{"id":698038,"date":"2022-01-19T13:15:00","date_gmt":"2022-01-19T12:15:00","guid":{"rendered":"https:\/\/www.tomshardware.fr\/?p=698038"},"modified":"2023-06-22T17:19:27","modified_gmt":"2023-06-22T15:19:27","slug":"nvidia-deploie-le-gsp-pour-booster-les-performances-de-certains-gpu","status":"publish","type":"post","link":"https:\/\/www.tomshardware.fr\/nvidia-deploie-le-gsp-pour-booster-les-performances-de-certains-gpu\/","title":{"rendered":"NVIDIA d\u00e9ploie le GSP pour booster les performances avec certains GPU"},"content":{"rendered":"\n<p>NVIDIA commence \u00e0 d\u00e9ployer sa fonctionnalit\u00e9 GSP (<em>GPU System Processor<\/em>) pour certains GPU avec ses pilotes 510.39. Pour l\u2019instant, la prise en charge concerne les GPU Tesla T4 et ceux de s\u00e9rie A (A100, A40, A30 A16, et A2).<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><a href=\"https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-1024x576.jpg\"><img alt=\"Image 1 : NVIDIA d\u00e9ploie le GSP pour booster les performances avec certains GPU\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-1024x576.jpg\" alt=\"\" class=\"wp-image-698040\" srcset=\"https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-1024x576.jpg 1024w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-300x169.jpg 300w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-150x84.jpg 150w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-200x113.jpg 200w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-250x141.jpg 250w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-350x197.jpg 350w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-400x225.jpg 400w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-450x253.jpg 450w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-500x281.jpg 500w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-550x310.jpg 550w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-600x338.jpg 600w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-640x360.jpg 640w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-710x400.jpg 710w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1-755x425.jpg 755w, https:\/\/www.tomshardware.fr\/content\/uploads\/sites\/3\/2022\/01\/nvidia1.jpg 1258w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure><\/div>\n\n\n\n<p>S\u2019il se limite pour l\u2019instant \u00e0 des GPU Turing et Ampere utilis\u00e9s par des entreprises, le GSP pourrait d\u00e9barquer sur des solutions grand public dans quelques semaines ou mois, notamment des ordinateurs portables Max-Q.<br>NVIDIA explique le proc\u00e9d\u00e9 ainsi&nbsp;:<\/p>\n\n\n\n<p><em>&#8220;Certains GPU incluent un processeur syst\u00e8me GPU (GSP) qui peut \u00eatre utilis\u00e9 pour d\u00e9charger les t\u00e2ches d&#8217;initialisation et de gestion du GPU. Ce processeur est pilot\u00e9 par le fichier de firmware \/lib\/firmware\/nvidia\/510.39.01\/gsp.bin. Quelques produits s\u00e9lectionn\u00e9s utilisent actuellement le GSP par d\u00e9faut, et d&#8217;autres produits tireront parti du GSP dans les prochaines versions des pilotes.<\/em><\/p>\n\n\n\n<p><em>Le d\u00e9chargement de t\u00e2ches qui \u00e9taient traditionnellement effectu\u00e9es par le pilote sur le CPU peut am\u00e9liorer les performances en raison de la plus faible latence des composants internes du GPU.&#8221;<\/em><\/p>\n\n\n\n<p>L\u2019entreprise a \u00e9galement publi\u00e9 une vid\u00e9o pour Max-Q. L\u2019appellation diff\u00e8re l\u00e9g\u00e8rement puisqu\u2019il est question d\u2019un &#8220;command processor&#8221; mais le principe semble le m\u00eame.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"responsive-container embed-youtube-com\"><iframe title=\"NVIDIA Max-Q | CPU Optimizer Explained\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/aI983XG5EfU?start=126&#038;feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n\n\n\n<p>Pour l\u2019instant NVIDIA ne communique aucun gain de performance concret. La soci\u00e9t\u00e9 fournira certainement plus de donn\u00e9es dans les prochains mois.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">GPU pris en charge<\/h2>\n\n\n\n<p>La liste exhaustive des produits prenant en charge le GSP actuellement est disponible ci-dessous.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><div class=\"table-wrapper\"><table><tbody><tr><td><strong>NVIDIA GPU product<\/strong><\/td><td><strong>Device PCI ID<\/strong><\/td><\/tr><tr><td>Tesla T10<\/td><td>1E37 10DE 1370<\/td><\/tr><tr><td>NVIDIA T4G<\/td><td>1EB4 10DE 157D<\/td><\/tr><tr><td>Tesla T4<\/td><td>1EB8<\/td><\/tr><tr><td>NVIDIA T4 32GB<\/td><td>1EB9<\/td><\/tr><tr><td>NVIDIA A100-PG509-200<\/td><td>20B0 10DE 1450<\/td><\/tr><tr><td>NVIDIA A100-SXM4-40GB<\/td><td>20B0<\/td><\/tr><tr><td>NVIDIA A100-PCIE-40GB<\/td><td>20B1 10DE 145F<\/td><\/tr><tr><td>NVIDIA A100-SXM4-80GB<\/td><td>20B2 10DE 1463<\/td><\/tr><tr><td>NVIDIA A100-SXM4-80GB<\/td><td>20B2 10DE 147F<\/td><\/tr><tr><td>NVIDIA A100-SXM4-80GB<\/td><td>20B2 10DE 1484<\/td><\/tr><tr><td>NVIDIA PG506-242<\/td><td>20B3 10DE 14A7<\/td><\/tr><tr><td>NVIDIA PG506-243<\/td><td>20B3 10DE 14A8<\/td><\/tr><tr><td>NVIDIA A100-PCIE-80GB<\/td><td>20B5 10DE 1533<\/td><\/tr><tr><td>NVIDIA PG506-230<\/td><td>20B6 10DE 1491<\/td><\/tr><tr><td>NVIDIA PG506-232<\/td><td>20B6 10DE 1492<\/td><\/tr><tr><td>NVIDIA A30<\/td><td>20B7 10DE 1532<\/td><\/tr><tr><td>NVIDIA A100-PG506-207<\/td><td>20F0 10DE 1583<\/td><\/tr><tr><td>NVIDIA A100-PCIE-40GB<\/td><td>20F1 10DE 145F<\/td><\/tr><tr><td>NVIDIA A100-PG506-217<\/td><td>20F2 10DE 1584<\/td><\/tr><tr><td>NVIDIA A40<\/td><td>2235 10DE 145A<\/td><\/tr><tr><td>NVIDIA A16<\/td><td>25B6 10DE 14A9<\/td><\/tr><tr><td>NVIDIA A2<\/td><td>25B6 10DE 157E<\/td><\/tr><\/tbody><\/table><\/div><\/figure>\n\n\n\n<p>Sources : <a href=\"https:\/\/download.nvidia.com\/XFree86\/Linux-x86_64\/510.39.01\/README\/gsp.html\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA<\/a>, VideoCardz, <a href=\"https:\/\/www.tomshardware.com\/news\/nvidia-gpu-system-processor-introduction\" target=\"_blank\" rel=\"noreferrer noopener\">Tom&#8217;s Hardware US<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>R\u00e9serv\u00e9e aux cartes Tesla pour l'instant, cette fonctionnalit\u00e9 arrivera plus tard sur les PC portables Max-Q.<\/p>","protected":false},"author":87,"featured_media":698040,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[487,4072],"tags":[538],"hubs":[],"class_list":["post-698038","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-actualite","category-cartes-graphiques","tag-nvidia"],"acf":{"display_mode":"medium-img","post_show_excerpt":true,"post_source":"","hide_sidebar":false,"hide_advertising":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v23.1) - 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