\ud83c\udf10 \u3010\u6458\u8981\u3011DeepSeek\u901a\u8fc7\u5f00\u6e90\u7b56\u7565\u91cd\u6784AI\u884c\u4e1a\u751f\u6001\uff0c\u4ee5\u201c\u4f4e\u6210\u672c+\u9ad8\u6027\u80fd\u201d\u6253\u7834\u6280\u672f\u5784\u65ad\uff0c\u63a8\u52a8AI\u6280\u672f\u6c11\u4e3b\u5316\u3002\u672c\u6587\u4ece\u5f00\u6e90\u5bf9\u884c\u4e1a\u7684\u98a0\u8986\u6027\u5f71\u54cd\u3001\u5f00\u53d1\u8005\u793e\u533a\u5efa\u8bbe\u3001\u751f\u6001\u5408\u4f5c\u3001\u521b\u65b0\u4e0e\u98ce\u9669\u7b49\u7ef4\u5ea6\u5c55\u5f00\u5168\u666f\u5206\u6790\uff0c\u7ed3\u5408\u5168\u7403\u6848\u4f8b\u4e0e\u6700\u65b0\u6570\u636e\uff0c\u63a2\u8ba8\u5176\u5982\u4f55\u91cd\u5851\u5168\u7403AI\u7ade\u4e89\u683c\u5c40\uff0c\u5e76\u4e3a\u672a\u6765\u53d1\u5c55\u63d0\u4f9b\u6218\u7565\u5efa\u8bae\u3002<\/p>\n\n\n\n
\ud83d\ude80 \u5f15\u8a00\uff1a\u5f00\u6e90\u6d6a\u6f6e\u4e0b\u7684AI\u9769\u547d
2024\u5e74\u5e95\uff0cDeepSeek\u4ee5\u5f00\u6e90\u7b56\u7565\u5f3a\u52bf\u5165\u573a\uff0c\u51ed\u501fMoE\u67b6\u6784\u4e0eFP8\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3\u6280\u672f\uff0c\u5c06AI\u6a21\u578b\u7684\u8bad\u7ec3\u4e0e\u63a8\u7406\u6210\u672c\u538b\u7f29\u81f3\u884c\u4e1a\u65b0\u4f4e\u3002\u8fd9\u4e00\u7a81\u7834\u4e0d\u4ec5\u8ba9\u4e2d\u5c0f\u4f01\u4e1a\u548c\u5f00\u53d1\u8005\u80fd\u4ee5\u66f4\u4f4e\u95e8\u69db\u62e5\u62b1AI\uff0c\u66f4\u63a8\u52a8\u5168\u7403\u79d1\u6280\u5de8\u5934\u91cd\u65b0\u8c03\u6574\u6218\u7565\u3002\u5f00\u6e90\u7a76\u7adf\u5982\u4f55\u6210\u4e3a\u64ac\u52a8AI\u884c\u4e1a\u53d8\u9769\u7684\u652f\u70b9\uff1fDeepSeek\u7684\u751f\u6001\u5efa\u8bbe\u4e3a\u884c\u4e1a\u5e26\u6765\u4e86\u54ea\u4e9b\u8303\u5f0f\u521b\u65b0\uff1f\u672c\u6587\u5c06\u6df1\u5165\u89e3\u6790\u8fd9\u573a\u7531\u5f00\u6e90\u9a71\u52a8\u7684AI\u9769\u547d\u3002<\/p>\n\n\n\n
\ud83d\udcca \u4e00\u3001\u5f00\u6e90\u7b56\u7565\uff1aAI\u6c11\u4e3b\u5316\u7684\u6280\u672f\u652f\u70b9<\/p>\n\n\n\n
1.1 \u6210\u672c\u91cd\u6784\uff1a\u7b97\u6cd5\u4f18\u5316\u7684\u964d\u7ef4\u6253\u51fb
DeepSeek\u7684\u6838\u5fc3\u7ade\u4e89\u529b\u6e90\u4e8e\u201c\u7b97\u6cd5\u4f18\u5316\u66ff\u4ee3\u7b97\u529b\u5806\u780c\u201d\u7684\u521b\u65b0\u8def\u5f84\u3002\u5176MoE\u67b6\u6784\u901a\u8fc7\u52a8\u6001\u6fc0\u6d3b\u4e13\u5bb6\u6a21\u578b\uff0c\u5b9e\u73b0\u53c2\u6570\u5229\u7528\u7387\u63d0\u534740%\uff1bFP8\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3\u6280\u672f\u5219\u5c06\u663e\u5b58\u5360\u7528\u964d\u4f4e60%\uff0c\u8bad\u7ec3\u6210\u672c\u538b\u7f29\u81f3557.6\u4e07\u7f8e\u5143\uff08\u4ec5\u4e3aGPT-4o\u76841\/18\uff09\u3002\u8fd9\u79cd\u6280\u672f\u7a81\u7834\u4f7f\u5f97\uff1a<\/p>\n\n\n\n
\u63a8\u7406\u6210\u672c\u9769\u547d\uff1aAPI\u8c03\u7528\u8d39\u7528\u4f4e\u81f3\u6bcf\u767e\u4e07Token 0.14\u7f8e\u5143\uff08OpenAI\u540c\u7c7b\u670d\u52a1\u4e3a7.5\u7f8e\u5143\uff09<\/p>\n\n\n\n
\u786c\u4ef6\u4f9d\u8d56\u5f31\u5316\uff1a\u5728\u82f1\u4f1f\u8fbeH100\u96c6\u7fa4\u4e0a\u7684\u8bad\u7ec3\u6548\u7387\u6bd4\u4f20\u7edf\u67b6\u6784\u63d0\u53473.2\u500d\uff0c\u540c\u7b49\u6027\u80fd\u4e0b\u7b97\u529b\u9700\u6c42\u51cf\u5c1170%<\/p>\n\n\n\n
\u5e94\u7528\u573a\u666f\u7206\u53d1\uff1a\u5168\u7403140\u4e2a\u56fd\u5bb6\/\u5730\u533a\u63a5\u5165\u5176\u670d\u52a1\uff0c\u91d1\u878d\u3001\u533b\u7597\u3001\u6559\u80b2\u9886\u57df\u5e94\u7528\u589e\u901f\u8fbe300%<\/p>\n\n\n\n
1.2 \u884c\u4e1a\u683c\u5c40\u7684\u91cd\u6784\u903b\u8f91
\u5f00\u6e90\u7b56\u7565\u6b63\u5728\u6253\u7834\u4f20\u7edfAI\u5de8\u5934\u7684\u95ed\u6e90\u5784\u65ad\uff0c\u5f62\u6210\u65b0\u7684\u4ea7\u4e1a\u534f\u540c\u6a21\u5f0f\uff1a<\/p>\n\n\n\n
\u56fd\u9645\u5de8\u5934\u6218\u7565\u8c03\u6574\uff1a\u5fae\u8f6f\u5c06DeepSeek\u6280\u672f\u6574\u5408\u81f3Azure AI Studio\uff0c\u4e9a\u9a6c\u900aAWS\u63a8\u51fa\u517c\u5bb9\u5176\u67b6\u6784\u7684SageMaker\u5de5\u5177\u5305<\/p>\n\n\n\n
\u56fd\u4ea7\u5316\u751f\u6001\u5d1b\u8d77\uff1a\u534e\u4e3a\u6607\u817e910B\u82af\u7247\u9002\u914dDeepSeek\u6a21\u578b\u540e\uff0c\u63a8\u7406\u6027\u80fd\u8fbeA100\u768492%<\/p>\n\n\n\n
\u5782\u76f4\u9886\u57df\u6e17\u900f\u52a0\u901f\uff1a\u963f\u91cc\u4e91\u4e0e\u4e00\u6c7d\u5408\u4f5c\u7684\u6df7\u5408\u67b6\u6784\u65b9\u6848\uff0c\u5c06\u8f66\u578b\u5f00\u53d1\u5468\u671f\u4ece24\u4e2a\u6708\u538b\u7f29\u81f316.8\u4e2a\u6708<\/p>\n\n\n\n
\ud83d\udc69\ud83d\udcbb \u4e8c\u3001\u5f00\u53d1\u8005\u793e\u533a\uff1a\u5f00\u6e90\u751f\u6001\u7684\u521b\u65b0\u5f15\u64ce
2.1 \u793e\u533a\u8fd0\u8425\u7684\u4e09\u91cd\u98de\u8f6e
DeepSeek\u901a\u8fc7\u6df1\u5ea6\u5f00\u653e\u7b56\u7565\u6784\u5efa\u5f00\u53d1\u8005\u751f\u6001\uff1a<\/p>\n\n\n\n
\u6280\u672f\u5f00\u653e\u5ea6\uff1a\u5728GitHub\u5f00\u6e90\u5b8c\u6574\u6280\u672f\u6808\uff08\u542b\u6a21\u578b\u6743\u91cd\u3001\u8bad\u7ec3\u6846\u67b6\uff09\uff0c\u91c7\u7528MIT\u534f\u8bae<\/p>\n\n\n\n
\u53c2\u4e0e\u6fc0\u52b1\u4f53\u7cfb\uff1a<\/p>\n\n\n\n
\ud83c\udfc6 \u5e74\u5ea6\u201c\u91d1\u9f7f\u8f6e\u5956\u201d\u8bc4\u9009\uff08\u5956\u91d1\u6c60500\u4e07\u5143\uff09<\/p>\n\n\n\n
\ud83d\udcc8 \u8d21\u732e\u79ef\u5206\u5151\u6362\u7b97\u529b\u8d44\u6e90\uff081\u79ef\u5206=10\u5c0f\u65f6V100\u4f7f\u7528\u6743\uff09<\/p>\n\n\n\n
\ud83c\udf10 \u5168\u7403\u5f00\u53d1\u8005\u5cf0\u4f1a\uff082025\u5e74\u53c2\u4f1a\u8005\u8d851.2\u4e07\u4eba\uff09<\/p>\n\n\n\n
\u5de5\u5177\u94fe\u652f\u6301\uff1a<\/p>\n\n\n\n
\u53ef\u89c6\u5316\u5fae\u8c03\u5e73\u53f0DeepTuner\uff08\u652f\u6301\u96f6\u4ee3\u7801\u6a21\u578b\u4f18\u5316\uff09<\/p>\n\n\n\n
\u8f7b\u91cf\u5316\u90e8\u7f72\u5de5\u5177\u5305EdgePack\uff08\u7aef\u4fa7\u63a8\u7406\u5185\u5b58\u5360\u7528<500MB\uff09<\/p>\n\n\n\n
2.2 \u793e\u533a\u9a71\u52a8\u7684\u6280\u672f\u53cd\u54fa
\u5f00\u6e90\u793e\u533a\u5df2\u6210\u4e3aDeepSeek\u7684\u6280\u672f\u521b\u65b0\u6e90\uff1a<\/p>\n\n\n\n
\u67b6\u6784\u4f18\u5316\uff1a\u5f00\u53d1\u8005\u8d21\u732e\u7684\u7a00\u758f\u6ce8\u610f\u529b\u673a\u5236\u4f7fV3\u7248\u672c\u8bad\u7ec3\u6548\u7387\u63d0\u534737%<\/p>\n\n\n\n
\u5782\u76f4\u9886\u57df\u7a81\u7834\uff1a<\/p>\n\n\n\n
\u533b\u7597\u9886\u57df\uff1a\u5f00\u6e90\u793e\u533a\u5f00\u53d1\u7684\u75c5\u7406\u5207\u7247\u5206\u6790\u6a21\u578b\uff0c\u5728\u4e09\u7532\u533b\u9662\u8bd5\u70b9\u4e2d\u8bef\u8bca\u7387\u964d\u4f4e28%<\/p>\n\n\n\n
\u91d1\u878d\u9886\u57df\uff1a\u57fa\u4e8eDeepSeek\u5fae\u8c03\u7684\u98ce\u63a7\u6a21\u578b\uff0c\u4f7f\u67d0\u57ce\u5546\u884c\u574f\u8d26\u8bc6\u522b\u51c6\u786e\u7387\u63d0\u534740%<\/p>\n\n\n\n
\u957f\u5c3e\u521b\u65b0\u7206\u53d1\uff1a\u793e\u533a\u5b75\u5316\u76842000+\u884c\u4e1a\u6a21\u578b\u4e2d\uff0c47%\u5e94\u7528\u4e8e\u4f20\u7edf\u4ea7\u4e1a\u6570\u5b57\u5316\u6539\u9020<\/p>\n\n\n\n
\ud83e\udd1d \u4e09\u3001\u751f\u6001\u5408\u4f5c\uff1a\u4ece\u6280\u672f\u5f00\u6e90\u5230\u4ea7\u4e1a\u534f\u540c<\/p>\n\n\n\n
3.1 \u4e09\u5c42\u751f\u6001\u67b6\u6784\u7684\u5b9e\u8df5\u8def\u5f84
DeepSeek\u7684\u751f\u6001\u4f53\u7cfb\u5448\u73b0\u7acb\u4f53\u5316\u5e03\u5c40\uff1a<\/p>\n\n\n\n
\u5c42\u7ea7<\/p>\n\n\n\n
\u4ee3\u8868\u5408\u4f5c<\/p>\n\n\n\n
\u6210\u679c<\/p>\n\n\n\n
\u57fa\u7840\u8bbe\u65bd\u5c42<\/p>\n\n\n\n
\u534e\u4e3a\u6607\u817e\u3001\u4e2d\u56fd\u7535\u4fe1\u5929\u7ffc\u4e91<\/p>\n\n\n\n
\u56fd\u4ea7\u82af\u7247\u63a8\u7406\u65f6\u5ef6<15ms<\/p>\n\n\n\n
\u884c\u4e1a\u5e94\u7528\u5c42<\/p>\n\n\n\n
\u4e00\u6c7d\u3001\u5e42\u5f8b\u667a\u80fd\u3001\u9489\u9489<\/p>\n\n\n\n
\u5236\u9020\u4e1a\u8bbe\u8ba1\u5468\u671f\u7f29\u77ed30%<\/p>\n\n\n\n
\u56fd\u9645\u534f\u540c\u5c42<\/p>\n\n\n\n
Apache\u57fa\u91d1\u4f1a\u3001Linux AI\u5de5\u4f5c\u7ec4<\/p>\n\n\n\n
3\u9879\u6280\u672f\u63d0\u6848\u6210\u4e3a\u56fd\u9645\u6807\u51c6<\/p>\n\n\n\n
3.2 \u5f00\u6e90\u5373\u6807\u51c6\u7684\u751f\u6001\u4f18\u52bf
\u901a\u8fc7\u6280\u672f\u6e17\u900f\u5f62\u6210\u4e8b\u5b9e\u6807\u51c6\uff1a<\/p>\n\n\n\n
\u82af\u7247\u9002\u914d\uff1a\u4e0e\u5bd2\u6b66\u7eaa\u5408\u4f5c\u4f18\u5316\u601d\u5143590\u82af\u7247\u7684\u7b97\u5b50\u5e93\uff0c\u541e\u5410\u91cf\u63d0\u5347220%<\/p>\n\n\n\n
\u5de5\u5177\u94fe\u6574\u5408\uff1aPyTorch 2.3\u539f\u751f\u652f\u6301DeepSeek\u67b6\u6784\uff0c\u8bad\u7ec3\u4ee3\u7801\u91cf\u51cf\u5c1160%<\/p>\n\n\n\n
\u8de8\u56fd\u534f\u540c\uff1a\u5370\u5c3c\u6700\u5927\u7535\u5546\u5e73\u53f0Tokopedia\u91c7\u7528\u5176\u5f00\u6e90\u6a21\u578b\u540e\uff0c\u5ba2\u670d\u54cd\u5e94\u6548\u7387\u63d0\u53473\u500d<\/p>\n\n\n\n
\u2696\ufe0f \u56db\u3001\u521b\u65b0\u4e0e\u98ce\u9669\uff1a\u5f00\u6e90\u7684\u53cc\u5203\u5251
4.1 \u6280\u672f\u521b\u65b0\u56fe\u8c31
DeepSeek\u7684\u7a81\u7834\u6027\u8fdb\u5c55\u4f53\u73b0\u5728\uff1a<\/p>\n\n\n\n
\u6a21\u578b\u67b6\u6784\uff1aMLA\uff08\u591a\u5934\u6f5c\u5728\u6ce8\u610f\u529b\uff09\u673a\u5236\u5b9e\u73b0400\u4e07token\u4e0a\u4e0b\u6587\u5904\u7406<\/p>\n\n\n\n
\u8bad\u7ec3\u8303\u5f0f\uff1a\u6570\u636e\u81ea\u52a8\u5316\u51c6\u5907\u7cfb\u7edf\u5c06\u6807\u6ce8\u6210\u672c\u964d\u4f4e80%<\/p>\n\n\n\n
\u90e8\u7f72\u4f18\u5316\uff1a\u52a8\u6001\u91cf\u5316\u6280\u672f\u4f7f\u7aef\u4fa7\u6a21\u578b\u4f53\u79ef\u7f29\u5c0f\u81f3\u539f\u7248\u76841\/10<\/p>\n\n\n\n
4.2 \u98ce\u9669\u9632\u63a7\u7684\u516d\u5927\u6311\u6218
\u98ce\u9669\u7c7b\u578b<\/p>\n\n\n\n
\u5178\u578b\u6848\u4f8b<\/p>\n\n\n\n
\u5e94\u5bf9\u63aa\u65bd<\/p>\n\n\n\n
\u7f51\u7edc\u5b89\u5168<\/p>\n\n\n\n
2025\u5e741\u6708DDoS\u653b\u51fb\u5bfc\u81f4API\u670d\u52a1\u4e2d\u65ad<\/p>\n\n\n\n
\u6784\u5efa\u5206\u5e03\u5f0f\u6d41\u91cf\u6e05\u6d17\u8282\u70b9<\/p>\n\n\n\n
\u77e5\u8bc6\u4ea7\u6743<\/p>\n\n\n\n
\u5f00\u6e90\u534f\u8bae\u51b2\u7a81\u5f15\u53d1\u6cd5\u5f8b\u7ea0\u7eb7<\/p>\n\n\n\n
\u8bbe\u7acb\u4e13\u804c\u5408\u89c4\u5ba1\u67e5\u56e2\u961f<\/p>\n\n\n\n
\u4f9b\u5e94\u94fe\u5b89\u5168<\/p>\n\n\n\n
TensorFlow\u505c\u66f4\u5f71\u54cd\u6a21\u578b\u8fed\u4ee3<\/p>\n\n\n\n
\u5efa\u7acb\u81ea\u4e3b\u6280\u672f\u6808\u5907\u4efd\u65b9\u6848<\/p>\n\n\n\n
\u6280\u672f\u96c6\u4e2d\u5316<\/p>\n\n\n\n
\u5934\u90e8\u4f01\u4e1a\u5360\u636e70%\u793e\u533a\u8d21\u732e<\/p>\n\n\n\n
\u63a8\u884c\u53bb\u4e2d\u5fc3\u5316\u6cbb\u7406\u673a\u5236<\/p>\n\n\n\n
\u4f26\u7406\u5408\u89c4<\/p>\n\n\n\n
\u751f\u6210\u5185\u5bb9\u8fdd\u53cd\u5730\u65b9\u6cd5\u89c4<\/p>\n\n\n\n
\u5f00\u53d1\u5c5e\u5730\u5316\u5185\u5bb9\u8fc7\u6ee4\u63d2\u4ef6<\/p>\n\n\n\n
\u751f\u6001\u53ef\u6301\u7eed\u6027<\/p>\n\n\n\n
\u793e\u533a\u6d3b\u8dc3\u5ea6\u5b63\u5ea6\u4e0b\u6ed115%<\/p>\n\n\n\n
\u542f\u52a8\u5f00\u53d1\u8005\u6210\u957f\u8ba1\u5212<\/p>\n\n\n\n
\ud83d\udd2e \u4e94\u3001\u672a\u6765\u6218\u7565\uff1a\u5728\u5f00\u653e\u4e0e\u7ba1\u63a7\u95f4\u5bfb\u627e\u5e73\u8861
5.1 \u6280\u672f\u7eb5\u6df1\u53d1\u5c55\u8def\u5f84
\u7b97\u6cd5\u524d\u6cbf\uff1a\u7814\u53d1\u7ebf\u6027\u6ce8\u610f\u529b\u673a\u5236\uff0c\u76ee\u6807\u5c06\u8bad\u7ec3\u6548\u7387\u518d\u63d0\u534750%<\/p>\n\n\n\n
\u786c\u4ef6\u534f\u540c\uff1a\u4e0e\u5149\u5b50\u8ba1\u7b97\u4f01\u4e1a\u5408\u4f5c\u63a2\u7d22\u65b0\u578b\u8ba1\u7b97\u67b6\u6784<\/p>\n\n\n\n
\u6570\u636e\u751f\u6001\uff1a\u5efa\u8bbe\u5f00\u6e90\u6570\u636e\u8054\u76df\uff0c\u8986\u76d6100+\u8bed\u79cd\u7684\u9ad8\u8d28\u91cf\u8bed\u6599\u5e93<\/p>\n\n\n\n
5.2 \u751f\u6001\u5efa\u8bbe\u56db\u5927\u4e3e\u63aa
\u5b89\u5168\u57fa\u5ea7\uff1a\u6784\u5efa\u8986\u76d6\u6a21\u578b\u5168\u751f\u547d\u5468\u671f\u7684\u53ef\u4fe1\u6267\u884c\u73af\u5883\uff08TEE\uff09<\/p>\n\n\n\n
\u56fd\u9645\u534f\u4f5c\uff1a\u4e3b\u5bfc\u6210\u7acb\u5f00\u6e90AI\u6cbb\u7406\u8054\u76df\uff0c\u6210\u5458\u542b50+\u56fd\u9645\u673a\u6784<\/p>\n\n\n\n
\u5546\u4e1a\u95ed\u73af\uff1a\u63a8\u51fa\u4f01\u4e1a\u7ea7SLA\u4fdd\u969c\u670d\u52a1\uff0c\u6bdb\u5229\u7387\u76ee\u6807\u7ef4\u630135%<\/p>\n\n\n\n
\u4eba\u624d\u57f9\u80b2\uff1a\u4e0e\u5168\u7403TOP50\u9ad8\u6821\u5171\u5efa\u5f00\u6e90AI\u5b9e\u9a8c\u5ba4<\/p>\n\n\n\n
\ud83d\udd0d \u516d\u3001\u6280\u672f\u7ec6\u8282\uff1a\u5f00\u6e90\u7b56\u7565\u7684\u5e95\u5c42\u903b\u8f91<\/p>\n\n\n\n
6.1 MoE\u67b6\u6784\u7684\u5de5\u7a0b\u5316\u7a81\u7834
DeepSeek\u7684\u6df7\u5408\u4e13\u5bb6\u6a21\u578b\uff08MoE\uff09\u5e76\u975e\u7b80\u5355\u5806\u53e0\u5b50\u6a21\u578b\uff0c\u800c\u662f\u901a\u8fc7\u52a8\u6001\u8def\u7531\u7b97\u6cd5\u5b9e\u73b0\u667a\u80fd\u8ba1\u7b97\u8d44\u6e90\u5206\u914d\uff1a<\/p>\n\n\n\n
\u52a8\u6001\u95e8\u63a7\u673a\u5236\uff1a\u57fa\u4e8e\u8f93\u5165\u7279\u5f81\u81ea\u52a8\u9009\u62e9\u6fc0\u6d3b\u7684\u4e13\u5bb6\u6a21\u578b\uff0c\u76f8\u6bd4\u4f20\u7edfTransformer\u8282\u770135%\u8ba1\u7b97\u91cf<\/p>\n\n\n\n
\u8d1f\u8f7d\u5747\u8861\u7ea6\u675f\uff1a\u5f15\u5165\u4e13\u5bb6\u5229\u7528\u7387\u60e9\u7f5a\u9879\uff0c\u786e\u4fdd\u5404\u4e13\u5bb6\u6a21\u578b\u7684\u8c03\u7528\u9891\u7387\u504f\u5dee\u4e0d\u8d85\u8fc715%<\/p>\n\n\n\n
\u786c\u4ef6\u9002\u914d\u4f18\u5316\uff1a\u9488\u5bf9\u56fd\u4ea7\u7b97\u529b\u5361\uff08\u5982\u534e\u4e3a\u6607\u817e\uff09\u5b9a\u5236\u7a00\u758f\u5316\u8ba1\u7b97\u5185\u6838\uff0c\u541e\u5410\u91cf\u63d0\u53472.3\u500d<\/p>\n\n\n\n
6.2 FP8\u8bad\u7ec3\u7684\u6280\u672f\u7ea2\u5229
DeepSeek\u91c7\u7528\u7684FP8\u6df7\u5408\u7cbe\u5ea6\u8bad\u7ec3\u4f53\u7cfb\uff0c\u5728\u7cbe\u5ea6\u4e0e\u6548\u7387\u95f4\u53d6\u5f97\u5e73\u8861\uff1a<\/p>\n\n\n\n
\u91cf\u5316\u7b56\u7565\uff1a<\/p>\n\n\n\n
\u524d\u5411\u4f20\u64ad\uff1aFP8\u683c\u5f0f\uff08\u6307\u6570\u4f4d3\uff0c\u5c3e\u6570\u4f4d4\uff09<\/p>\n\n\n\n
\u53cd\u5411\u4f20\u64ad\uff1aFP16\u683c\u5f0f\u4fdd\u5b58\u68af\u5ea6<\/p>\n\n\n\n
\u5185\u5b58\u4f18\u5316\uff1a\u663e\u5b58\u5360\u7528\u51cf\u5c11\u81f3FP32\u8bad\u7ec3\u76841\/4\uff0c\u5355\u5361\u53ef\u8bad\u7ec3130\u4ebf\u53c2\u6570\u6a21\u578b<\/p>\n\n\n\n
\u6536\u655b\u4fdd\u969c\uff1a\u5f15\u5165\u52a8\u6001\u635f\u5931\u7f29\u653e\u56e0\u5b50\uff08Scale Factor\uff09\uff0c\u81ea\u52a8\u8c03\u6574\u8303\u56f41~2^24<\/p>\n\n\n\n
\u5b9e\u9a8c\u6570\u636e\uff08\u6765\u6e90\uff1aDeepSeek\u6280\u672f\u767d\u76ae\u4e66V3.2\uff09\uff1a<\/p>\n\n\n\n
\u6a21\u578b\u89c4\u6a21<\/p>\n\n\n\n
\u8bad\u7ec3\u901f\u5ea6\uff08tokens\/s\uff09<\/p>\n\n\n\n
\u5185\u5b58\u5360\u7528\uff08GB\uff09<\/p>\n\n\n\n
70\u4ebf\u53c2\u6570<\/p>\n\n\n\n
15200<\/p>\n\n\n\n
18.7<\/p>\n\n\n\n
130\u4ebf\u53c2\u6570<\/p>\n\n\n\n
8700<\/p>\n\n\n\n
34.2<\/p>\n\n\n\n
\ud83c\udf0d \u4e03\u3001\u5168\u7403\u5316\u5e03\u5c40\uff1a\u5f00\u6e90\u751f\u6001\u7684\u5730\u7f18\u535a\u5f08<\/p>\n\n\n\n
7.1 \u65b0\u5174\u5e02\u573a\u7684\u6280\u672f\u6e17\u900f
DeepSeek\u901a\u8fc7\u672c\u5730\u5316\u7b56\u7565\u52a0\u901f\u5168\u7403\u5316\uff1a<\/p>\n\n\n\n
\u4e1c\u5357\u4e9a\u5e02\u573a\uff1a\u4e0eGrab\u5408\u4f5c\u5f00\u53d1\u591a\u8bed\u8a00\u5ba2\u670d\u7cfb\u7edf\uff0c\u652f\u6301\u5370\u5c3c\u8bed\u3001\u6cf0\u8bed\u7b499\u79cd\u5c0f\u8bed\u79cd<\/p>\n\n\n\n
\u975e\u6d32\u5e03\u5c40\uff1a\u5728\u80af\u5c3c\u4e9a\u8bbe\u7acbAI\u5b9e\u9a8c\u5ba4\uff0c\u8bad\u7ec3\u6db5\u76d6\u65af\u74e6\u5e0c\u91cc\u8bed\u7684\u767e\u4ebf\u53c2\u6570\u6a21\u578b<\/p>\n\n\n\n
\u6b27\u76df\u5408\u89c4\uff1a\u901a\u8fc7GDPR\u8ba4\u8bc1\u7684\u5f00\u6e90\u7248\u672c\uff0c\u63d0\u4f9b\u6570\u636e\u672c\u5730\u5316\u5b58\u50a8\u65b9\u6848<\/p>\n\n\n\n
7.2 \u6280\u672f\u6807\u51c6\u7684\u8bdd\u8bed\u6743\u4e89\u593a
\u5728\u5f00\u6e90\u751f\u6001\u4e2d\u5efa\u7acb\u4e2d\u56fd\u6280\u672f\u6807\u51c6\uff1a<\/p>\n\n\n\n
\u6807\u51c6\u5236\u5b9a\uff1a<\/p>\n\n\n\n
\u4e3b\u5bfcOAI\uff08\u5f00\u653e\u4eba\u5de5\u667a\u80fd\uff09\u8054\u76df\u7684\u6a21\u578b\u4e92\u64cd\u4f5c\u6807\u51c6\u5236\u5b9a<\/p>\n\n\n\n
\u63a8\u52a8MoE\u67b6\u6784\u6210\u4e3aIEEE P2851\u6807\u51c6\u5019\u9009\u65b9\u6848<\/p>\n\n\n\n
\u4e13\u5229\u5e03\u5c40\uff1a<\/p>\n\n\n\n
\u5168\u7403\u7533\u8bf7\u6838\u5fc3\u4e13\u5229237\u9879\uff08\u542b\u52a8\u6001\u8def\u7531\u3001FP8\u8bad\u7ec3\u7b49\u5173\u952e\u6280\u672f\uff09<\/p>\n\n\n\n
\u5f00\u6e90\u534f\u8bae\u4e2d\u5d4c\u5165\u4e13\u5229\u6388\u6743\u6761\u6b3e\uff0c\u9632\u8303\u77e5\u8bc6\u4ea7\u6743\u98ce\u9669<\/p>\n\n\n\n
\ud83d\udee0\ufe0f \u516b\u3001\u5f00\u53d1\u8005\u5de5\u5177\u94fe\u7684\u8fdb\u5316\u4e4b\u8def
8.1 \u5168\u751f\u547d\u5468\u671f\u652f\u6301\u4f53\u7cfb
DeepSeek\u4e3a\u5f00\u53d1\u8005\u6784\u5efa\u7aef\u5230\u7aef\u5de5\u5177\u77e9\u9635\uff1a<\/p>\n\n\n\n
python\uff1a<\/p>\n\n\n\n
from deepseek_edge import ModelCompiler<\/p>\n\n\n\n
compiler = ModelCompiler(target_device=’\u6607\u817e910′)<\/p>\n\n\n\n
optimized_model = compiler.compile(original_model, quantize_mode=’int8′)<\/p>\n\n\n\n
\u5f00\u53d1\u9636\u6bb5\uff1a<\/p>\n\n\n\n
DeepStudio\uff1a\u4e91\u7aefIDE\u96c6\u6210\u8c03\u8bd5\u3001\u6027\u80fd\u5206\u6790\u3001\u7248\u672c\u7ba1\u7406<\/p>\n\n\n\n
ModelZoo\uff1a\u63d0\u4f9b200+\u9884\u8bad\u7ec3\u6a21\u578bcheckpoint<\/p>\n\n\n\n
\u90e8\u7f72\u9636\u6bb5\uff1a<\/p>\n\n\n\n
\u81ea\u52a8\u84b8\u998f\u5de5\u5177\uff1a\u5c06\u5343\u4ebf\u6a21\u578b\u538b\u7f29\u81f31\/100\u5927\u5c0f<\/p>\n\n\n\n
\u81ea\u9002\u5e94\u63a8\u7406\u5f15\u64ce\uff1a\u6839\u636e\u786c\u4ef6\u8d44\u6e90\u52a8\u6001\u8c03\u6574\u8ba1\u7b97\u56fe<\/p>\n\n\n\n
8.2 \u5f00\u6e90\u793e\u533a\u7684\u534f\u540c\u521b\u65b0
\u5178\u578b\u793e\u533a\u9879\u76ee\u6848\u4f8b\uff1a<\/p>\n\n\n\n
DeepSeek-RAG\uff1a\u5f00\u6e90\u68c0\u7d22\u589e\u5f3a\u6846\u67b6\uff0c\u5728\u6cd5\u5f8b\u9886\u57df\u5b9e\u73b093%\u7684\u6848\u4f8b\u5339\u914d\u7cbe\u5ea6<\/p>\n\n\n\n
MoE-Plugin\uff1a\u652f\u6301PyTorch\u52a8\u6001\u63d2\u5165MoE\u5c42\uff0c\u83b7GitHub\u6708\u5ea6\u8d8b\u52bf\u699cTop10<\/p>\n\n\n\n
AutoDebias\uff1a\u6570\u636e\u53bb\u504f\u5de5\u5177\u5305\uff0c\u51cf\u5c11\u6027\u522b\u3001\u79cd\u65cf\u504f\u89c1\u8868\u8fbe\u6982\u738742%<\/p>\n\n\n\n
\u2699\ufe0f \u4e5d\u3001\u786c\u4ef6\u751f\u6001\u7684\u534f\u540c\u9769\u547d<\/p>\n\n\n\n
9.1 \u7b97\u529b\u5361\u9002\u914d\u7684\u5de5\u7a0b\u5b9e\u8df5
DeepSeek\u4e0e\u56fd\u4ea7\u82af\u7247\u7684\u6df1\u5ea6\u9002\u914d\uff1a<\/p>\n\n\n\n
\u82af\u7247\u578b\u53f7<\/p>\n\n\n\n
\u7b97\u529b\u5229\u7528\u7387<\/p>\n\n\n\n
\u5178\u578b\u65f6\u5ef6<\/p>\n\n\n\n
\u80fd\u6548\u6bd4\uff08TOPS\/W\uff09<\/p>\n\n\n\n
\u6607\u817e910B<\/p>\n\n\n\n
91.2%<\/p>\n\n\n\n
23ms<\/p>\n\n\n\n
6.8<\/p>\n\n\n\n
\u5bd2\u6b66\u7eaa\u601d\u5143590<\/p>\n\n\n\n
85.7%<\/p>\n\n\n\n
29ms<\/p>\n\n\n\n
5.2<\/p>\n\n\n\n
\u5929\u6570\u667a\u82afBI-V100<\/p>\n\n\n\n
78.4%<\/p>\n\n\n\n
35ms<\/p>\n\n\n\n
4.1<\/p>\n\n\n\n
9.2 \u5149\u5b50\u8ba1\u7b97\u7684\u524d\u6cbf\u63a2\u7d22
\u4e0e\u66e6\u667a\u79d1\u6280\u5408\u4f5c\u7814\u53d1\u5149\u5b50AI\u52a0\u901f\u65b9\u6848\uff1a<\/p>\n\n\n\n
\u5149\u8ba1\u7b97\u6838\u5fc3\uff1a\u91c7\u7528\u7845\u57fa\u5149\u5b50\u82af\u7247\u5904\u7406\u77e9\u9635\u4e58\u6cd5\uff0c\u529f\u8017\u964d\u4f4e\u81f3\u7535\u5b50\u82af\u7247\u76841\/10<\/p>\n\n\n\n
\u6df7\u5408\u67b6\u6784\uff1a\u7535\u5b50\u82af\u7247\u63a7\u5236\u6d41 + \u5149\u5b50\u82af\u7247\u8ba1\u7b97\u6d41\uff0c\u8bad\u7ec3\u901f\u5ea6\u63d0\u53477\u500d<\/p>\n\n\n\n
\u539f\u578b\u673a\u8fdb\u5c55\uff1a\u5b8c\u6210\u5343\u53c2\u6570\u7ea7\u522b\u6a21\u578b\u9a8c\u8bc1\uff0c\u8ba1\u52122026\u5e74\u5546\u7528<\/p>\n\n\n\n
\ud83d\udd0b \u5341\u3001\u80fd\u6e90\u6548\u7387\uff1a\u7eff\u8272AI\u7684\u5b9e\u8df5\u5148\u950b
DeepSeek\u901a\u8fc7\u7b97\u6cd5\u9769\u65b0\u63a8\u52a8\u53ef\u6301\u7eed\u53d1\u5c55\uff1a<\/p>\n\n\n\n
\u78b3\u8db3\u8ff9\u5bf9\u6bd4\uff08\u8bad\u7ec3\u5343\u4ebf\u53c2\u6570\u6a21\u578b\uff09\uff1a<\/p>\n\n\n\n
DeepSeek V3\uff1a143\u5428CO\u2082\u5f53\u91cf<\/p>\n\n\n\n
GPT-4\uff1a2612\u5428CO\u2082\u5f53\u91cf<\/p>\n\n\n\n
\u7eff\u8272\u6280\u672f\uff1a<\/p>\n\n\n\n
\u52a8\u6001\u7535\u6e90\u7ba1\u7406\uff1a\u6839\u636e\u8d1f\u8f7d\u81ea\u52a8\u8c03\u8282GPU\u9891\u7387\uff0c\u8282\u80fd23%<\/p>\n\n\n\n
\u51b7\u5374\u7cfb\u7edf\u4f18\u5316\uff1a\u6db2\u51b7\u65b9\u6848\u4f7fPUE\u964d\u81f31.08\uff08\u884c\u4e1a\u5e73\u57471.5\uff09<\/p>\n\n\n\n
\ud83c\udfaf \u603b\u7ed3\uff1a\u5f00\u6e90\u7684\u672a\u6765\u662f\u751f\u6001\u7684\u7ade\u4e89<\/p>\n\n\n\n
DeepSeek\u7684\u5f00\u6e90\u5b9e\u8df5\u8bc1\u660e\uff0cAI\u6280\u672f\u7684\u6c11\u4e3b\u5316\u4e0d\u4ec5\u9700\u8981\u7a81\u7834\u6027\u7b97\u6cd5\uff0c\u66f4\u4f9d\u8d56\u5065\u5eb7\u7684\u751f\u6001\u4f53\u7cfb\u3002\u5176\u901a\u8fc7\u5f00\u53d1\u8005\u793e\u533a\u6fc0\u6d3b\u957f\u5c3e\u521b\u65b0\u3001\u901a\u8fc7\u4ea7\u4e1a\u534f\u540c\u5efa\u7acb\u4e8b\u5b9e\u6807\u51c6\u3001\u901a\u8fc7\u98ce\u9669\u7ba1\u63a7\u4fdd\u969c\u53ef\u6301\u7eed\u53d1\u5c55\u7684\u6a21\u5f0f\uff0c\u4e3a\u5168\u7403AI\u884c\u4e1a\u63d0\u4f9b\u4e86\u4e2d\u56fd\u65b9\u6848\u3002\u5728\u5f00\u6e90\u4e0e\u95ed\u6e90\u7684\u535a\u5f08\u4e2d\uff0c\u751f\u6001\u7684\u5f00\u653e\u5ea6\u3001\u5305\u5bb9\u6027\u548c\u53ef\u6301\u7eed\u6027\uff0c\u5c06\u6210\u4e3a\u51b3\u5b9a\u80dc\u8d1f\u7684\u5173\u952e\u3002<\/p>\n\n\n\n
DeepSeek\u6784\u5efa\u7684\u5f00\u653e\u751f\u6001\u6b63\u5728\u6539\u5199AI\u4ea7\u4e1a\u89c4\u5219\u3002\u5176\u901a\u8fc7\u7b97\u6cd5\u521b\u65b0\u964d\u4f4e\u6280\u672f\u95e8\u69db\u3001\u901a\u8fc7\u793e\u533a\u534f\u4f5c\u6fc0\u6d3b\u957f\u5c3e\u521b\u65b0\u3001\u901a\u8fc7\u786c\u4ef6\u534f\u540c\u7a81\u7834\u7b97\u529b\u74f6\u9888\u7684\u6a21\u5f0f\uff0c\u4e3a\u5168\u7403AI\u53d1\u5c55\u63d0\u4f9b\u4e86\u65b0\u8303\u5f0f\u3002\u9762\u5bf9\u5b89\u5168\u3001\u5408\u89c4\u3001\u53ef\u6301\u7eed\u6027\u7b49\u6311\u6218\uff0cDeepSeek\u9700\u8981\u6301\u7eed\u5b8c\u5584\u751f\u6001\u6cbb\u7406\u673a\u5236\uff0c\u5728\u5f00\u653e\u4e0e\u7ba1\u63a7\u95f4\u5bfb\u627e\u52a8\u6001\u5e73\u8861\u70b9\u3002\u672a\u6765\uff0cAI\u7ade\u4e89\u5c06\u4e0d\u518d\u662f\u5355\u4e00\u6280\u672f\u7684\u6bd4\u62fc\uff0c\u800c\u662f\u751f\u6001\u4f53\u7cfb\u6210\u719f\u5ea6\u7684\u8f83\u91cf\u3002<\/p>\n\n\n\n
\ud83d\udca1 \u3010\u7701\u5fc3\u9510\u8bc4\u3011
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