\u6389\u7ebf\u30012 \u6b21\u5168\u7f51\u6296\u52a8\uff0c\u5bfc\u81f4 22 \u5c0f\u65f6\u91cd\u8dd1 + 14 \u5c0f\u65f6\u6570\u636e\u6821\u9a8c\uff0c\u53e0\u52a0\u4eba\u529b\u3001\u5ef6\u8bef\u3001\u5408\u89c4\u54a8\u8be2\uff0c\u5b9e\u9645\u652f\u51fa\u5347\u81f3 49 400 \u7f8e\u5143\u3002\u661f\u5b87\u667a\u7b97 GPU\u670d\u52a1\u5668\u79df\u7528<\/a> \u6807\u4ef7 2.25 \u7f8e\u5143\/\u5361\/\u65f6\uff0c\u5374\u56e0 99.9% \u53ef\u7528\u7387\u4e0e\u514d\u8d39\u5feb\u7167\uff0c\u6700\u7ec8\u603b\u6210\u672c 48 600 \u7f8e\u5143\uff0c\u53cd\u800c\u66f4\u4f4e\u3002<\/p>\n

5. \u5b9e\u9a8c\u53ef\u73a9\uff0c\u751f\u4ea7\u8bf7\u56de\u201c\u4e2d\u5fc3\u201d<\/h2>\n

\u5982\u679c\u4f60\u53ea\u662f\u5468\u672b\u8dd1 Stable Diffusion \u51fa 100 \u5f20\u56fe\uff0c\u53bb\u4e2d\u5fc3\u5316\u4f4e\u4ef7\u786e\u5b9e\u9999\uff1b\u4f46\u4e00\u65e6\u8fdb\u5165\u5546\u4e1a\u8bad\u7ec3\u6216\u7ebf\u4e0a\u63a8\u7406\uff0cSLA\u3001\u6570\u636e\u4e3b\u6743\u3001\u8282\u70b9\u53ef\u8ffd\u6eaf\u5c31\u6210\u4e86\u786c\u95e8\u69db\u3002\u661f\u5b87\u667a\u7b97\u63d0\u4f9b\u4e00\u5c0f\u65f6\u8d77\u79df\u3001\u6309\u79d2\u8ba1\u8d39\u7684GPU\u4e91\u4e3b\u673a<\/a>\uff0c\u5e76\u9884\u88c5 200+ \u516c\u5171\u6a21\u578b\u4e0e\u6570\u636e\u96c6\uff0c\u5f00\u673a\u5373\u53ef\u8c03\u7528 PyTorch\u3001Transformers\u3001DeepSpeed \u7b49\u4e3b\u6d41\u6808\uff0c\u771f\u6b63\u505a\u5230\u201c\u4e00\u952e\u5373\u73a9\u201d\u3002\u65b0\u7528\u6237\u6ce8\u518c\u5373\u9001 10 \u5143\u4f53\u9a8c\u91d1<\/strong>\uff0c\u53ef\u5148\u8dd1\u901a 6\u00d7RTX 4090 24G \u5b9e\u4f8b\uff0c\u9a8c\u8bc1\u6027\u80fd\u540e\u518d\u5f39\u6027\u6269\u5bb9\u5230 8\u00d7A100 80G\uff0c\u65e0\u9700\u62bc\u91d1\u4e0e\u957f\u671f\u5408\u7ea6\u3002<\/p>\n

6. \u7ed3\u8bed\uff1a\u4ef7\u683c\u91cd\u8981\uff0c\u4f46\u201c\u4e0d\u7ffb\u8f66\u201d\u66f4\u91cd\u8981<\/h2>\n

\u53bb\u4e2d\u5fc3\u5316 GPU \u5e02\u573a\u50cf\u4e00\u573a\u5168\u7403\u8df3\u86a4\u5e02\u573a\uff0c\u80fd\u6dd8\u5230\u4fbf\u5b9c\u8d27\uff0c\u4e5f\u80fd\u8e29\u5230\u5730\u96f7\uff1b\u800c\u661f\u5b87\u667a\u7b97\u66f4\u50cf 7\u00d724 \u8425\u4e1a\u7684\u7cbe\u54c1\u8d85\u5e02\uff0c\u628a\u7535\u529b\u3001\u5e26\u5bbd\u3001\u5408\u89c4\u3001\u8fd0\u7ef4\u5168\u90e8\u6253\u5305\uff0c\u4ef7\u683c\u900f\u660e\u3001\u8d26\u5355\u53ef\u9884\u6d4b\u3002\u5f53\u6a21\u578b\u53c2\u6570\u4ece\u5341\u4ebf\u8d70\u5411\u5343\u4ebf\uff0c\u5f53\u63a8\u7406\u6d41\u91cf\u4ece\u767e\u6b21\u8d70\u5411\u767e\u4e07\u6b21\uff0c\u9009\u62e9\u4e00\u5f20\u201c\u4e0d\u5835\u8f66\u3001\u4e0d\u7ffb\u8f66\u201d\u7684\u7b97\u529b\u9ad8\u901f\u516c\u8def\uff0c\u6216\u8bb8\u624d\u662f\u8ba9 AI \u5546\u4e1a\u95ed\u73af\u771f\u6b63\u843d\u5730\u7684\u5173\u952e\u4e00\u6b65\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

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