![\"\"](\"https:\/\/www.ioiotimes.com\/wordpress\/wp-content\/uploads\/2025\/10\/20251010-nvidia01.jpg\" "\\"\\"")
<\/figure><\/div>\n\n\n<\/p>\n\n\n\n
\u96a8\u8457\u4eba\u5de5\u667a\u6167\uff08AI\uff09\u5f9e\u4e00\u6b21\u6027\u56de\u8986\u8f49\u8b8a\u6210\u8907\u96dc\u63a8\u7406\uff08reasoning\uff09\uff0c\u63a8\u8ad6\uff08inference\uff09<\/a>\u7684\u9700\u6c42\u8207\u5176\u80cc\u5f8c\u7684\u7d93\u6fdf\u6548\u76ca\u6b63\u6025\u901f\u6210\u9577\u3002<\/p>\n\n\n\n \u5168\u65b0\u7684\u7368\u7acb\u00a0InferenceMAX v1 \u662f\u9996\u500b\u5728\u771f\u5be6\u5834\u666f\u4e2d\u8861\u91cf\u7e3d\u904b\u7b97\u6210\u672c\u7684\u57fa\u6e96\u6e2c\u8a66\u3002\u7d50\u679c\u986f\u793a\uff0cNVIDIA Blackwell\u00a0\u5e73\u53f0\u6a6b\u6383\u5168\u5834<\/a>\uff0c\u70ba\u00a0AI\u00a0\u5de5\u5ee0<\/a>\u5be6\u73fe\u7121\u8207\u502b\u6bd4\u7684\u6548\u80fd\u8207\u6700\u4f73\u6574\u9ad4\u6548\u7387\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n \u6295\u8cc7\u00a0500\u00a0\u842c\u7f8e\u5143\u65bc\u00a0NVIDIA GB200 NVL72\u00a0\u7cfb\u7d71\uff0c\u53ef\u5275\u9020\u00a07,500\u00a0\u842c\u7f8e\u5143\u7684\u8a5e\u5143\uff08token\uff09\u6536\u76ca\uff0c\u5e36\u4f86 15\u00a0\u500d\u6295\u8cc7\u5831\u916c\u7387<\/strong>\u00a0–\u00a0\u9019\u662f\u63a8\u8ad6\u904b\u7b97\u7684\u65b0\u7d93\u6fdf\u6a21\u5f0f\u3002<\/p>\n\n\n\n NVIDIA \u8d85\u5927\u898f\u6a21\u8207\u9ad8\u6548\u80fd\u904b\u7b97\u526f\u7e3d\u88c1 Ian Buck \u8868\u793a\uff1a\u300c\u63a8\u8ad6\u662f AI \u6bcf\u5929\u5275\u9020\u50f9\u503c\u7684\u95dc\u9375\u3002\u9019\u4e9b\u7d50\u679c\u8b49\u660e\uff0cNVIDIA \u7684\u5168\u7aef\u7b56\u7565\u63d0\u4f9b\u5ba2\u6236\u5728\u5927\u898f\u6a21\u90e8\u7f72 AI \u6642\u6240\u9700\u7684\u6548\u80fd\u8207\u6548\u7387\u3002\u300d<\/p>\n\n\n\n <\/p>\n\n\n\n InferenceMAX v1 \u662f SemiAnalysis \u65bc\u9031\u4e00\u767c\u5e03\u7684\u5168\u65b0\u57fa\u6e96\u6e2c\u8a66\uff0c\u518d\u6b21\u7a81\u986f\u4e86 Blackwell \u5728\u63a8\u8ad6\u7684\u9818\u5c0e\u5730\u4f4d\u3002\u8a72\u57fa\u6e96\u5728\u4e3b\u8981\u5e73\u53f0\u4e0a\u904b\u884c\u71b1\u9580\u6a21\u578b\uff0c\u6e2c\u91cf\u591a\u6a23\u5316\u4f7f\u7528\u60c5\u5883\u4e0b\u7684\u6548\u80fd\uff0c\u4e26\u516c\u958b\u4efb\u4f55\u4eba\u7686\u53ef\u9a57\u8b49\u7684\u7d50\u679c\u3002<\/p>\n\n\n\n \u70ba\u4ec0\u9ebc\u9019\u4e00\u985e\u578b\u7684\u57fa\u6e96\u6e2c\u8a66\u5982\u6b64\u91cd\u8981\uff1f<\/p>\n\n\n\n \u56e0\u70ba\u73fe\u4ee3 AI \u4e0d\u50c5\u95dc\u4e4e\u901f\u5ea6\uff0c\u66f4\u95dc\u4e4e\u6548\u7387\u8207\u7d93\u6fdf\u898f\u6a21\u3002\u96a8\u8457\u6a21\u578b\u5f9e\u4e00\u6b21\u56de\u8986\u8f49\u8b8a\u70ba\u591a\u6b65\u9a5f\u63a8\u7406\u8207\u5de5\u5177\u4f7f\u7528\uff0c\u6bcf\u6b21\u67e5\u8a62\u751f\u6210\u7684\u8a5e\u5143<\/a>\u6578\u5927\u91cf\u589e\u52a0\uff0c\u986f\u8457\u63a8\u5347\u4e86\u904b\u7b97\u9700\u6c42\u3002<\/p>\n\n\n\n NVIDIA \u8207 OpenAI\uff08gpt-oss 120B<\/a>\uff09\u3001Meta\uff08Llama 3 70B<\/a>\uff09\u53ca DeepSeek AI\uff08DeepSeek R1<\/a>\uff09\u5728\u958b\u6e90\u9818\u57df\u7684\u5408\u4f5c\uff0c\u5c55\u793a\u4e86\u793e\u7fa4\u9a45\u52d5\u6a21\u578b\u5982\u4f55\u63a8\u9032\u63a8\u7406\u8207\u6548\u7387\u7684\u6700\u5148\u9032\u6210\u679c\u3002<\/p>\n\n\n\n \u900f\u904e\u8207\u9019\u4e9b\u9818\u5148\u6a21\u578b\u958b\u767c\u8005\u53ca\u958b\u6e90\u793e\u7fa4\u5408\u4f5c\uff0cNVIDIA \u78ba\u4fdd\u6700\u65b0\u6a21\u578b\u80fd\u91dd\u5c0d\u5168\u7403\u6700\u5927\u898f\u6a21\u7684 AI \u63a8\u8ad6\u57fa\u790e\u8a2d\u65bd\u9032\u884c\u6700\u4f73\u5316\u3002\u9019\u53cd\u6620 NVIDIA \u5c0d\u958b\u653e\u751f\u614b\u7cfb\u7684\u627f\u8afe\uff0c\u5171\u4eab\u5275\u65b0\u4ee5\u70ba\u6240\u6709\u4eba\u52a0\u901f\u9032\u5c55\u3002<\/p>\n\n\n\n \u8207 FlashInfer\u3001SGLang \u548c vLLM \u793e\u7fa4\u7684\u6df1\u5ea6\u5408\u4f5c\uff0c\u4f7f\u5f97\u5171\u540c\u958b\u767c\u7684\u589e\u5f37\u6838\u5fc3\u8207\u904b\u884c\u6642\uff0c\u80fd\u5927\u898f\u6a21\u9a45\u52d5\u9019\u4e9b\u6a21\u578b\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n NVIDIA \u900f\u904e\u786c\u9ad4\u8207\u8edf\u9ad4\u5354\u540c\u8a2d\u8a08\u4f86\u6301\u7e8c\u63d0\u5347\u6548\u80fd\u3002gpt-oss-120B \u5728\u642d\u8f09 NVIDIA TensorRT-LLM<\/a> \u51fd\u5f0f\u5eab\u7684NVIDIA DGX Blackwell B200 \u7cfb\u7d71\u4e0a\uff0c\u521d\u59cb\u6548\u80fd\u5373\u70ba\u696d\u754c\u9818\u5148\uff0c\u4f46 NVIDIA \u5718\u968a\u8207\u793e\u7fa4\u9032\u4e00\u6b65\u5c0d\u91dd\u5c0d\u958b\u6e90\u5927\u578b\u8a9e\u8a00\u6a21\u578b\uff0c\u5927\u5e45\u6700\u4f73\u5316\u4e86 TensorRT LLM \u7684\u6548\u80fd\u8868\u73fe\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n TensorRT-LLM v1.0<\/a> \u7684\u767c\u5e03\uff0c\u662f\u63a8\u52d5\u5927\u578b AI \u6a21\u578b\u66f4\u5feb\u901f\u3001\u66f4\u5177\u56de\u61c9\u6027\u7684\u91cd\u5927\u7a81\u7834\u3002<\/p>\n\n\n\n \u900f\u904e\u5148\u9032\u7684\u5e73\u884c\u5316\u6280\u8853\uff0c\u5b83\u904b\u7528 B200 \u7cfb\u7d71\u8207 NVIDIA NVLink Switch<\/a> \u7684 1,800 GB\/s \u96d9\u5411\u983b\u5bec\uff0c\u5927\u5e45\u63d0\u5347 gpt-oss-120B \u6a21\u578b\u7684\u6548\u80fd\u3002<\/p>\n\n\n\n \u5275\u65b0\u4e0d\u50c5\u65bc\u6b64\u3002\u5168\u65b0\u767c\u5e03\u7684 gpt-oss-120b-Eagle3-v2 \u6a21\u578b\u5f15\u5165\u300c\u63a8\u6e2c\u5f0f\u89e3\u78bc \uff08speculative decoding\uff09<\/a>\u300d\uff0c\u9019\u500b\u8070\u660e\u7684\u65b9\u6cd5\u80fd\u4e00\u6b21\u9810\u6e2c\u591a\u500b\u8a5e\u5143\uff0c\u964d\u4f4e\u5ef6\u9072\u4e26\u63d0\u5347\u901f\u5ea6\uff0c\u5c07\u6bcf\u4f7f\u7528\u8005\u8f38\u9001\u91cf\u63d0\u5347\u4e09\u500d\uff0c\u9054\u6bcf\u7528\u6236\u6bcf\u79d2100 \u8a5e\u5143\uff08TPS \/ user\uff09\uff0c\u6bcf GPU \u901f\u5ea6\u5f9e 6,000 \u63d0\u5347\u81f3 30,000 \u8a5e\u5143\u3002<\/p>\n\n\n\n \u5c0d\u65bc Llama 3.3 70B \u7b49\u5bc6\u96c6 AI \u6a21\u578b\uff0c\u7531\u65bc\u5176\u9f90\u5927\u53c3\u6578\u9700\u65bc\u63a8\u8ad6\u4e2d\u540c\u6642\u904b\u4f5c\u800c\u9700\u8981\u5927\u91cf\u7684\u904b\u7b97\u8cc7\u6e90\uff0cNVIDIA Blackwell B200 \u5728 InferenceMAX v1 \u57fa\u6e96\u6e2c\u8a66\u4e2d\u5275\u4e0b\u5168\u65b0\u6548\u80fd\u6a19\u6e96\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n Blackwell\u00a0\u5728\u6bcf\u00a0GPU\u00a0\u905410,000 TPS\u3001\u6bcf\u4f7f\u7528\u800550 TPS \u4e92\u52d5\u6027\u7684\u689d\u4ef6\u4e0b\uff0c\u63d0\u4f9b\u8f03\u00a0NVIDIA H200\u00a0\u9ad8\u00a04\u00a0\u500d\u7684\u6bcf GPU \u8f38\u9001\u91cf\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n \u6bcf\u74e6\u8f38\u51fa\u8a5e\u5143\u91cf\u3001\u6bcf\u767e\u842c\u8a5e\u5143\u6210\u672c\u8207\u6bcf\u4f7f\u7528\u8005 TPS \u7b49\u6307\u6a19\u8207\u8f38\u9001\u91cf\u540c\u7b49\u91cd\u8981\u3002\u5c0d\u529f\u7387\u53d7\u9650\u7684\u00a0AI\u00a0\u5de5\u5ee0\u800c\u8a00\uff0cBlackwell\u00a0\u6bcf\u5146\u74e6\u8f38\u9001\u91cf\u6bd4\u4e0a\u4e00\u4ee3\u63d0\u5347\u00a010\u00a0\u500d\uff0c\u80fd\u8f49\u5316\u70ba\u66f4\u7684\u9ad8\u8a5e\u5143\u6536\u76ca\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n \u6bcf\u8a5e\u5143\u6210\u672c\u662f\u8861\u91cf\u00a0AI\u00a0\u6a21\u578b\u6548\u7387\u7684\u95dc\u9375\uff0c\u76f4\u63a5\u5f71\u97ff\u71df\u904b\u652f\u51fa\u3002NVIDIA Blackwell\u00a0\u67b6\u69cb\u5c07\u6bcf\u767e\u842c\u8a5e\u5143\u6210\u672c\u8f03\u4e0a\u4e00\u4ee3\u964d\u4f4e\u00a015\u00a0\u500d\uff0c\u5e36\u4f86\u53ef\u89c0\u7bc0\u7701\u4e26\u63a8\u52d5\u66f4\u5ee3\u6cdb\u7684AI\u61c9\u7528\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n InferenceMAX \u63a1\u7528\u5e15\u96f7\u6258\u524d\u6cbf\uff08Pareto frontier\uff09\u5c55\u793a\u8cc7\u6599\u4e2d\u5fc3\u8f38\u9001\u91cf\u8207\u56de\u61c9\u6027\u7b49\u56e0\u7d20\u9593\u7684\u6700\u4f73\u6b0a\u8861\uff0c\u4e26\u6bd4\u8f03\u6548\u80fd\u3002<\/p>\n\n\n\n \u4f46\u9019\u4e0d\u50c5\u662f\u4e00\u5f35\u5716\u8868\uff0c\u5b83\u5c55\u73fe NVIDIA Blackwell \u5982\u4f55\u5728\u6210\u672c\u3001\u80fd\u6e90\u6548\u7387\u3001\u8f38\u9001\u91cf\u8207\u56de\u61c9\u6027\u7b49\u8003\u91cf\u4e2d\u53d6\u5f97\u5e73\u8861\uff0c\u5f9e\u800c\u5728\u771f\u5be6\u5de5\u4f5c\u8ca0\u8f09\u4e2d\u5be6\u73fe\u6700\u9ad8\u6295\u8cc7\u5831\u916c\u7387\u3002<\/p>\n\n\n\n \u53ea\u91dd\u5c0d\u55ae\u4e00\u5834\u666f\u6700\u4f73\u5316\u7684\u7cfb\u7d71\u96d6\u53ef\u80fd\u5728\u5b64\u7acb\u6e2c\u8a66\u4e2d\u9054\u5dd4\u5cf0\uff0c\u4f46\u7d93\u6fdf\u6027\u7121\u6cd5\u64f4\u5c55\u3002Blackwell \u7684\u5168\u7aef\u8a2d\u8a08\u5728\u5be6\u969b\u751f\u7522\u4e2d\u63d0\u4f9b\u95dc\u9375\u7684\u6548\u7387\u8207\u50f9\u503c\u3002<\/p>\n\n\n\n \u82e5\u8981\u6df1\u5165\u4e86\u89e3\u9019\u4e9b\u66f2\u7dda\u7684\u69cb\u5efa\u65b9\u5f0f\uff0c\u4ee5\u53ca\u5176\u5c0d\u7e3d\u9ad4\u64c1\u6709\u6210\u672c\u8207\u670d\u52d9\u6c34\u6e96\u5354\u8b70\u898f\u5283\u7684\u610f\u7fa9\uff0c\u53ef\u53c3\u8003\u6df1\u5ea6\u6280\u8853\u5831\u544a<\/a>\u4ee5\u67e5\u770b\u5b8c\u6574\u5716\u8868\u8207\u7814\u7a76\u65b9\u6cd5\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n Blackwell \u7684\u9818\u5148\u5730\u4f4d\u4f86\u81ea\u6975\u81f4\u7684\u786c\u9ad4\u8207\u8edf\u9ad4\u5354\u540c\u8a2d\u8a08\u3002\u9019\u662f\u4e00\u5957\u70ba\u901f\u5ea6\u3001\u6548\u7387\u8207\u898f\u6a21\u800c\u751f\u7684\u5168\u7aef\u67b6\u69cb\uff1a<\/p>\n\n\n\n \u25cf\u00a0\u00a0\u00a0Blackwell\u00a0\u67b6\u69cb\u7279\u8272\u5305\u62ec<\/strong>\uff1a<\/p>\n\n\n\n \u25cf\u00a0\u00a0\u00a0\u5e74\u5ea6\u786c\u9ad4\u66f4\u65b0\u7bc0\u594f<\/strong>\u8207\u6301\u7e8c\u8edf\u9ad4\u6700\u4f73\u5316\u3002NVIDIA\u00a0\u81ea\u767c\u8868\u4ee5\u4f86\u50c5\u900f\u904e\u8edf\u9ad4\u4fbf\u4f7f\u00a0Blackwell\u00a0\u6548\u80fd\u63d0\u5347\u5169\u500d\u4ee5\u4e0a <\/p>\n\n\n\n AI \u6b63\u5f9e\u8a66\u9ede\u968e\u6bb5\u9081\u5411 AI \u5de5\u5ee0\u6642\u4ee3\uff0c\u9019\u4e9b\u57fa\u790e\u8a2d\u65bd\u80fd\u5373\u6642\u5c07\u8cc7\u6599\u8f49\u5316\u70ba\u8a5e\u5143\u8207\u6c7a\u7b56\u3002<\/p>\n\n\n\n \u958b\u653e\u4e14\u5b9a\u671f\u66f4\u65b0\u7684\u57fa\u6e96\u6e2c\u8a66\u5354\u52a9\u5718\u968a\u5728\u6bcf\u8a5e\u5143\u6210\u672c\u3001\u5ef6\u9072\u6027\u670d\u52d9\u6c34\u6e96\u5354\u8b70\u8207\u52d5\u614b\u5de5\u4f5c\u8ca0\u8f09\u5229\u7528\u7387\u9593\u505a\u51fa\u6b63\u78ba\u5e73\u53f0\u9078\u64c7\u3002<\/p>\n\n\n\n NVIDIA \u7684 Think SMART \u67b6\u69cb\u5354\u52a9\u4f01\u696d\u9762\u5c0d\u9019\u4e00\u8f49\u8b8a<\/a>\uff0c\u8aaa\u660e NVIDIA \u5168\u7aef\u63a8\u8ad6\u5e73\u53f0\u5982\u4f55\u5c07\u6548\u80fd\u8f49\u5316\u70ba\u5be6\u969b\u6295\u8cc7\u5831\u916c\u7387\uff0c\u8b93\u8868\u73fe\u8b8a\u6210\u6536\u76ca\u3002<\/p>\n\n\n\n <\/p>\n\n\n\n \u3000\u3000\u3000\u3000<\/p>\n\n\n\n \u25cf\u00a0\u00a0\u00a0NVIDIA 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<\/figure>\n\n\n\nInferenceMAX v1 <\/strong>\u767b\u5834<\/strong><\/strong><\/h3>\n\n\n\n
\u8edf\u9ad4\u6700\u4f73\u5316\u6301\u7e8c\u63a8\u5347\u6548\u80fd<\/strong><\/strong><\/h3>\n\n\n\n
![\"\"](\"https:\/\/www.ioiotimes.com\/wordpress\/wp-content\/uploads\/2025\/10\/20251010-nvidia03.png\" "\\"\\"")
<\/figure>\n\n\n\n![\"\"](\"https:\/\/www.ioiotimes.com\/wordpress\/wp-content\/uploads\/2025\/10\/20251010-nvidia04.png\" "\\"\\"")
<\/figure>\n\n\n\n\u6548\u80fd\u6548\u7387\u5e36\u4f86\u50f9\u503c<\/strong><\/strong><\/h3>\n\n\n\n
![\"\"](\"https:\/\/www.ioiotimes.com\/wordpress\/wp-content\/uploads\/2025\/10\/20251010-nvidia05.png\" "\\"\\"")
<\/figure>\n\n\n\n![\"\"](\"https:\/\/www.ioiotimes.com\/wordpress\/wp-content\/uploads\/2025\/10\/20251010-nvidia06.png\" "\\"\\"")
<\/figure>\n\n\n\n\u591a\u7dad\u6548\u80fd<\/strong><\/strong><\/h3>\n\n\n\n
\u6210\u5c31\u95dc\u9375<\/strong><\/strong><\/h3>\n\n\n\n
\n
\u25cf\u00a0\u00a0\u00a0NVIDIA TensorRT-LLM<\/strong>\u3001NVIDIA Dynamo<\/a><\/strong>\u3001SGLang<\/strong>\u00a0\u8207\u00a0vLLM<\/strong>\u00a0\u7b49\u958b\u6e90\u63a8\u8ad6\u6846\u67b6\u7686\u7d93\u904e\u6700\u4f73\u5316\u4ee5\u5be6\u73fe\u5dd4\u5cf0\u6548\u80fd
\u25cf\u00a0\u00a0\u00a0\u9f90\u5927\u751f\u614b\u7cfb<\/strong>\uff1a\u6578\u767e\u842c\u00a0GPU\u00a0\u90e8\u7f72\u3001700\u00a0\u842c\u00a0CUDA\u00a0\u958b\u767c\u8005\uff0c\u4e26\u5c0d\u8d85\u904e\u00a01,000\u00a0\u500b\u958b\u6e90\u5c08\u6848\u8ca2\u737b<\/p>\n\n\n\n\u66f4\u5b8f\u89c0\u7684\u8996\u91ce<\/strong><\/strong><\/h3>\n\n\n\n
\ud83d\udfe6\u770b\u6587\u7ae0\u5f97Mercusys Wi-Fi 7\u8def\u7531\u5668 <\/a>
\ud83d\udfe6\u73fe\u5728\u5c31\u52a0\u5165 ioioTIMES \u81c9\u66f8\u7c89\u7d72\u5718 \u66f4\u591a\u4e92\u52d5\u3001\u66f4\u591a\u597d\u5eb7\u650f\u62b5\u52a0!!
\ud83d\udfe6\u6211\u5011\u6709LINE TODAY<\/a>\u983b\u9053\u4e86\uff0c\u5feb\u4f86\u8ffd\u8e2a\u6211\u5011\u5427!!–\u6700\u65b0\u79d1\u6280\u65b0\u805e \u76e1\u5728\u4f60<\/strong>\u624b
<\/h4>\n","protected":false},"excerpt":{"rendered":"