{"id":49517,"date":"2025-03-19T21:04:01","date_gmt":"2025-03-19T13:04:01","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/spire-global-and-nvidia-collaborate-on-ai-weather-models\/"},"modified":"2025-03-19T21:04:01","modified_gmt":"2025-03-19T13:04:01","slug":"spire-global-and-nvidia-collaborate-on-ai-weather-models","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/spire-global-and-nvidia-collaborate-on-ai-weather-models\/","title":{"rendered":"Spire Global and Nvidia Collaborate on AI Weather Models"},"content":{"rendered":"<\/p>\n<p><b>Spire Global<\/b> introduced two AI weather models: AI-WX and AI-S2S, developed on the <b>Nvidia<\/b> Omniverse Blueprint for Earth-2 platform, Spire announced on March 18.<\/p>\n<p>These models utilize Spire\u2019s satellite data to generate medium-range and sub-seasonal forecasts, providing prediction capabilities for energy, utilities, and commodities sectors.<\/p>\n<p>Spire said the AI-WX model offers forecasts up to 20 days in advance, while AI-S2S extends predictions to 45 days. The models integrate data from Spire\u2019s satellite network, including atmospheric profiles, soil moisture readings, and ocean surface winds to produce probabilistic forecasts, presenting a spectrum of potential weather scenarios.&nbsp;<\/p>\n<p>Michael Eilts, general manager of Weather and Climate at Spire, commented: \u201cBy harnessing the computational power of NVIDIA graphic processing units (GPUs) paired with the unique space-based data from our satellite network, we have developed AI-driven models that transform how industries manage weather risks.\u201d<\/p>\n<p>Spire said the purpose of its AI models is to address challenges by delivering insights that allow companies to anticipate and mitigate weather-related disruptions. Freepoint Commodities and Dominion Energy are some of the companies that use Spire tools to assess weather risks.<\/p>\n<p>The launch of these models adds to Spire\u2019s previous collaboration with Nvidia in 2024, which integrated Spire\u2019s radio occultation data with Nvidia Earth-2 Cloud APIs.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Spire Global introduced two AI weather models: AI-WX and AI-S2S, developed on the Nvidia Omniverse Blueprint for Earth-2 platform, Spire announced on March 18. These models utilize Spire\u2019s satellite data to generate medium-range and sub-seasonal forecasts, providing prediction capabilities for energy, utilities, and commodities sectors. Spire said the AI-WX model offers forecasts up to 20 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":48604,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[],"class_list":["post-49517","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"_links":{"self":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/49517"}],"collection":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/comments?post=49517"}],"version-history":[{"count":0,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/49517\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media\/48604"}],"wp:attachment":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media?parent=49517"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/categories?post=49517"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/tags?post=49517"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}