{"id":15093,"date":"2024-03-21T13:47:43","date_gmt":"2024-03-21T13:47:43","guid":{"rendered":"https:\/\/metaverseplanet.net\/blog\/?p=15093"},"modified":"2026-01-20T10:20:25","modified_gmt":"2026-01-20T10:20:25","slug":"nvidia-announces-nim","status":"publish","type":"post","link":"https:\/\/metaverseplanet.net\/blog\/nvidia-announces-nim\/","title":{"rendered":"NVIDIA Announces NIM: AI Software Platform for Developers"},"content":{"rendered":"\n<p>NVIDIA has unveiled a new AI-driven software platform named &#8220;NIM,&#8221; aimed at facilitating the swift transition of artificial intelligence technologies into production environments. This announcement came as part of the key highlights during the GTC 2024 events.<\/p>\n\n\n\n<p>&#8220;NIM&#8221; by NVIDIA is designed to expedite the process of transferring pre-trained AI models to production settings. This development promises substantial time savings for developers.<\/p>\n\n\n\n<p>NVIDIA points out that deploying AI models into production environments typically takes weeks. NIM addresses this challenge by providing a solution for companies looking to fast-track their artificial intelligence initiatives, thereby significantly speeding up the deployment process.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">NIM is already supporting many companies<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/metaverseplanet.net\/blog\/wp-content\/uploads\/2024\/03\/NVIDIA-Announces-NIM-AI-Software-Platform-for-Developers-1024x576.jpeg\" alt=\"NVIDIA Announces NIM: AI Software Platform for Developers\" class=\"wp-image-15094\" srcset=\"https:\/\/metaverseplanet.net\/blog\/wp-content\/uploads\/2024\/03\/NVIDIA-Announces-NIM-AI-Software-Platform-for-Developers-1024x576.jpeg 1024w, https:\/\/metaverseplanet.net\/blog\/wp-content\/uploads\/2024\/03\/NVIDIA-Announces-NIM-AI-Software-Platform-for-Developers-300x169.jpeg 300w, https:\/\/metaverseplanet.net\/blog\/wp-content\/uploads\/2024\/03\/NVIDIA-Announces-NIM-AI-Software-Platform-for-Developers-768x432.jpeg 768w, https:\/\/metaverseplanet.net\/blog\/wp-content\/uploads\/2024\/03\/NVIDIA-Announces-NIM-AI-Software-Platform-for-Developers-390x220.jpeg 390w, https:\/\/metaverseplanet.net\/blog\/wp-content\/uploads\/2024\/03\/NVIDIA-Announces-NIM-AI-Software-Platform-for-Developers-150x84.jpeg 150w, https:\/\/metaverseplanet.net\/blog\/wp-content\/uploads\/2024\/03\/NVIDIA-Announces-NIM-AI-Software-Platform-for-Developers-scaled.jpeg 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>NVIDIA&#8217;s newly introduced software platform, NIM, is already equipped to support AI models from a diverse range of sources, including NVIDIA itself, A121, Adept, Cohere, Getty Images, and Shutterstock. Additionally, it extends support to open-source AI models from prominent tech entities such as Google, Hugging Face, Meta, Microsoft, Mistral AI, and Stability AI.<\/p>\n\n\n\n<p>However, NIM&#8217;s expansion is ongoing, with efforts to collaborate with major companies like Amazon, Google, and Microsoft for further support and integration.<\/p>\n\n\n\n<p>Moreover, NVIDIA plans to offer various microservices through NIM. For instance, companies will have the capability to utilize Riva for tailoring speech and translation models, and Earth-2 for conducting weather and climate simulations.<\/p>\n\n\n\n<p>The company also announced plans to broaden these offerings. For example, the RAG LLM architecture will be made compatible with NIM, enabling the creation of generative AI chatbots.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">You may also like this content<\/h3>\n\n\n<ul class=\"wp-block-latest-posts__list wp-block-latest-posts\"><\/ul>","protected":false},"excerpt":{"rendered":"<p>NVIDIA has unveiled a new AI-driven software platform named &#8220;NIM,&#8221; aimed at facilitating the swift transition of artificial intelligence technologies into production environments. This announcement came as part of the key highlights during the GTC 2024 events. &#8220;NIM&#8221; by NVIDIA is designed to expedite the process of transferring pre-trained AI models to production settings. This &hellip;<\/p>\n","protected":false},"author":1,"featured_media":15095,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"googlesitekit_rrm_CAown96uCw:productID":"","footnotes":""},"categories":[332],"tags":[335,102],"class_list":["post-15093","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-information","tag-ai-news","tag-nvidia-news-and-content"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/metaverseplanet.net\/blog\/wp-json\/wp\/v2\/posts\/15093","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/metaverseplanet.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/metaverseplanet.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/metaverseplanet.net\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/metaverseplanet.net\/blog\/wp-json\/wp\/v2\/comments?post=15093"}],"version-history":[{"count":0,"href":"https:\/\/metaverseplanet.net\/blog\/wp-json\/wp\/v2\/posts\/15093\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/metaverseplanet.net\/blog\/wp-json\/wp\/v2\/media\/15095"}],"wp:attachment":[{"href":"https:\/\/metaverseplanet.net\/blog\/wp-json\/wp\/v2\/media?parent=15093"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/metaverseplanet.net\/blog\/wp-json\/wp\/v2\/categories?post=15093"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/metaverseplanet.net\/blog\/wp-json\/wp\/v2\/tags?post=15093"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}