{"id":36174,"date":"2025-01-07T00:00:22","date_gmt":"2025-01-06T16:00:22","guid":{"rendered":"https:\/\/17aitech.com\/?p=36174"},"modified":"2025-01-07T00:00:22","modified_gmt":"2025-01-06T16:00:22","slug":"%e5%a4%a7%e6%a8%a1%e5%9e%8b%e6%ad%a5%e5%85%a5%e3%80%8c%e6%8e%a8%e7%90%86scaling%e3%80%8d%e6%97%b6%e4%bb%a3%ef%bc%8csambanova%e5%a6%82%e4%bd%95%e6%8c%91%e6%88%98%e8%8b%b1%e4%bc%9f%e8%be%be%e7%9a%84","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=36174","title":{"rendered":"\u5927\u6a21\u578b\u6b65\u5165\u300c\u63a8\u7406Scaling\u300d\u65f6\u4ee3\uff0cSambaNova\u5982\u4f55\u6311\u6218\u82f1\u4f1f\u8fbe\u7684\u9738\u4e3b\u5730\u4f4d\uff1f"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u5927\u6a21\u578b\u6b65\u5165\u300c\u63a8\u7406Scaling\u300d\u65f6\u4ee3\uff0cSambaNova\u5982\u4f55\u6311\u6218\u82f1\u4f1f\u8fbe\u7684\u9738\u4e3b\u5730\u4f4d\uff1f<\/a><\/p>\n

OpenAI o1 \u7684\u53d1\u5e03\uff0c\u518d\u6b21\u7ed9 AI \u9886\u57df\u5e26\u6765\u4e86\u4e00\u573a\u5730\u9707\u3002<\/section>\n
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o1 \u80fd\u50cf\u4eba\u7c7b\u4e00\u6837\u300c\u601d\u8003\u300d\u590d\u6742\u95ee\u9898\uff0c\u62e5\u6709\u4f18\u79c0\u7684\u901a\u7528\u63a8\u7406\u80fd\u529b\u3002\u5728\u672a\u7ecf\u4e13\u95e8\u8bad\u7ec3\u7684\u60c5\u51b5\u4e0b\uff0co1 \u80fd\u591f\u76f4\u63a5\u62ff\u4e0b\u6570\u5b66\u5965\u8d5b\u91d1\u724c\uff0c\u751a\u81f3\u80fd\u5728\u535a\u58eb\u7ea7\u522b\u7684\u79d1\u5b66\u95ee\u7b54\u73af\u8282\u4e0a\u8d85\u8d8a\u4eba\u7c7b\u4e13\u5bb6\u3002<\/section>\n
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\u5728\u6027\u80fd\u8dc3\u5347\u4e4b\u5916\uff0c\u66f4\u91cd\u8981\u7684\u662f\uff0c\u5b83\u63ed\u793a\u4e86\u5927\u6a21\u578b\u8fdb\u5316\u8303\u5f0f\u7684\u8f6c\u53d8\uff1a\u901a\u8fc7\u66f4\u591a\u7684\u5f3a\u5316\u5b66\u4e60\uff08\u8bad\u7ec3\u65f6\u8ba1\u7b97\uff09\u548c\u66f4\u591a\u7684\u63a8\u7406\uff08Test-Time \u8ba1\u7b97\uff09\uff0c\u6a21\u578b\u53ef\u4ee5\u83b7\u5f97\u66f4\u5f3a\u5927\u7684\u6027\u80fd\u3002<\/section>\n
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\u8fd9\u53c8\u4e00\u6b21\u8ba9\u6211\u4eec\u60f3\u8d77 Richard Sutton \u5728\u300aThe Bitter Lesson\u300b\u4e2d\u6240\u8bf4\u7684\uff0c\u5229\u7528\u8ba1\u7b97\u80fd\u529b\u7684\u4e00\u822c\u65b9\u6cd5\u6700\u7ec8\u662f\u6700\u6709\u6548\u7684\u65b9\u6cd5\u3002\u8fd9\u7c7b\u65b9\u6cd5\u4f1a\u968f\u7740\u7b97\u529b\u7684\u589e\u52a0\u800c\u7ee7\u7eed\u6269\u5c55\uff0c\u641c\u7d22\u548c\u5b66\u4e60\u4f3c\u4e4e\u6b63\u662f\u4e24\u79cd\u4ee5\u6b64\u65b9\u5f0f\u968f\u610f\u6269\u5c55\u7684\u65b9\u6cd5\u3002\u8fde\u5c71\u59c6\u30fb\u5965\u7279\u66fc\u4e5f\u5766\u8a00\uff0c\u5728\u672a\u6765\u7684\u4e00\u6bb5\u65f6\u95f4\u91cc\uff0c\u65b0\u8303\u5f0f\u8fdb\u5316\u7684\u66f2\u7ebf\u4f1a\u975e\u5e38\u9661\u5ced\u3002<\/section>\n
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\u4ece\u300c\u8bad\u7ec3 Scaling\u300d\u5230\u300c\u63a8\u7406 Scaling\u300d\u7684\u8303\u5f0f\u8f6c\u53d8<\/strong>\uff0c\u4e5f\u5f15\u53d1\u4e86\u5173\u4e8e\u8ba1\u7b97\u8d44\u6e90\u5206\u914d\u548c\u786c\u4ef6\u9009\u62e9\u7684\u91cd\u65b0\u601d\u8003\u3002<\/section>\n
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\u9886\u57df\u5185\u7684\u7814\u7a76\u8005\u548c\u4ece\u4e1a\u8005\u8ba4\u8bc6\u5230\uff0c\u4e00\u65b9\u9762\uff0c\u66f4\u591a\u7684\u8ba1\u7b97\u8d44\u6e90\u5e94\u8be5\u6295\u5165\u5230\u63a8\u7406\u9636\u6bb5\uff0c\u53e6\u4e00\u65b9\u9762\uff0c\u4f18\u5316\u786c\u4ef6\u914d\u7f6e\u4ee5\u63d0\u5347\u5927\u6a21\u578b\u63a8\u7406\u7684\u6548\u7387\u5c06\u662f\u4e0b\u4e00\u9636\u6bb5\u7684\u653b\u5173\u91cd\u70b9\u3002\u800c\u5927\u6a21\u578b\u8981\u8fdb\u884c\u63a8\u7406 Scaling\uff0c\u5b9e\u9645\u4e0a\u6bd4\u8bad\u7ec3 Scaling \u5bf9\u82af\u7247\u5e76\u884c\u5904\u7406\u80fd\u529b\u7684\u8981\u6c42\u66f4\u9ad8\u3002<\/section>\n
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GPU \u6700\u521d\u8bbe\u8ba1\u7528\u4e8e\u56fe\u5f62\u6e32\u67d3\uff0c\u7531\u4e8e\u5176\u5e76\u884c\u5904\u7406\u80fd\u529b\uff0c\u8fc7\u53bb\u6570\u5e74\u4e00\u76f4\u662f\u4ee5\u6d77\u91cf\u6570\u636e\u96c6\u8bad\u7ec3\u5927\u6a21\u578b\u7684\u70ed\u95e8\u9009\u62e9\u3002\u867d\u7136 GPU \u975e\u5e38\u9002\u5408\u5b9e\u73b0\u795e\u7ecf\u7f51\u7edc\u7684\u8bad\u7ec3\u5de5\u4f5c\uff0c\u4f46\u5728\u5168\u65b0\u7684\u8303\u5f0f\u4e0b\uff0c\u7531\u4e8e\u5176\u5728\u5ef6\u8fdf\u3001\u529f\u8017\u7b49\u65b9\u9762\u8868\u73b0\u4e0d\u4f73\uff0c \u5e76\u4e0d\u662f\u8fdb\u884c\u5927\u89c4\u6a21\u63a8\u7406\u7684\u6700\u597d\u9009\u62e9\u3002<\/section>\n
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\u5728 GPU \u4e4b\u5916\uff0c\u4ec0\u4e48\u662f\u5927\u6a21\u578b\u63a8\u7406\u7684\u66f4\u597d\u9009\u62e9\uff1f\u73b0\u5728\u7684 AI \u82af\u7247\u6709\u5404\u79cd\u6d41\u6d3e\uff1aASIC\u3001FPGA\u3001DSP\u3001Neuromorphic Chip\uff0c\u4ee5\u53ca\u5927\u91cf DSA \uff08Domain-specific architectures\uff09\u82af\u7247\u3002\u5176\u4e2d\uff0c\u4ee5 SambaNova RDU\uff08Reconfigurable Dataflow Unit\uff09\u4e3a\u4ee3\u8868\u7684\u52a8\u6001\u53ef\u91cd\u6784\u6570\u636e\u6d41\uff08Dataflow\uff09\u67b6\u6784\u7684\u82af\u7247\uff0c\u80fd\u591f\u901a\u8fc7\u5e76\u884c\u5904\u7406\u548c\u9ad8\u6548\u6570\u636e\u79fb\u52a8\u6765\u4f18\u5316\u6027\u80fd\u548c\u6548\u7387\uff0c\u8fd1\u5e74\u8d8a\u6765\u8d8a\u88ab\u8ba4\u4e3a\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u53d1\u5c55\u65b9\u5411\u3002<\/strong><\/section>\n
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\u6570\u500d\u4e8e GPU \u63a8\u7406\u6027\u80fd<\/strong><\/section>\n
\u6765\u81ea SambaNova \u6700\u65b0\u4e00\u4ee3 RDU SN40L<\/strong><\/section>\n
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\u8fd1\u65e5\u7684\u82af\u7247\u76db\u4f1a Hot Chips \u4e0a\uff0c\u56f4\u7ed5\u5927\u6a21\u578b\u7684\u8bae\u9898\u6bd4\u4ee5\u5f80\u4efb\u4f55\u4e00\u5c4a\u90fd\u66f4\u52a0\u6d3b\u8dc3\u3002SambaNova \u7684\u6700\u65b0\u4e00\u4ee3 RDU \u4ea7\u54c1 SN40L \u4e5f\u5728\u8fd9\u573a\u5927\u4f1a\u4e0a\u5f15\u53d1\u6301\u7eed\u8ba8\u8bba\u3002\u5927\u5bb6\u4e5f\u5145\u5206\u4e86\u89e3\u5230\uff0cSambanova \u5982\u4f55\u5b9e\u73b0\u5927\u6a21\u578b\u7684\u5feb\u901f\u63a8\u7406\u4ee5\u53ca\u63d0\u4f9b GPU \u4e4b\u5916\u7684\u66f4\u4f18\u65b9\u6848\u3002<\/section>\n
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\u6211\u4eec\u77e5\u9053\uff0c\u5927\u6a21\u578b\u5728\u63a8\u7406\u65f6\u4f1a\u9010\u6b65\u751f\u6210\u8f93\u51fa\u5e8f\u5217\u7684 Token\uff0c\u6bcf\u751f\u6210\u6bcf\u4e00\u4e2a token \u90fd\u4f1a\u9700\u8981\u628a\u6a21\u578b\u7684\u53c2\u6570\u4ece HBM\uff08High Bandwidth Memory\uff09\u642c\u8fd0\u5230\u7247\u4e0a\u8fdb\u884c\u8ba1\u7b97\u3002\u5bf9\u4e8e\u5229\u7528 HBM \u6765\u63a8\u7406\u7684\u82af\u7247\u6765\u8bf4\uff0cHBM \u7684\u5229\u7528\u7387\u662f\u63a8\u7406\u901f\u5ea6\u7684\u5173\u952e\uff0c\u8d8a\u5feb\u4ece\u5185\u5b58\u4e2d\u8bbf\u95ee\u6570\u636e\uff0c\u5c31\u8d8a\u80fd\u7f29\u77ed\u5904\u7406\u65f6\u95f4\u3002<\/section>\n
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SambaNova \u7684 RDU \u65e2\u6709 GPU 10 \u500d\u4ee5\u4e0a\u7684\u7247\u4e0a\u5206\u5e03 SRAM\uff0c\u4e5f\u6709\u9002\u7528\u4e8e\u9700\u8981\u5feb\u901f\u6570\u636e\u4f20\u8f93\u7684\u5927\u89c4\u6a21\u8ba1\u7b97\u4efb\u52a1\u7684 HBM\u3002\u5176\u67b6\u6784\u53ef\u4ee5\u81ea\u52a8\u505a\u5230\u6781\u81f4\u7684\u7b97\u5b50\u878d\u5408\uff0c\u8fbe\u5230 90% \u4ee5\u4e0a\u7684 HBM \u5229\u7528\u7387\uff0c\u4f7f\u5f97 RDU \u5bf9 GPU \u6709\u4e86 2-4 \u500d\u7684\u6027\u80fd\u4f18\u52bf\u3002<\/section>\n
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\u5f53\u524d\u7684 AI \u63a8\u7406\u5e73\u53f0\u4e2d\uff0cSambaNova \u662f\u552f\u4e00\u80fd\u5728 Llama 3.1 405B \u4e0a\u63d0\u4f9b\u6bcf\u79d2\u8d85\u8fc7 100 \u4e2a Token \u63a8\u7406\u901f\u5ea6\u7684\u5e73\u53f0\u3002<\/strong><\/section>\n
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\u5982\u4e0b\u56fe\u6240\u793a\uff0c\u6bcf\u4e2a\u6846\u90fd\u662f\u4e00\u4e2a\u7b97\u5b50\u3002\u4e00\u822c\u6765\u8bf4\uff0c\u591a\u4e2a\u7b97\u5b50\u4f1a\u540c\u65f6\u8fd0\u884c\uff0c\u5e76\u5c06\u6570\u636e\u4fdd\u5b58\u5728\u82af\u7247\u4e0a\u4ee5\u91cd\u590d\u4f7f\u7528\u3002\u4f46\u5728 RDU \u4e2d\uff0c\u6574\u4e2a\u89e3\u7801\u5668\u662f\u4e00\u4e2a Kernel \u8c03\u7528\u3002<\/section>\n
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\u8fd9\u610f\u5473\u7740\u8c03\u7528\u5f00\u9500\u4f1a\u663e\u8457\u51cf\u5c11\uff0c\u82af\u7247\u5bf9\u6570\u636e\u8fdb\u884c\u6709\u6548\u5de5\u4f5c\u7684\u65f6\u95f4\u5219\u589e\u52a0\u4e86\u3002<\/section>\n
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\u53e6\u5916\u4e00\u65b9\u9762\uff0c\u6781\u81f4\u7684\u7b97\u5b50\u878d\u5408\u4f7f RDU \u80fd\u591f\u8fbe\u5230\u7c7b\u4f3c GPU \u7684\u6279\u5904\u7406\u80fd\u529b\u3002GPU \u6709\u5f88\u597d\u7684\u6279\u5904\u7406\u80fd\u529b\uff08\u6bd4\u5982\u4ece BS1 \u5230 BS16)\uff0c\u53ef\u5c06\u541e\u5410\u91cf\u63d0\u9ad8 12 \u5230 15 \u500d\u3002\u6bd4\u5982\u5728\u4e0a\u56fe\u4e2d\uff0c\u5f53 decoder0 \u5728\u8fdb\u884c\u6279\u5904\u7406\u8fd0\u7b97\u65f6\uff0c\u53ef\u4ee5\u540c\u65f6\u4ece HBM \u8bfb\u53d6 decoder1 \u7684\u53c2\u6570\u3002<\/section>\n
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\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 SambaNova \u7684\u7814\u7a76\u8005\u89c2\u5bdf\u5230\uff0cSN40L \u5728 Llama 3.1 70B \u4e0a\u53ef\u4ee5\u5b9e\u73b0\u8f83\u597d\u7684\u541e\u5410\u91cf Scaling\u3002<\/sup><\/em><\/section>\n
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\u4e3a\u4ec0\u4e48\u4e1a\u5185\u666e\u904d\u770b\u597d\u6570\u636e\u6d41\u67b6\u6784\uff1f<\/strong><\/section>\n
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SN40L \u8ba9\u6211\u4eec\u91cd\u65b0\u8ba4\u8bc6\u4e86 SambaNova RDU \u76f8\u5bf9\u4e8e\u4e3b\u6d41 GPU \u7684\u901f\u5ea6\u4f18\u52bf\uff0c\u800c\u6570\u636e\u6d41\u67b6\u6784\u7684\u4ef7\u503c\u4e5f\u5728\u88ab\u8d8a\u6765\u8d8a\u591a\u7684\u4ece\u4e1a\u8005\u91cd\u65b0\u53d1\u73b0\u3002<\/section>\n
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\u4e0e GPU \u672c\u8d28\u4e0a\u4e0d\u540c\u7684\u662f\uff0c\u6570\u636e\u6d41\u67b6\u6784\u901a\u8fc7\u6570\u636e\u6d41\u52a8\u6765\u9a71\u52a8\u8ba1\u7b97\u8fc7\u7a0b\uff0c\u800c\u975e\u5e38\u89c4\u6307\u4ee4\u6d41\u52a8\u3002\u5728\u8be5\u67b6\u6784\u4e2d\uff0c\u7a0b\u5e8f\u88ab\u8868\u793a\u4e3a\u4e00\u4e2a Dataflow Graph\uff0c\u5176\u4e2d\u8282\u70b9\u4ee3\u8868\u8ba1\u7b97\u64cd\u4f5c\uff0c\u8fb9\u4ee3\u8868\u6570\u636e\u4f9d\u8d56\u5173\u7cfb\u3002\u6bcf\u4e2a\u8282\u70b9\u5728\u5176\u6240\u6709\u8f93\u5165\u6570\u636e\u51c6\u5907\u597d\u540e\u7acb\u5373\u6267\u884c\uff0c\u5e76\u5c06\u7ed3\u679c\u4f20\u9012\u7ed9\u4e0b\u6e38\u8282\u70b9\u3002\u8fd9\u79cd\u67b6\u6784\u5929\u7136\u652f\u6301\u5e76\u884c\u5904\u7406\uff0c\u591a\u4e2a\u72ec\u7acb\u7684\u8ba1\u7b97\u64cd\u4f5c\u53ef\u4ee5\u540c\u65f6\u6267\u884c\uff0c\u4ece\u800c\u663e\u8457\u63d0\u9ad8\u4e86\u8ba1\u7b97\u6027\u80fd\u3002<\/section>\n
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\u4ece\u4e0b\u56fe\u53ef\u4ee5\u770b\u5230\uff0cSambaNova RDU \u7684\u7247\u4e0a\u7a7a\u95f4\u6570\u636e\u6d41\u53ef\u4ee5\u505a\u81ea\u52a8\u7684\u7b97\u5b50\u878d\u5408 (kernel fusion)\uff0c\u4e0e GPU \u7684\u4f20\u7edf kernel-by-kernel \u8fd0\u884c\u76f8\u6bd4\uff0c\u660e\u663e\u6d88\u9664\u4e86\u5927\u91cf\u7684\u5185\u5b58\u6d41\u91cf\u548c\u5f00\u9500\u3002<\/section>\n
<\/a><\/a><\/section>\n
\u8fd1\u5e74\u6765\uff0cGPU \u5382\u5546\u660e\u663e\u610f\u8bc6\u5230\u975e Dataflow \u67b6\u6784\u7684\u77ed\u677f\uff0c\u5e76\u4e3a GPU \u90e8\u5206\u5f15\u5165\u4e00\u4e9b Dataflow \u7684\u529f\u80fd\u3002\u4f8b\u5982\uff0c\u4ece H100 \u5f00\u59cb\uff0cGPU \u5f00\u59cb\u52a0\u5165\u5206\u5e03\u5f0f\u5171\u4eab\u5185\u5b58\uff08Distributed Shared Memory) \uff0c\u4e5f\u52a0\u5165\u4e86\u65b0\u7684\u5f20\u91cf\u5185\u5b58\u52a0\u901f\u5668 (Tensor Memory Accelerator) \u5355\u5143\uff0c\u4f7f\u5176\u67d0\u79cd\u7a0b\u5ea6\u4e0a\u6a21\u4eff\u4e86\u7247\u4e0a\u7a7a\u95f4\u6d41\u6c34\u7ebf\u8fd0\u884c\u7684\u300c\u8303\u5f0f\u300d\u3002<\/section>\n
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\u4f46\u8fd9\u79cd\u7a0b\u5ea6\u7684\u6539\u52a8\u8fdc\u8fdc\u4e0d\u591f\uff0cGPU \u8ffd\u8d76\u7684\u901f\u5ea6\u6050\u6015\u5df2\u7ecf\u8ddf\u4e0d\u4e0a AI \u9886\u57df\u63a8\u7406\u9700\u6c42\u7684\u66b4\u6da8\u3002\u6bd5\u7adf GPU \u6700\u521d\u4e0d\u662f\u4e13\u95e8\u4e3a AI \u800c\u8bbe\u8ba1\u7684\uff0c\u5382\u5546\u4eec\u5f88\u96be\u5728\u4e0d\u5f71\u54cd\u4e3b\u8425\u4e1a\u52a1\u7684\u60c5\u51b5\u4e0b\u5bf9\u57fa\u672c\u67b6\u6784\u505a\u5b8c\u5168\u7684\u91cd\u65b0\u8bbe\u8ba1\uff0c\u5373\u4f7f\u589e\u52a0\u4e86\u4e0a\u8ff0\u7684\u300c\u4fee\u8865\u300d\u5de5\u4f5c\uff0c\u4e5f\u65e0\u6cd5\u5b8c\u5168\u91c7\u7528\u9ad8\u6548\u7684\u6570\u636e\u6d41\u67b6\u6784\uff0c\u8fd9\u4ece\u6839\u672c\u4e0a\u9650\u5236\u4e86 GPU \u63a8\u7406\u7684\u63d0\u901f\u3002<\/section>\n
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\u5f53\u524d\u7684\u51e0\u5bb6\u4e3b\u6d41 AI \u82af\u7247 Startup\uff0c\u90fd\u9009\u62e9\u4e86\u6570\u636e\u6d41\u67b6\u6784\u3002\u5176\u4e2d\u6765\u81ea SambaNova \u7684 RDU \u5c55\u73b0\u51fa\u4e86\u72ec\u7279\u4f18\u52bf\uff0c\u4e5f\u88ab\u89c6\u4e3a GPU \u7684\u6700\u6709\u529b\u7ade\u4e89\u8005 \u3002<\/strong>\u4e0e\u82f1\u4f1f\u8fbe\u76f8\u6bd4\uff0cSambanova \u6700\u65b0 Llama 3.1 \u6a21\u578b\u4e0a\u751f\u6210 token \u7684\u6027\u80fd\u5feb\u4e86 10 \u500d\u4ee5\u4e0a\uff0c\u5e76\u4e14\u901a\u8fc7 cloud.sambanova.ai \u516c\u5f00\u4f9b\u5f00\u53d1\u4eba\u5458\u4f7f\u7528\u3002<\/section>\n
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RDU \u80fd\u591f\u5b9e\u73b0\u66f4\u5feb\u7684\u63a8\u7406\u901f\u7387\uff0c\u66f4\u5229\u4e8e\u5927\u6a21\u578b\u7684\u90e8\u7f72\u3002\u8fde\u4eba\u5de5\u667a\u80fd\u4e13\u5bb6\u5434\u6069\u8fbe\u4e5f\u60ca\u53f9 SambaNova \u7684\u63a8\u7406\u901f\u7387\uff1a\u00a0<\/section>\n
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\u4ece\u6700\u57fa\u7840\u7684\u6210\u672c\u4e0a\u8bf4\uff0c\u7531\u4e8e Sambanova \u7684\u6570\u636e\u6d41\u67b6\u6784 RDU \u4e0d\u4ec5\u62e5\u6709\u5927\u7684\u7247\u4e0a SRAM\uff0c\u540c\u65f6\u62e5\u6709 HBM \u5c42\u9762\u7684\u4f18\u52bf\uff0c\u76f8\u6bd4\u4e8e\u5176\u4ed6\u7684\u51e0\u4e2a\u5355\u7eaf\u4f9d\u9760\u7247\u4e0a SRAM \u7684\u6570\u636e\u6d41\u4f01\u4e1a\uff0c\u7528\u6237\u9700\u8981\u652f\u6301\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u57fa\u7840\u8bbe\u65bd\u66f4\u5c11\u3002\u4f8b\u5982\uff0c\u60f3\u5728 Llama 70B \u4e0a\u63a8\u7406\uff0c\u5bf9\u4e8e\u6709\u4e9b AI \u82af\u7247\u6765\u8bf4\u9700\u8981\u4e94\u767e\u591a\u4e2a\u82af\u7247\uff0c\u6216\u8005\u76f8\u5f53\u4e8e\u4e09\u767e\u591a\u4e2a\u82af\u7247\u7684 4 \u4e2a wafer \uff0c\u800c SambaNova \u53ea\u9700\u8981 \u62e5\u6709 16 \u4e2a\u82af\u7247\u7684 1 \u4e2a\u673a\u67b6\u3002(https:\/\/sambanova.ai\/blog\/sn40l-chip-best-inference-solution)<\/section>\n
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\u66f4\u8fdb\u4e00\u6b65\u8bf4\uff0cRDU \u6240\u5e26\u6765\u63a8\u7406\u901f\u5ea6\u63d0\u5347\u7684\u610f\u4e49\u4e0d\u53ea\u662f\u4f53\u73b0\u5728\u6548\u7387\u4e0a\uff0c\u66f4\u80fd\u4f53\u73b0\u5728\u8d28\u91cf\u4e0a\uff0c\u4e5f\u4f53\u73b0\u5bf9 AGI \u63a2\u7d22\u7684\u52a0\u901f\u4e0a\u3002<\/section>\n
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\u57fa\u4e8e OpenAI o1 \u5e26\u6765\u7684\u63a8\u7406 Scaling Law \u7684\u542f\u53d1\uff0c\u4eba\u4eec\u610f\u8bc6\u5230\uff0c\u5728\u63a8\u7406\u7aef\uff0c\u66f4\u591a\u7684\u7b97\u529b\u540c\u6837\u4f1a\u5e26\u6765\u66f4\u5f3a\u7684\u667a\u80fd\u3002\u56e0\u4e3a\u5728\u540c\u4e00\u65f6\u95f4\u5355\u4f4d\u5185\uff0c\u63a8\u7406\u901f\u5ea6\u8d8a\u5feb\uff0c\u5c31\u80fd\u5b9e\u73b0\u8d8a\u590d\u6742\u7684\u63a8\u7406\uff0c\u5c31\u80fd\u89e3\u9501\u8d8a\u591a\u590d\u6742\u4efb\u52a1\uff0c\u5927\u6a21\u578b\u5e94\u7528\u7684\u5929\u82b1\u677f\u5c31\u8d8a\u9ad8\u3002<\/section>\n
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\u8fd9\u610f\u5473\u7740\uff0c\u5982\u679c\u6211\u4eec\u60f3\u66f4\u5feb\u5b9e\u73b0 AGI\uff0c\u6211\u4eec\u672c\u8d28\u4e0a\u6700\u9700\u8981\u5efa\u8bbe\u8db3\u591f\u7684\u57fa\u7840\u8bbe\u65bd\u5e76\u6301\u7eed\u964d\u4f4e\u8ba1\u7b97\u6210\u672c\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u8ba1\u7b97\u8d44\u6e90\u8fd8\u8981\u66f4\u591a\u5730\u5411\u63a8\u7406\u4fa7\u589e\u52a0\u3002<\/strong>\u4f46\u5728\u76ee\u524d\u7684\u6761\u4ef6\u4e0b\uff0c\u7b97\u529b\u5f80\u5f80\u662f\u5927\u6a21\u578b\u5382\u5546\u4eec\u62d3\u5c55\u6280\u672f\u4e0a\u9650\u7684\u5934\u9053\u96be\u5173\uff0c\u5373\u4f7f\u5bf9\u4e8e\u5b9e\u529b\u96c4\u539a\u7684\u73a9\u5bb6\u4eec\u4e5f\u4e00\u6837\u3002<\/section>\n
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OpenAI \u5728\u53d1\u5e03 o1 \u65f6\u4f3c\u4e4e\u5c31\u9047\u5230\u4e86\u8fd9\u4e2a\u95ee\u9898\u3002\u673a\u5668\u5b66\u4e60\u7814\u7a76\u5458 Nathan Lambert \u5728\u535a\u5ba2\u300a\u9006\u5411\u5de5\u7a0b \u00a0OpenAI \u7684 o1\u300b\u4e2d\u5199\u5230\uff0c\u5728\u5df2\u53d1\u5e03\u7684\u57fa\u51c6\u6d4b\u8bd5\u5206\u6570\u548c\u66f2\u7ebf\u56fe\u4e2d\uff0co1 preview \u5e76\u975e\u662f\u80fd\u529b\u6700\u5f3a\u7684\uff0c\u4f46 OpenAI \u5e76\u672a\u7acb\u5373\u53d1\u5e03\u6700\u5f3a\u7248\u672c\u7684 o1 \uff08\u8be6\u60c5\u89c1\u4e0b\u56fe\uff09\uff0c\u539f\u56e0\u662f\u300c\u6700\u5f3a\u914d\u7f6e\u300d\u8fc7\u4e8e\u6602\u8d35\uff0c\u4ed6\u4eec\u6ca1\u6709\u5bf9\u5e94\u7684\u57fa\u7840\u8bbe\u65bd\u652f\u6301\u5927\u89c4\u6a21\u7684\u90e8\u7f72\u3002<\/section>\n
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\u4f46\u63a8\u7406\u7b97\u529b\u9700\u6c42\u5e76\u975e\u5929\u5811\u4e0d\u53ef\u8de8\u8d8a\u3002\u5728 o1 \u53d1\u5e03\u540e\u4e0d\u4e45\uff0cSambaNova \u4fbf\u5728 Hugging Face \u4e0a\u53d1\u5e03\u4e86 Llama 3.1 Instruct-O1 \u6f14\u793a \u3002\u8fd9\u4e2a\u9879\u76ee\u7531 SambaNova \u7684 SN40L RDU \u63d0\u4f9b\u7b97\u529b\u652f\u6301\uff0c\u7528\u6237\u53ef\u4e0e LLama 3.1 405B-instruct \u6a21\u578b\u8fdb\u884c\u5b9e\u65f6\u5bf9\u8bdd\uff0c\u4f53\u9a8c\u98ce\u9a70\u7535\u63a3\u822c\u7c7b o1 \u7684\u63a8\u7406\u8fc7\u7a0b\u3002<\/section>\n
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\u9879\u76ee\u5730\u5740\uff1ahttps:\/\/huggingface.co\/spaces\/sambanovasystems\/Llama3.1-Instruct-O1<\/section>\n
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\u8fd9\u610f\u5473\u7740\uff0c\u5728\u5f3a\u5927\u7b97\u529b\u7684\u652f\u6301\u4e0b\uff0c\u5f00\u6e90\u5927\u6a21\u578b\u63a8\u7406\u80fd\u529b\u4f1a\u4e0d\u65ad\u63d0\u5347\uff0c\u590d\u73b0\u5b8c\u6574 o1 \u751a\u81f3\u89e6\u8fbe\u66f4\u9ad8\u7ea7\u7684\u667a\u80fd\u662f\u6307\u65e5\u53ef\u5f85\u7684\u3002<\/section>\n
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\u4e00\u4e2a\u65b0\u7684\u65f6\u4ee3\u6b63\u5728\u5f00\u542f\uff0c\u5f53\u5927\u6a21\u578b Scaling Law \u7684\u91cd\u5fc3\u4ece\u9884\u8bad\u7ec3\u5411\u540e\u8bad\u7ec3\u548c\u63a8\u7406\u4fa7\u8f6c\u79fb\uff0c\u5382\u5546\u4eec\u5728\u7b97\u529b\u5c42\u9762\u7684\u5206\u914d\u4e0e\u8bbe\u8ba1\u4e5f\u4f1a\u66f4\u6df1\u523b\u5f71\u54cd\u5927\u6a21\u578b\u9886\u57df\u7684\u7ade\u4e89\u683c\u5c40\u3002\u800c\u5bf9\u4e8e SambaNova \u6216\u5176\u4ed6\u4ee5\u63d0\u4f9b\u7b97\u529b\u548c\u8ba1\u7b97\u57fa\u7840\u8bbe\u65bd\u89c1\u957f\u7684\u516c\u53f8\u6765\u8bf4\uff0c\u63a5\u4e0b\u6765\u4f1a\u8fce\u6765\u524d\u6240\u672a\u6709\u7684\u673a\u9047\u3002<\/section>\n
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\u82f1\u4f1f\u8fbe\u7684\u6311\u6218\u8005<\/strong><\/section>\n
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\u5728 AI \u82af\u7247\u8d5b\u9053\u7684\u8bf8\u591a\u521d\u521b\u516c\u53f8\u4e2d\uff0cSambaNova \u662f\u76ee\u524d\u4f30\u503c\u6700\u9ad8\u7684\u4e00\u5bb6\u72ec\u89d2\u517d\u3002<\/section>\n
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SambaNova \u6210\u7acb\u4e8e 2017 \u5e74\uff0c\u62e5\u6709\u4e09\u4f4d\u8d44\u6df1\u7684\u8054\u5408\u521b\u59cb\u4eba\uff1aRodrigo Liang\u3001Kunle Olukotun\u3001Christopher R\u00e9\u3002CEO Rodrigo Liang \u6bd5\u4e1a\u4e8e\u65af\u5766\u798f\u5927\u5b66\uff0c\u5728\u521b\u7acb SambaNova \u4e4b\u524d\uff0cRodrigo \u9886\u5bfc\u4e86\u7532\u9aa8\u6587\u548c Sun Microsystems \u7684\u5de5\u7a0b\u56e2\u961f\uff0c\u8d1f\u8d23 SPARC \u5904\u7406\u5668\u548c ASIC \u7684\u5f00\u53d1\u3002Kunle Olukotun \u548c Christopher R\u00e9 \u90fd\u6765\u81ea\u65af\u5766\u798f\u5927\u5b66\u3002<\/section>\n
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\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u4ece\u5de6\u5230\u53f3\u5206\u522b\u4e3a Kunle Olukotun\u3001Rodrigo Liang\u3001Christopher R\u00e9\u3002<\/sup><\/em><\/section>\n
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\u6b64\u5916\uff0c\u88ab\u8a89\u4e3a\u300c\u82af\u7247\u98ce\u9669\u6295\u8d44\u6559\u7236\u300d\u7684\u9648\u7acb\u6b66\uff0c\u81ea\u521b\u7acb\u4e4b\u521d\u4fbf\u4f5c\u4e3a\u521b\u59cb\u6295\u8d44\u4eba\u548c\u8463\u4e8b\u4f1a\u4e3b\u5e2d\u52a0\u5165 SambaNova\uff0c\u5e76\u4e8e 2024 \u5e74 5 \u6708\u51fa\u4efb\u6267\u884c\u4e3b\u5e2d\uff0c\u4ee5\u52a0\u901f\u548c\u6269\u5927\u516c\u53f8\u7684\u53d1\u5c55\u3002\u81ea 1987 \u5e74\u521b\u7acb\u534e\u767b\u56fd\u9645\uff08Walden International\uff09\u4ee5\u6765\uff0c\u9648\u7acb\u6b66\u6295\u8d44\u4e86\u8bb8\u591a\u516c\u53f8\uff08\u5305\u62ec SambaNova\uff09\uff0c\u5728\u63a8\u52a8\u534a\u5bfc\u4f53\u521b\u65b0\u548c\u53d1\u5c55\u65b9\u9762\u53d1\u6325\u4e86\u91cd\u8981\u4f5c\u7528\u3002<\/section>\n
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\u5728\u6df1\u5ea6\u5b66\u4e60\u5f15\u53d1\u7684\u7b2c\u4e09\u6b21\u4eba\u5de5\u667a\u80fd\u6d6a\u6f6e\u4e2d\uff0c\u7b97\u529b\u5bf9\u4eba\u5de5\u667a\u80fd\u53d1\u5c55\u7684\u51b3\u5b9a\u4f5c\u7528\u5df2\u6210\u5171\u8bc6\u3002\u4e00\u7cfb\u5217\u6781\u5177\u5f71\u54cd\u529b\u7684 AI \u7814\u7a76\uff0c\u5982 AlexNet\u3001ResNet \u548c Transformer \u90fd\u662f\u5728 GPU \u4e0a\u5b9e\u73b0\u548c\u8bc4\u4f30\u7684\uff0c\u8fd9\u4e5f\u8ba9\u82f1\u4f1f\u8fbe\u5341\u5e74\u6765\u59cb\u7ec8\u5904\u4e8e AI \u786c\u4ef6\u5e02\u573a\u7684\u4e3b\u5bfc\u5730\u4f4d\u3002<\/p>\n

\u4e0d\u8fc7\uff0c\u65f6\u4ee3\u53ef\u80fd\u771f\u8981\u53d8\u4e86\u3002\u6b63\u5982 Transformer \u4f1a\u8fce\u6765\u65b0\u7684\u6311\u6218\u8005\uff0c\u6bd4\u5982 Mamba\uff1b\u82f1\u4f1f\u8fbe\u548c GPU \u4e5f\u4f1a\u8fce\u6765\u4e0b\u4e00\u9636\u6bb5\u7684\u5f3a\u52b2\u7ade\u4e89\u8005\uff0c\u6bd4\u5982 SambaNova \u7684 RDU\u3002<\/section>\n
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