{"id":266158,"date":"2017-09-08T11:30:00","date_gmt":"2017-09-08T09:30:00","guid":{"rendered":"https:\/\/cms.galaxiemedia.fr\/tomshardware\/2017\/09\/08\/nvidia-a-vendu-son-premier-dgx-1v-960-tflops-pour-149-000-dollars\/"},"modified":"2023-06-22T18:16:31","modified_gmt":"2023-06-22T16:16:31","slug":"nvidia-a-vendu-son-premier-dgx-1v-960-tflops-pour-149-000-dollars","status":"publish","type":"post","link":"https:\/\/www.tomshardware.fr\/nvidia-a-vendu-son-premier-dgx-1v-960-tflops-pour-149-000-dollars\/","title":{"rendered":"NVIDIA a vendu son premier DGX-1V : 960 TFLOPS pour 149 000 dollars !"},"content":{"rendered":"

\"ImageUn unboxing \u00e0 149 000 dollars !<\/span><\/span><\/span><\/span><\/span><\/p>\n

L’intelligence artificielle et le Deep Learning sont des termes que l’on trouve actuellement sur toutes les l\u00e8vres, ou presque. NVIDIA semble bien d\u00e9cid\u00e9 \u00e0 s’imposer comme un des leaders du march\u00e9 avec ses syst\u00e8mes d\u00e9di\u00e9s DGX-1 – lanc\u00e9 en d\u00e9cembre dernier – et DGX-1V, tout juste sorti des cartons. Le MGH & BWH Center for Clinical Data Science (CCDS), un institut de recherche sur les applications d’intelligence artificielle et de Deep Learning en soins de sant\u00e9, est le premier \u00e0 recevoir \u00ab son \u00bb DGX-1V, achet\u00e9 pour la modique somme de 149 000 dollars (hors taxes).<\/p>\n

Jusqu’\u00e0 960 TFLOPS gr\u00e2ce aux Tensors Core<\/h3>\n

\u00c9volution du DGX-1 dot\u00e9 de puces \u00e0 architecture Pascal, le DGX-1V embarque huit cartes Tesla V100 bas\u00e9es sur la r\u00e9cente architecture Volta du constructeur. C\u00f4t\u00e9 performances, on passe donc de 170 TFLOPS en FP16 \u00e0 240 TFLOPS, et m\u00eame jusqu’\u00e0 960 TFLOPS en Deep Learning gr\u00e2ce aux nouveaux Tensors Core de l’architecture Volta.<\/p>\n

Le reste du syst\u00e8me reste similaire \u00e0 la version Broadwell-EP du DGX-1, avec deux CPU Xeon, 512 Go de m\u00e9moire vive pour le syst\u00e8me et quatre SSD de 2 To. L’ensemble a besoin de plusieurs alimentations pour fonctionner, d’une puissance totale maximale de 3200W !<\/p>\n

\"Image<\/span><\/span><\/span><\/span><\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/th>\nDGX-1
\t\t\t(Volta) \t\t\t<\/th>\n		DGX-1
\t\t\t(Pascal) \t\t\t<\/th>\n		DGX-1
\t\t\t(Pascal, premi\u00e8re version) \t\t\t<\/th>\n		DGX Station \t\t<\/th>\n<\/tr>\n
Configuration GPU
<\/strong><\/td>\n		8x Tesla V100<\/td>\n8x Tesla P100<\/td>\n4x Tesla V100<\/td>\n<\/tr>\n
GPU FP16 Compute<\/strong><\/th>\nG\u00e9n\u00e9ral<\/strong><\/td>\n240 TFLOPS<\/td>\n170 TFLOPS<\/td>\n120 TFLOPS
\t\t\t\u00a0<\/td>\n<\/tr>\n
Deep Learning<\/strong><\/td>\n960 TFLOPS<\/td>\n480 TFLOPS<\/td>\n<\/tr>\n
Configuration CPU
<\/strong><\/td>\n		2x Intel Xeon E5-2698 v4
\t\t\t(20-core, Broadwell-EP)<\/td>\n		2x Intel Xeon E5-2698 v3
\t\t\t(16 core, Haswell-EP)<\/td>\n		1x Intel Xeon E5-2698 v4
\t\t\t(20-core, Broadwell-EP)<\/td>\n<\/tr>\n
M\u00e9moire syst\u00e8me
<\/strong><\/td>\n		512 Go DDR4-2133
\t\t\t(LRDIMM)<\/td>\n		256 Go DDR4
\t\t\t(LRDIMM)<\/td>\n<\/tr>\n
M\u00e9moire GPU totale
<\/strong><\/td>\n		128 Go HBM2
\t\t\t(8x 16Go)<\/td>\n		64 Go HBM2
\t\t\t(4x 16Go)<\/td>\n<\/tr>\n
Stockage<\/strong><\/td>\n4x 1.92 To SSD RAID 0<\/td>\nOS: 1x 1.92 To SSD<\/p>\n

\t\t\tDonn\u00e9es: 3x 1.92 To SSD RAID 0<\/td>\n<\/tr>\n

R\u00e9seau<\/strong><\/td>\nDual 10GbE
\t\t\t4 InfiniBand EDR<\/td>\n		Dual 10Gb LAN<\/td>\n<\/tr>\n
Alimentation<\/strong><\/td>\n3200W<\/td>\n1500W<\/td>\n<\/tr>\n
Dimensions<\/strong><\/td>\n866mm x 444mm x 131mm
\t\t\t(3U)<\/td>\n		518mm x 256mm x 639mm
\t\t\t(Tour)<\/td>\n<\/tr>\n
Divers<\/strong><\/td>\nUbuntu Linux Host OS
DGX Software Stack<\/td>\n		Ubuntu Desktop Linux OS
DGX Software Stack
3x DisplayPort<\/td>\n<\/tr>\n
Prix<\/strong><\/td>\n149 000$<\/td>\nVariable<\/td>\n129 000$<\/td>\n69 000 $<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n","protected":false},"excerpt":{"rendered":"

Et un Neural Net CPU, c'est combien de TFLOPS ?<\/p>","protected":false},"author":9,"featured_media":266159,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"ep_exclude_from_search":false,"footnotes":""},"categories":[487,4071],"tags":[538,1026],"hubs":[],"acf":{"post_show_excerpt":true,"post_source":{"title":"Anandtech","url":"http:\/\/www.anandtech.com\/show\/11824\/nvidia-ships-first-volta-dgx-systems","target":""}},"yoast_head":"\nNVIDIA a vendu son premier DGX-1V : 960 TFLOPS pour 149 000 dollars !<\/title>\n<meta name=\"description\" content=\"Et un Neural Net CPU, c'est combien de TFLOPS ?\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.tomshardware.fr\/nvidia-a-vendu-son-premier-dgx-1v-960-tflops-pour-149-000-dollars\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta 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