{"id":36389,"date":"2025-01-10T14:00:11","date_gmt":"2025-01-10T06:00:11","guid":{"rendered":"https:\/\/17aitech.com\/?p=36389"},"modified":"2025-01-10T14:00:11","modified_gmt":"2025-01-10T06:00:11","slug":"%e4%b8%b9%e9%ba%a6%e9%a6%96%e5%8f%b0ai%e8%b6%85%e7%ba%a7%e8%ae%a1%e7%ae%97%e6%9c%ba%ef%bc%8cnvidia%e6%8a%80%e6%9c%af%e5%8a%a0%e6%8c%81%ef%bc%8c%e6%9c%8d%e5%8a%a1%e4%ba%8e%e9%87%8f%e5%ad%90%e8%ae%a1","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=36389","title":{"rendered":"\u4e39\u9ea6\u9996\u53f0AI\u8d85\u7ea7\u8ba1\u7b97\u673a\uff0cNVIDIA\u6280\u672f\u52a0\u6301\uff0c\u670d\u52a1\u4e8e\u91cf\u5b50\u8ba1\u7b97\u3001\u6e05\u6d01\u80fd\u6e90\u3001\u751f\u7269\u6280\u672f\u7b49\u9886\u57df"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u4e39\u9ea6\u9996\u53f0AI\u8d85\u7ea7\u8ba1\u7b97\u673a\uff0cNVIDIA\u6280\u672f\u52a0\u6301\uff0c\u670d\u52a1\u4e8e\u91cf\u5b50\u8ba1\u7b97\u3001\u6e05\u6d01\u80fd\u6e90\u3001\u751f\u7269\u6280\u672f\u7b49\u9886\u57df<\/a><\/p>\n

<\/a><\/p>\n

\u7f16\u8f91 | \u841d\u535c\u76ae<\/p>\n

2024 \u5e74 10 \u6708 23 \u65e5 NVIDIA \u521b\u59cb\u4eba\u517c\u9996\u5e2d\u6267\u884c\u5b98\u9ec4\u4ec1\u52cb\u643a\u624b\u4e39\u9ea6\u56fd\u738b\u542f\u52a8\u8be5\u56fd\u6700\u5927 AI \u8d85\u7ea7\u8ba1\u7b97\u673a\uff0c\u65e8\u5728\u5b9e\u73b0\u91cf\u5b50\u8ba1\u7b97<\/mark>\u3001\u6e05\u6d01\u80fd\u6e90\u3001\u751f\u7269\u6280\u672f\u7b49\u9886\u57df\u7684\u7a81\u7834\uff0c\u670d\u52a1\u4e39\u9ea6\u793e\u4f1a\u4e43\u81f3\u5168\u7403\u3002<\/p>\n

\u4e39\u9ea6\u9996\u53f0 AI \u8d85\u7ea7\u8ba1\u7b97\u673a\u4ee5\u4e39\u9ea6\u795e\u8bdd\u4e2d\u7684\u5973\u795e\u547d\u540d\u4e3a Gefion\u3002<\/p>\n

Gefion \u7531\u4e39\u9ea6\u4eba\u5de5\u667a\u80fd<\/mark>\u521b\u65b0\u4e2d\u5fc3 (DCAI) \u8fd0\u8425\uff0c\u8be5\u516c\u53f8\u7531\u5168\u7403\u6700\u5bcc\u6709\u7684\u6148\u5584\u57fa\u91d1\u4f1a\u00a0Novo Nordisk\u00a0\u57fa\u91d1\u4f1a\u548c\u4e39\u9ea6\u51fa\u53e3\u4e0e\u6295\u8d44\u57fa\u91d1\u8d44\u52a9\u6210\u7acb\u3002<\/p>\n

\u4e39\u9ea6\u56fd\u738b Frederik \u5341\u4e16\u3001\u9ec4\u4ec1\u52cb\u548c DCAI \u9996\u5e2d\u6267\u884c\u5b98 Nadia Carlsten \u5728\u54e5\u672c\u54c8\u6839\u7684\u4e00\u573a\u6d3b\u52a8\u4e2d\u8c61\u5f81\u6027\u5730\u542f\u52a8\u4e86\u8fd9\u53f0\u65b0\u7684 AI \u8d85\u7ea7\u8ba1\u7b97\u673a\u3002<\/p>\n

\u9ec4\u4ec1\u52cb\u540c\u91cf\u5b50\u8ba1\u7b97<\/mark>\u884c\u4e1a\u9886\u8896 Carlsten \u5750\u4e0b\u6765\u8ba8\u8bba\u4e0e NVIDIA \u5408\u4f5c\u6253\u9020\u4e16\u754c\u4e0a\u6700\u5feb\u7684 AI \u8d85\u7ea7\u8ba1\u7b97\u673a\u4e4b\u4e00\u7684\u5408\u4f5c\u8ba1\u5212\u3002<\/p>\n

\n

<\/a><\/a><\/p>\n<\/section>\n

\u89c6\u9891\uff1a\u4e0e NVIDIA \u521b\u59cb\u4eba\u517c\u9996\u5e2d\u6267\u884c\u5b98\u9ec4\u4ec1\u52cb\u7684\u7089\u8fb9\u8c08\u8bdd\u3002\uff08\u6765\u6e90\uff1aNVIDIA\uff09<\/p>\n

\u94fe\u63a5\uff1ahttps:\/\/mp.weixin.qq.com\/s\/sYfaW2VHvhhk3D278h47nw<\/a><\/p>\n

\u5173\u4e8e Gefion<\/strong><\/p>\n

Gefion \u662f\u4e00\u53f0 NVIDIA DGX SuperPOD AI \u8d85\u7ea7\u8ba1\u7b97\u673a\uff0c\u7531 1,528 \u4e2a NVIDIA H100 Tensor Core GPU \u9a71\u52a8\uff0c\u5e76\u4f7f\u7528 NVIDIA Quantum-2 InfiniBand \u7f51\u7edc\u4e92\u8fde\u3002<\/p>\n

<\/a><\/p>\n

\u56fe\u793a\uff1aNVIDIA DGX SuperPOD\u3002\uff08\u6765\u6e90\uff1aNVIDIA\uff09<\/p>\n

\u5728\u6b64\u4e4b\u524d\uff0c\u4e39\u9ea6\u8fd8\u6ca1\u6709 GPU \u52a0\u901f\u7684\u8d85\u7ea7\u8ba1\u7b97\u673a\uff0c\u4e0e\u5168\u56fd\u5404\u5730\u76f8\u5173\u5229\u76ca\u76f8\u5173\u8005\u8fdb\u884c\u7684\u5168\u9762\u54a8\u8be2\u8fc7\u7a0b\u8868\u660e\uff0c\u83b7\u53d6\u8ba1\u7b97\u80fd\u529b\u662f\u963b\u788d\u4e39\u9ea6\u84ec\u52c3\u53d1\u5c55\u7684 AI \u7814\u7a76\u751f\u6001\u7cfb\u7edf\u53d6\u5f97\u8fdb\u5c55\u7684\u4e3b\u8981\u969c\u788d\u3002<\/p>\n

\u5f97\u76ca\u4e8e\u5176\u5927\u89c4\u6a21\u5e76\u884c\u5904\u7406\u80fd\u529b\uff0c\u968f\u7740\u6df1\u5ea6\u5b66\u4e60<\/mark>\u548c\u751f\u6210\u5f0f AI \u6a21\u578b\u7684\u51fa\u73b0\uff0cGPU \u5728\u8fc7\u53bb\u5341\u5e74\u4e2d\u5448\u73b0\u7206\u70b8\u5f0f\u589e\u957f\uff0c\u8fd9\u4e9b\u6a21\u578b\u5728\u8fd9\u4e9b\u5904\u7406\u5668\u4e0a\u7684\u8fd0\u884c\u901f\u5ea6\u6bd4\u5728\u901a\u7528 CPU \u4e0a\u8981\u5feb\u5f97\u591a\u3001\u6548\u7387\u9ad8\u5f97\u591a\u3002<\/p>\n

<\/a><\/p>\n

\u56fe\u793a\uff1aNVIDIA Quantum-2 InfiniBand\u3002\uff08\u6765\u6e90\uff1aNVIDIA\uff09<\/p>\n

\u5168\u7403\u6570\u636e\u4e2d\u5fc3\u63d0\u4f9b\u5546 Digital Realty \u5c06\u8fd9\u53f0\u8d85\u7ea7\u8ba1\u7b97\u673a\u6258\u7ba1\u5728\u5176\u4f4d\u4e8e\u4e39\u9ea6\u7684 AI \u6570\u636e\u4e2d\u5fc3\u8bbe\u65bd\u4e4b\u4e00\u4e2d\u3002\u8be5\u6570\u636e\u4e2d\u5fc3\u7684\u8bbe\u8ba1\u548c\u5efa\u9020\u5747\u9075\u5faa\u53ef\u6301\u7eed\u53d1\u5c55\u539f\u5219\uff0c\u5e76\u91c7\u7528 100% \u53ef\u518d\u751f\u80fd\u6e90\u8fd0\u884c\u3002\u6b27\u6d32\u9ad8\u6027\u80fd\u8ba1\u7b97 (HPC) \u9886\u5bfc\u8005 Eviden \u5229\u7528\u5176\u5728 HPC \u96c6\u6210\u548c\u5b89\u88c5\u65b9\u9762\u7684\u4e30\u5bcc\u7ecf\u9a8c\u548c\u4e13\u4e1a\u77e5\u8bc6\u7ec4\u88c5\u5e76\u5b89\u88c5\u4e86\u8fd9\u53f0\u8ba1\u7b97\u673a\u3002<\/p>\n

\u300cGefion \u5c06\u6210\u4e3a\u4e00\u4e2a\u667a\u80fd\u5de5\u5382\u3002\u8fd9\u662f\u4e00\u4e2a\u524d\u6240\u672a\u6709\u7684\u65b0\u884c\u4e1a\u3002\u5b83\u4f4d\u4e8e IT \u884c\u4e1a\u7684\u9876\u7aef\u3002\u6211\u4eec\u6b63\u5728\u53d1\u660e\u4e00\u4e9b\u5168\u65b0\u7684\u4e1c\u897f\u3002\u300d\u9ec4\u4ec1\u52cb\u8bf4\u3002<\/p>\n

\u8fd9\u53f0\u65b0\u578b\u8d85\u7ea7\u8ba1\u7b97\u673a\u6709\u671b\u901a\u8fc7\u6d1e\u5bdf\u4f20\u67d3\u75c5\u3001\u6c14\u5019\u53d8\u5316\u548c\u7cae\u98df\u5b89\u5168\u6765\u5e94\u5bf9\u5168\u7403\u6311\u6218\u3002Gefion \u76ee\u524d\u6b63\u5728\u4e3a\u7528\u6237\u505a\u51c6\u5907\uff0c\u8bd5\u70b9\u9636\u6bb5\u5c06\u5f15\u5165\u65e8\u5728\u5229\u7528\u4eba\u5de5\u667a\u80fd<\/mark>\u52a0\u901f\u8fdb\u6b65\u7684\u9879\u76ee\uff0c\u5305\u62ec\u91cf\u5b50\u8ba1\u7b97<\/mark>\u3001\u836f\u7269\u7814\u53d1\u548c\u80fd\u6e90\u6548\u7387\u7b49\u9886\u57df\u3002<\/p>\n

\u300c\u8ba1\u7b97\u673a\u8f85\u52a9\u836f\u7269\u7814\u53d1\u7684\u65f6\u4ee3\u5fc5\u5b9a\u4f1a\u5728\u5341\u5e74\u5185\u5230\u6765\u3002\u6211\u5e0c\u671b\u8ba1\u7b97\u673a\u5bf9\u79d1\u6280\u884c\u4e1a\u7684\u5f71\u54cd\uff0c\u4e5f\u80fd\u5bf9\u6570\u5b57\u751f\u7269\u5b66\u4ea7\u751f\u5f71\u54cd\u3002\u300d\u9ec4\u4ec1\u52cb\u8bf4\u3002<\/p>\n

\u5229\u7528 Gefion \u5bfb\u6c42\u8fdb\u4e00\u6b65\u7a81\u7834<\/strong><\/p>\n

\u4e39\u9ea6\u6c14\u8c61\u7814\u7a76\u6240 (DMI) \u6b63\u5728\u5f00\u5c55\u8bd5\u70b9\uff0c\u65e8\u5728\u63d0\u4f9b\u66f4\u5feb\u3001\u66f4\u51c6\u786e\u7684\u5929\u6c14\u9884\u62a5\u3002\u4e0e\u4f20\u7edf\u65b9\u6cd5\u76f8\u6bd4\uff0c\u5b83\u627f\u8bfa\u5c06\u9884\u62a5\u65f6\u95f4\u4ece\u51e0\u5c0f\u65f6\u7f29\u77ed\u5230\u51e0\u5206\u949f\uff0c\u540c\u65f6\u5927\u5927\u51cf\u5c11\u8fd9\u4e9b\u9884\u62a5\u6240\u9700\u7684\u80fd\u6e90\u6d88\u8017\u3002<\/p>\n

\u54e5\u672c\u54c8\u6839\u5927\u5b66\u7684\u7814\u7a76\u4eba\u5458\u6b63\u5728\u5229\u7528 Gefion \u5b9e\u73b0\u5e76\u6267\u884c\u5927\u89c4\u6a21\u5206\u5e03\u5f0f\u91cf\u5b50\u8ba1\u7b97<\/mark>\u673a\u7535\u8def\u6a21\u62df\u3002Gefion \u4f7f\u6a21\u62df\u7cfb\u7edf\u80fd\u591f\u4ece 36 \u4e2a\u7ea0\u7f20\u91cf\u5b50\u6bd4\u7279\u589e\u52a0\u5230 40 \u4e2a\uff0c\u8fd9\u4f7f\u5176\u63a5\u8fd1\u6240\u8c13\u7684\u300c\u91cf\u5b50\u9738\u6743\u300d\uff0c\u5373\u5728\u4f7f\u7528\u66f4\u5c11\u8d44\u6e90\u7684\u60c5\u51b5\u4e0b\u6027\u80fd\u8d85\u8d8a\u4f20\u7edf\u8ba1\u7b97\u673a\u3002<\/p>\n

\u54e5\u672c\u54c8\u6839\u5927\u5b66\u3001\u4e39\u9ea6\u6280\u672f\u5927\u5b66\u3001Novo Nordisk \u548c Novonesis \u6b63\u5728\u5408\u4f5c\u5f00\u53d1\u4e00\u79cd\u591a\u6a21\u6001\u57fa\u56e0\u7ec4\u57fa\u7840\u6a21\u578b\uff0c\u7528\u4e8e\u75be\u75c5\u7a81\u53d8\u5206\u6790\u548c\u75ab\u82d7\u8bbe\u8ba1\u65b9\u9762\u7684\u53d1\u73b0\u3002\u4ed6\u4eec\u7684\u6a21\u578b\u5c06\u7528\u4e8e\u6539\u8fdb\u4fe1\u53f7\u68c0\u6d4b\u548c\u57fa\u56e0\u7ec4\u7684\u529f\u80fd\u7406\u89e3\uff0c\u8fd9\u5f97\u76ca\u4e8e\u5728 Gefion \u4e0a\u8bad\u7ec3 LLM \u7684\u80fd\u529b\u3002<\/p>\n

\u521d\u521b\u516c\u53f8 Go Autonomous \u5e0c\u671b\u5728 Gefion \u4e0a\u8fdb\u884c\u8bad\u7ec3\uff0c\u4ee5\u5f00\u53d1\u4e00\u79cd\u80fd\u591f\u7406\u89e3\u548c\u4f7f\u7528\u6765\u81ea\u6587\u672c\u3001\u5e03\u5c40\u548c\u56fe\u50cf\u7684\u591a\u6a21\u5f0f\u8f93\u5165\u7684 AI \u6a21\u578b\u3002\u53e6\u4e00\u5bb6\u521d\u521b\u516c\u53f8 Teton \u6b63\u5728\u4f7f\u7528 Gefion \u6784\u5efa\u4e00\u6b3e\u5177\u6709\u5927\u578b\u89c6\u9891\u9884\u8bad\u7ec3\u529f\u80fd\u7684 AI Care Companion\u3002<\/p>\n

\u5229\u7528\u9886\u5148\u7684\u8d85\u7ea7\u8ba1\u7b97\u673a\u5e94\u5bf9\u5168\u7403\u6311\u6218<\/strong><\/p>\n

Gefion \u8d85\u7ea7\u8ba1\u7b97\u673a\u548c\u4e0e NVIDIA \u7684\u6301\u7eed\u5408\u4f5c\u5c06\u4f7f\u4e39\u9ea6\u53ca\u5176\u77e5\u540d\u7684\u7814\u7a76\u56e2\u4f53\u6709\u80fd\u529b\u5e94\u5bf9\u5177\u6709\u5de8\u5927\u793e\u4f1a\u5f71\u54cd\u7684\u4e16\u754c\u9886\u5148\u79d1\u5b66\u6311\u6218\u4ee5\u53ca\u8de8\u884c\u4e1a\u7684\u5927\u578b\u9879\u76ee\u3002<\/p>\n

\u501f\u52a9 Gefion\uff0c\u7814\u7a76\u4eba\u5458\u5c06\u80fd\u591f\u4e0e NVIDIA \u7684\u884c\u4e1a\u4e13\u5bb6\u5408\u4f5c\uff0c\u5171\u540c\u5f00\u53d1\u590d\u6742\u95ee\u9898\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u5305\u62ec\u4f7f\u7528 NVIDIA BioNeMo \u5e73\u53f0\u8fdb\u884c\u5236\u836f\u548c\u751f\u7269\u6280\u672f\u7814\u7a76\u4ee5\u53ca\u86cb\u767d\u8d28\u8bbe\u8ba1\u3002<\/p>\n

\u79d1\u5b66\u5bb6\u8fd8\u5c06\u4e0e NVIDIA \u5408\u4f5c\uff0c\u5229\u7528\u5f00\u6e90\u6df7\u5408\u91cf\u5b50\u8ba1\u7b97<\/mark>\u5e73\u53f0 NVIDIA CUDA-Q \u8fdb\u884c\u5bb9\u9519\u91cf\u5b50\u8ba1\u7b97<\/mark>\u3002<\/p>\n

BioNeMo\uff1ahttps:\/\/www.nvidia.com\/en-us\/clara\/bionemo\/<\/em><\/p>\n

CUDA-Q\uff1ahttps:\/\/developer.nvidia.com\/cuda-q<\/em><\/p>\n

\u7ed3\u8bed<\/strong><\/p>\n

\u300cGefion \u7684\u5efa\u7acb\u662f\u4e00\u4e2a\u91cc\u7a0b\u7891\uff0c\u5b83\u975e\u5e38\u7b26\u5408 Novo Nordisk \u57fa\u91d1\u4f1a\u6539\u5584\u4eba\u4eec\u5065\u5eb7\u4ee5\u53ca\u793e\u4f1a\u548c\u5730\u7403\u53ef\u6301\u7eed\u6027\u7684\u613f\u666f\uff0c\u56e0\u4e3a\u5b83\u521b\u9020\u4e86\u65b0\u7684\u673a\u9047\u5e76\u53ef\u4ee5\u52a0\u901f\u5bfb\u627e\u5e94\u5bf9\u7d27\u8feb\u6311\u6218\u7684\u65b0\u89e3\u51b3\u65b9\u6848\u3002\u300dNovo Nordisk \u57fa\u91d1\u4f1a\u9996\u5e2d\u6267\u884c\u5b98 Mads Krogsgaard Thomsen \u8868\u793a\uff0c\u300c\u672a\u6765\uff0c\u5982\u679c\u6211\u4eec\u8981\u89e3\u51b3\u6211\u4eec\u81ea\u5df1\u56fd\u5bb6\u4e43\u81f3\u5730\u7403\u9762\u4e34\u7684\u5de8\u5927\u6311\u6218\uff0c\u5c31\u5fc5\u987b\u4e0e\u4e16\u754c\u5404\u5730\u7684\u4f18\u79c0\u4f19\u4f34\u8fdb\u884c\u66f4\u591a\u5408\u4f5c\u3002\u300d<\/p>\n

\u4e39\u9ea6\u51fa\u53e3\u548c\u6295\u8d44\u57fa\u91d1\u5728\u6df1\u5ea6\u79d1\u6280\u65b9\u9762\u6295\u5165\u4e86\u5de8\u8d44\uff0c\u4e0e Novo Nordisk \u57fa\u91d1\u4f1a\u5728\u6df1\u5ea6\u4eba\u5de5\u667a\u80fd<\/mark>\u65b9\u9762\u7684\u5408\u4f5c\u4ee3\u8868\u4e86\u5176\u5bf9\u4eba\u5de5\u667a\u80fd<\/mark>\u3001\u91cf\u5b50\u8ba1\u7b97<\/mark>\u3001\u7eff\u8272\u8f6c\u578b\u3001\u751f\u547d\u79d1\u5b66\u548c\u7814\u7a76\u5546\u4e1a\u5316\u7684\u6218\u7565\u91cd\u70b9\u3002<\/p>\n

\u300c\u4e39\u9ea6\u5df2\u7ecf\u662f\u4eba\u5de5\u667a\u80fd<\/mark>\u7814\u7a76\u548c\u4e1a\u52a1\u53d1\u5c55\u7684\u91cd\u8981\u53c2\u4e0e\u8005\uff0c\u4f46\u6211\u4eec\u76f8\u4fe1 Gefion \u5c06\u52a0\u901f\u8fd9\u4e00\u8fdb\u7a0b\u3002\u300dEIFO \u9996\u5e2d\u6267\u884c\u5b98 Peder Lundquist \u8868\u793a\uff0c\u300c\u6211\u4eec\u5bf9 DCAI \u7684\u6295\u8d44\u5c06\u652f\u6301\u4e39\u9ea6\u4f01\u4e1a\u5728\u7eff\u8272\u8f6c\u578b\u548c\u751f\u547d\u79d1\u5b66\u7b49\u9886\u57df\u7684\u53d1\u5c55\uff0c\u540c\u65f6\u52a0\u901f\u7814\u7a76\u7684\u5546\u4e1a\u5316\u3002\u6211\u4eec\u7684\u613f\u671b\u662f\u521b\u9020\u4e00\u4e2a\u9886\u5148\u65f6\u4ee3\u7684\u6df1\u5ea6\u79d1\u6280\u751f\u6001\u7cfb\u7edf\u3002\u300d<\/p>\n

\u300cGefion \u4e3a\u6211\u4eec\u7684\u4e39\u9ea6\u4f01\u4e1a\u63d0\u4f9b\u4e86\u5168\u65b0\u7684\u673a\u9047\u3002\u300d\u4e39\u9ea6\u5de5\u4e1a\u3001\u5546\u4e1a\u548c\u91d1\u878d\u4e8b\u52a1\u90e8\u957f Morten B\u00f8dskov \u8868\u793a\u3002<\/p>\n

\u300cGefion \u5c06\u63a8\u52a8\u7eff\u8272\u8f6c\u578b\u7684\u8fdb\u6b65\uff0c\u63d0\u4f9b\u91cf\u8eab\u5b9a\u5236\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u5e76\u52a0\u5f3a\u6211\u4eec\u516c\u53f8\u5728\u5168\u7403\u5e02\u573a\u7684\u7ade\u4e89\u5730\u4f4d\u3002\u5728\u56fd\u9645\u7ade\u4e89\u65e5\u76ca\u6fc0\u70c8\u7684\u65f6\u4ee3\uff0c\u8fd9\u53f0\u8d85\u7ea7\u8ba1\u7b97\u673a\u662f\u63a8\u52a8\u4e39\u9ea6\u4f01\u4e1a\u8d70\u5411\u672a\u6765\u7684\u91cd\u8981\u63a8\u52a8\u529b\u3002\u8fd9\u9879\u7a81\u7834\u6027\u6280\u672f\u4e3a\u4e39\u9ea6\u4f01\u4e1a\u548c\u7814\u7a76\u4eba\u5458\u63d0\u4f9b\u4e86\u4e00\u4e2a\u91cd\u8981\u7684\u673a\u4f1a\uff0c\u5e2e\u52a9\u4ed6\u4eec\u5f00\u53d1\u521b\u65b0\u89e3\u51b3\u65b9\u6848\u4ee5\u5e94\u5bf9\u672a\u6765\u7684\u6311\u6218\u3002\u300dB\u00f8dskov \u8bf4\u3002<\/p>\n

\u7b2c\u4e00\u6279\u8bd5\u70b9\u9879\u76ee<\/strong><\/p>\n

\u300c\u7528\u4e8e\u91cf\u5316<\/mark>\u5206\u5b50\u8bc6\u522b\u8fc7\u7a0b\u7684\u91cf\u5b50\u7b97\u6cd5\u7684\u5927\u89c4\u6a21\u5206\u5e03\u5f0f\u6a21\u62df\uff08Large-scale distributed simulation of quantum algorithms for quantifying molecular recognition processes\uff09\u3002\u300d<\/p>\n

\u5355\u4f4d\uff1a\u54e5\u672c\u54c8\u6839\u5927\u5b66<\/p>\n

\u300c\u5229\u7528\u673a\u5668\u5b66\u4e60<\/mark>\u529b\u573a\u63ed\u793a\u975e\u91d1\u5c5e\u7532\u9178\u76d0\u8131\u6c22\u9176 (FDH) \u4e2d\u7684\u4e8c\u6c27\u5316\u78b3\u8fd8\u539f\uff08Unravelling CO2 reduction in Non-Metal Formate Dehydrogenase (FDH) using Machine-Learned Force Fields\uff09\u3002\u300d<\/p>\n

\u5355\u4f4d\uff1a\u4e39\u9ea6\u6280\u672f\u5927\u5b66<\/p>\n

\u300c\u591a\u6a21\u6001\u57fa\u56e0\u7ec4\u57fa\u7840\u6a21\u578b\uff08Multimodal genomic foundation model\uff09\u300d<\/p>\n

\u5355\u4f4d\uff1a\u54e5\u672c\u54c8\u6839\u5927\u5b66<\/p>\n

\u300c\u591a\u6a21\u6001\u6587\u6863\u7406\u89e3\uff1a\u4ee5\u591a\u6a21\u6001\u7cbe\u5ea6\u8f6c\u6362\u6570\u636e\u8f93\u5165\uff08Multi-Modal Document Understanding: Transforming Data Entry with Multi-Modal Precision\uff09\u3002\u300d<\/p>\n

\u5355\u4f4d\uff1aGo Autonomous<\/p>\n

\u300c\u901a\u8fc7\u5927\u578b\u89c6\u9891\u9884\u8bad\u7ec3\u6784\u5efa AI \u62a4\u7406\u4f34\u4fa3\uff08Building an AI Care Companion with Large Video Pretraining\uff09\u3002\u300d<\/p>\n

\u5355\u4f4d\uff1aTeton \u548c\u54e5\u672c\u54c8\u6839\u5927\u5b66<\/p>\n

\u300cSAPIEN \u2013 \u5229\u7528\u667a\u80fd\u73af\u5883\u7f51\u7edc\u8fdb\u884c\u719f\u7ec3\u7684\u5927\u6c14\u9884\u6d4b\uff08SAPIEN \u2013 Skilful Atmospheric Prediction with Intelligent Environmental Networks\uff09\u3002\u300d<\/p>\n

\u5355\u4f4d\uff1a\u4e39\u9ea6\u6c14\u8c61\u7814\u7a76\u6240<\/p>\n

\u76f8\u5173\u5185\u5bb9\uff1a<\/p>\n

https:\/\/blogs.nvidia.com\/blog\/denmark-sovereign-ai-supercomputer\/<\/em><\/p>\n

https:\/\/novonordiskfonden.dk\/en\/news\/denmarks-first-ai-supercomputer-is-now-operational\/<\/em><\/p>\n

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